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J Liang, K Zhang, S Gu, L Van Gool, R Timofte.
Flow-based Kernel Prior with Application to Blind Super-Resolution.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Y Wei, S Gu, Y Li, R Timofte, L Jin, H Song.
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In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Deep Homography for Efficient Stereo Image Compression.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Deep Burst Super-Resolution.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Deep Burst Super-Resolution.
In arXiv preprint arXiv:2101.10997 , January 2021.
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V. Wolf, A. Lugmayr, M. Danelljan, L. Van Gool, R. Timofte.
DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows.
In arXiv preprint arXiv:2101.05796 , January 2021.
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P. Truong, M. Danelljan, L. Van Gool, R. Timofte.
Learning Accurate Dense Correspondences and When to Trust Them.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Learning Accurate Dense Correspondences and When to Trust Them.
In arXiv preprint arXiv:2101.01710 , January 2021.
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M. Paul, M. Danelljan, L. Van Gool, R. Timofte.
Local Memory Attention for Fast Video Semantic Segmentation.
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021) , September 2021.
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Local Memory Attention for Fast Video Semantic Segmentation.
In arXiv preprint arXiv:2101.01715 , January 2021.
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[220]
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RS Sukthanker, Z Huang, S Kumar, R Timofte, L Van Gool.
Generative Flows with Invertible Attentions.
In arXiv preprint arXiv:2106.03959, June 2021.
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D Fuoli, L Van Gool, R Timofte.
Fourier Space Losses for Efficient Perceptual Image Super-Resolution.
In arXiv preprint arXiv:2106.00783, June 2021.
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Y Li, H Chen, Z Cui, R Timofte, M Pollefeys, G Chirikjian, L Van Gool.
Towards Efficient Graph Convolutional Networks for Point Cloud Handling.
In arXiv preprint arXiv:2104.05706, April 2021.
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Y Li, K Zhang, J Cao, R Timofte, L Van Gool.
Towards Efficient Graph Convolutional Networks for Point Cloud Handling.
In arXiv preprint arXiv:2104.05707, April 2021.
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K Zhang, J Liang, L Van Gool, R Timofte.
Designing a practical degradation model for deep blind image super-resolution.
In arXiv preprint arXiv:2103.14006, March 2021.
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S. Nah, S. Son, S. Lee, R. Timofte, K.Mu. Lee et al.
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In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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NTIRE 2021 Challenge on Image Deblurring.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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A. Lugmayr, M. Danelljan, R. Timofte et al.
NTIRE 2021 Learning the Super-Resolution Space Challenge.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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C.O. Ancuti, C. Ancuti, F.-A. Vasluianu, R. Timofte et al.
NTIRE 2021 NonHomogeneous Dehazing Challenge Report.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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A. Abuolaim, R. Timofte, M.S. Brown et al.
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-Pixel Images: Methods and Results.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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M. El Helou, R. Zhou, S. Susstrunk, R. Timofte et al.
NTIRE 2021 Depth Guided Image Relighting Challenge.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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S. Son, S. Lee, S. Nah, R. Timofte, K.M. Lee et al.
NTIRE 2021 Challenge for Defocus Deblurring Using Dual-Pixel Images: Methods and Results.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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J. Liu, N. Inkawhich, O. Nina, R. Timofte et al.
NTIRE 2021 Multi-Modal Aerial View Object Classification Challenge.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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E. Perez-Pellitero, S. Catley-Chandar, A. Leonardis, R. Timofte et al.
NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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J. Gu, H. Cai, C. Dong, J.S. Ren, Y. Qiao, S. Gu, R. Timofte et al.
NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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C. Miron, A. Pasarica, R. Timofte.
Efficient CNN Architecture for Multi-Modal Aerial View Object Classification.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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[203]
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F.-A. Vasluianu, A. Romero, L. Van Gool, R. Timofte
Shadow Removal With Paired and Unpaired Learning.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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[202]
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A. Ignatov, G. Malivenko, D. Plowman, S. Shukla, R. Timofte et al.
Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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A. Ignatov, C.-M. Chiang, H.-K. Kuo, A. Sycheva, R. Timofte et al.
Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report.
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Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report.
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Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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A. Pouget, S. Ramesh, M. Giang, R. Chandrapalan, T. Tanner, M. Prussing, R. Timofte, A. Ignatov.
Fast and Accurate Camera Scene Detection on Smartphones.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2021.
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Y. Wu, Z. Huang, S. Kumar, R.S. Sukthanker, R. Timofte, L. Van Gool.
Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution.
In arXiv preprint arXiv:2101.06658 , January 2021.
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B. Zhao, G. Bhat, M. Danelljan, L. Van Gool, R. Timofte.
Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos .
In arXiv preprint arXiv:2101.02196 , January 2021.
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S. Shukla, A. Romero, L. Van Gool, R. Timofte.
Zero-Pair Image to Image Translation using Domain Conditional Normalization.
In IEEE Winter Conference on Applications of Computer Vision (WACV) , January 2021.
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D. Fuoli, Z. Huang, D.P. Paudel, L. Van Gool, R. Timofte.
An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement.
In arXiv preprint arXiv:2012.13033 , December 2020.
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P. Andermatt, R. Timofte.
A Weakly Supervised Convolutional Network for Change Segmentation and Classification.
In Asian Conference on Computer Vision (ACCV) Workshop , December 2020.
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F.-A. Vasluianu, A. Romero, L. Van Gool, R. Timofte.
Self-Supervised Shadow Removal.
In arXiv preprint arXiv:2010.11619 , October 2020.
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A. Romero, L. Van Gool, R. Timofte.
SMILE: Semantically-guided Multi-attribute Image and Layout Editing.
In arXiv preprint arXiv:2010.02315 , October 2020.
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A.S. Tripathi, M. Danelljan, L. Van Gool, R. Timofte.
Few-Shot Classification By Few-Iteration Meta-Learning.
In arXiv preprint arXiv:2010.00511 , October 2020.
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[187]
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C. Cioflan, R. Timofte.
MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search.
In arXiv preprint arXiv:2009.13940 , September 2020.
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[186]
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P. Truong, M. Danelljan, L. Van Gool, R. Timofte.
GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network.
In Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020) , December 2020.
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M.C. Bühler, A. Romero, R. Timofte.
DeepSEE: Deep Disentangled Semantic Explorative Extreme Super-Resolution.
In Asian Conference on Computer Vision (ACCV 2020) , November 2020. (oral)
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C. Mayer, M. Paul, R. Timofte.
Adversarial Feature Distribution Alignment for Semi-Supervised Learning.
In Computer Vision and Image Understanding, September 2020.
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[185]
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A. Ignatov, R. Timofte, et al.
AIM 2020 Challenge on Rendering Realistic Bokeh.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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A. Ignatov, R. Timofte, et al.
AIM 2020 Challenge on Learned Image Signal Processing Pipeline.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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D. Fuoli, Z. Huang, S. Gu, R. Timofte, et al.
AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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E. Ntavelis, A. Romero, S. Bigdeli, R. Timofte, et al.
AIM 2020 Challenge on Image Extreme Inpainting.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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S. Son, J. Lee, S. Nah, R. Timofte, K. M. Lee, et al.
AIM 2020 Challenge on Video Temporal Super-Resolution.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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P. Wei, H. Lu, R. Timofte, L. Lin, W. Zuo, et al.
AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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K. Zhang, M. Danelljan, Y. Li, R. Timofte.
AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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[178]
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M. El Helou, R. Zhou, S. Susstrunk, R. Timofte.
AIM 2020: Scene Relighting and Illumination Estimation Challenge.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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Y. Strumpler, R. Yang, R. Timofte.
Learning to Improve Image Compression without Changing the Standard Decoder.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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D. Kneubuehler, S. Gu, L. Van Gool, R. Timofte.
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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A. Volokitin, I. Susmelj, E. Agustsson, L. Van Gool, R. Timofte.
Efficiently Detecting Plausible Locations for Object Placement using Masked Convolutions.
In European Conferene on Computer Vision (ECCV) Workshops , August 2020.
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K. Zhang, Y. Li, W. Zuo, L. Zhang, L. Van Gool, R. Timofte.
Plug-and-Play Image Restoration with Deep Denoiser Prior.
In arXiv preprint arXiv:2008.13751 , July 2020.
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A. Carlier, M. Danelljan, A. Alahi, R. Timofte.
DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation.
In Thirty-Fourth Annual Conference on Neural Information Processing Systems (NeurIPS 2020) , December 2020.
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E. Ntavelis, I. Kastanis, L. Van Gool, R. Timofte.
Same Same but Different: Augmentation of Tiny Industrial Datasets using Generative Adversarial Networks.
In 2020 7th Swiss Conference on Data Science (SDS) , June 2020.
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Y. Li, W. Li, M. Danelljan, K. Zhang, S. Gu, L. Van Gool, R. Timofte.
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.
In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , June 2021.
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Y. Li, W. Li, M. Danelljan, K. Zhang, S. Gu, L. Van Gool, R. Timofte.
The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture.
In arXiv preprint arXiv:2006.16242 , June 2020.
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R. Yang, L. Van Gool, R. Timofte.
OpenDVC: An Open Source Implementation of the DVC Video Compression Method.
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A. Lugmayr, M. Danelljan, L. Van Gool, R. Timofte.
SRFlow: Learning the Super-Resolution Space with Normalizing Flow.
In European Conference on Computer Vision (ECCV) , August 2020.
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SRFlow: Learning the Super-Resolution Space with Normalizing Flow.
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R. Yang, F. Mentzer, L. Van Gool, R. Timofte.
Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model.
In IEEE Journal of Selected Topics in Signal Processing , December 2020.
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Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model.
In arXiv preprint arXiv:2006.13560 , June 2020.
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D. Kneubuehler, S. Gu, L. Van Gool, R. Timofte.
Flexible Example-based Image Enhancement with Task Adaptive Global Feature Self-Guided Network.
In arXiv preprint arXiv:2005.06654 , May 2020.
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M. Li, K. Zhang, W. Zuo, R. Timofte, D. Zhang.
Learning Context-Based Non-local Entropy Modeling for Image Compression.
In arXiv preprint arXiv:2005.04661 , May 2020.
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F.K. Gustafsson, M. Danelljan, R. Timofte, T. B. Schön.
How to Train Your Energy-Based Model for Regression.
In British Machine Vision Conference (BMVC) , September 2020.
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F.K. Gustafsson, M. Danelljan, R. Timofte, T. B. Schön.
How to Train Your Energy-Based Model for Regression.
In arXiv preprint arXiv:2005.01698 , May 2020.
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R. Yang, F. Mentzer, L. Van Gool, R. Timofte.
Learning for Video Compression with Hierarchical Quality and Recurrent Enhancement.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
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Y. Li, S. Gu, C. Mayer, L. Van Gool, R. Timofte.
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020.
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Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations.
In International Conference on 3D Vision (3DV), November 2020.
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Deep Unfolding Network for Image Super-Resolution.
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Know Your Surroundings: Exploiting Scene Information for Object Tracking.
In European Conference on Computer Vision (ECCV) , August 2020.
In arXiv preprint arXiv:2003.11014 , March 2020.
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Learning What to Learn for Video Object Segmentation.
In European Conference on Computer Vision (ECCV) , August 2020.
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DHP: Differentiable Meta Pruning via HyperNetworks.
In European Conference on Computer Vision (ECCV) , August 2020.
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SESAME: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects.
In European Conference on Computer Vision (ECCV) , August 2020.
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K. Zhang, S. Gu, R. Timofte et al.
NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[150]
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D. Fuoli, Z. Huang, M. Danelljan, R. Timofte et al.
NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[149]
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S. Yuan, R. Timofte, A. Leonardis, G. Slabaugh et al.
NTIRE 2020 Challenge on Image Demoireing: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[148]
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B. Arad, R. Timofte, O. Ben-Shahar, Y.-T. Lin, G. Finlayson, S. Givati et al.
NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[147]
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C.O. Ancuti, C. Ancuti, F.-A. Vasluianu, R. Timofte et al.
NTIRE 2020 Challenge on NonHomogeneous Dehazing.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[146]
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C.O. Ancuti, C. Ancuti, R. Timofte.
NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[145]
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S. Nah, S. Son, R. Timofte, K.M. Lee et al.
NTIRE 2020 Challenge on Image and Video Deblurring.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[144]
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A. Ignatov, J. Patel, R. Timofte.
Rendering Natural Camera Bokeh Effect with Deep Learning.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page |
AIM 2020 challenge]
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[]
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A. Ignatov, L. Van Gool, R. Timofte.
Replacing Mobile Camera ISP with a Single Deep Learning Model.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2020.
[ bib |
pdf |
project page ]
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[143]
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A. Ignatov, L. Van Gool, R. Timofte.
Replacing Mobile Camera ISP with a Single Deep Learning Model.
In https://arxiv.org/abs/2002.05509 , February 2020.
[ bib |
pdf |
project page ]
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[142]
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M. Paul, C. Mayer, L. Van Gool, R. Timofte.
Efficient Video Semantic Segmentation with Labels Propagation and Refinement.
In 2020 Winter Conference on Applications of Computer Vision (WACV) , Aspen, CO, USA, March 2020.
[ bib |
pdf ]
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[88]
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C. Mayer, R. Timofte.
Adversarial Sampling for Active Learning.
In 2020 Winter Conference on Applications of Computer Vision (WACV) , Aspen, CO, USA, March 2020.
[ bib |
pdf ]
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[141]
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S. Gu, S. Guo, W. Zuo, Y. Chen, R. Timofte, L. Van Gool, L. Zhang.
Learned Dynamic Guidance for Depth Image Reconstruction.
In IEEE Trans Pattern Analysis and Machine Intelligence (TPAMI), December 2019.
[ bib |
pdf |
Project page
]
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[]
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P. Truong, M. Danelljan, R. Timofte.
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2020. (oral)
[ bib |
pdf |
project page ]
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[140]
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P. Truong, M. Danelljan, R. Timofte.
GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences.
In https://arxiv.org/abs/1912.05524 , December 2019.
[ bib |
pdf |
project page ]
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[139]
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M. Fritsche, S. Gu, R. Timofte.
Frequency Separation for Real-World Super-Resolution.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
()
[ bib |
pdf |
project page ]
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[138]
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A. Ignatov, R. Timofte, A. Kulik, S. Yang, K. Wang, F. Baum, M. Wu, L. Xu L. Van Gool.
AI Benchmark: All About Deep Learning on Smartphones in 2019.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
project page ]
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[137]
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C. Mayer, M. Paul, R. Timofte.
Adversarial Feature Distribution Alignment for Semi-Supervised Learning.
In arXiv preprint arXiv:1912.10428, December 2019.
[ bib |
pdf |
project page (soon) ]
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[136]
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Z Huang, D.P. Paudel, G. Li, J. Wu, R. Timofte, L. Van Gool.
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement.
In arXiv preprint arXiv:1910.10455, December 2019.
[ bib |
pdf |
project page (soon) ]
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[135]
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C. Miron, V. Manta, R. Timofte, A. Pasarica, R.-I. Ciucu.
Efficient convolutional neural network for apparent age prediction.
In 2019 IEEE 15th International Conference on Intelligent Computer Communication and Processing (ICCP), Cluj-Napoca, Romania, 2019.
[ bib |
pdf ]
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[134]
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C. Miron, A. Pasarica, R.G.. Bozomitu, V. Manta, R. Timofte, R. Ciucu.
Efficient Pupil Detection with a Convolutional Neural Network.
In 2019 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2019.
[ bib |
pdf ]
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[133]
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C. Miron, A. Pasarica, H. Costin, V. Manta, R. Timofte, R. Ciucu.
Hand Gesture Recognition based on SVM Classification.
In 2019 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2019.
[ bib |
pdf ]
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[132]
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G.-C. Porusniuc, F. Leon, R. Timofte, C. Miron.
Convolutional Neural Networks Architectures for Facial Expression Recognition.
In 2019 E-Health and Bioengineering Conference (EHB), Iasi, Romania, 2019.
[ bib |
pdf ]
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[131]
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S. Nah, S. Son, R. Timofte, K.-M. Lee, et al.
AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[130]
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A. Lugmayr, M. Danelljan, R. Timofte, M. Fritsche, S. Gu, et al.
AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
project page (soon) |
challenge page ]
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[129]
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S Gu, M Danelljan, R Timofte, et al.
AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[128]
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S Gu, A Lugmayr, M Danelljan, M Fritsche, J Lamour, R Timofte.
DIV8K: DIVerse 8K Resolution Image Dataset.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[127]
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S Shukla, L Van Gool, R Timofte.
Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
project page ]
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[126]
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A Ignatov, J Patel, R Timofte, et al.
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[125]
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A Ignatov, R Timofte, et al.
AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[124]
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K Zhang, S Gu, R Timofte, et al.
AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[123]
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S Kim, G Li, D Fuoli, M Danelljan, Z Huang, S Gu, R Timofte.
The Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[122]
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A. Lugmayr, M. Danelljan, R. Timofte.
Unsupervised Learning for Real-World Super-Resolution.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[121]
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D. Fuoli, S. Gu, R. Timofte, et al.
AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[120]
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D. Fuoli, S. Gu, R. Timofte, et al.
Efficient Video Super-Resolution through Recurrent Latent Space Propagation.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
project page ]
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[119]
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S. Yuan, R. Timofte, G. Slabaugh, A. Leonardis, et al.
AIM 2019 Challenge on Image Demoireing: Methods and Results.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
|
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[118]
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S. Yuan, R. Timofte, G. Slabaugh, A. Leonardis.
AIM 2019 Challenge on Image Demoireing: Dataset and Study.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
challenge page ]
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[117]
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G. Bhat, M. Danelljan, L. Van Gool, R. Timofte.
Learning Discriminative Model Prediction for Tracking.
In The IEEE International Conference on Computer Vision (ICCV 2019) , Seoul, Korea, October 2019. (oral)
[ bib |
pdf |
Project page ]
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[116]
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Y. Li, S. Gu, L. Van Gool, R. Timofte.
Learning Filter Basis for Convolutional Operations in Neural Networks.
In The IEEE International Conference on Computer Vision (ICCV 2019) , Seoul, Korea, October 2019.
[ bib |
pdf |
suppl |
Project page ]
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[115]
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S. Gu, W. Li, L. Van Gool, R. Timofte.
Fast Image Restoration Networks with Multi-bin Trainable Linear Unit.
In The IEEE International Conference on Computer Vision (ICCV 2019) , Seoul, Korea, October 2019.
[ bib |
pdf |
Project page ]
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[114]
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S. Gu, Y. Li, L. Van Gool, R. Timofte.
Self-Guided Network for Fast Image Denoising.
In The IEEE International Conference on Computer Vision (ICCV 2019) , Seoul, Korea, October 2019.
[ bib |
pdf |
Project page ]
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[]
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E. Agustsson,M. Tschannen,F. Mentzer, R. Timofte, L. Van Gool.
Generative Adversarial Networks for Extreme Learned Image Compression.
In The IEEE International Conference on Computer Vision (ICCV 2019) , Seoul, Korea, October 2019.
[ bib |
pdf |
suppl |
Project page ]
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[113]
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A.S. Tripathi, M. Danelljan, L. Van Gool, R. Timofte.
Tracking the Known and the Unknown by Leveraging Semantic Information.
In 30th British Machine Vision Conference (BMVC 2019) , Cardiff, UK, September 2019. (oral)
()
[ bib |
pdf |
Project page ]
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[112]
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C.O. Ancuti, C. Ancuti, M. Sbert, R. Timofte.
Dense haze: A benchmark for image dehazing with dense-haze and haze-free images.
In The IEEE International Conference on Image Processing (ICIP) , Taipei, Taiwan, September 2019.
[ bib |
pdf |
Project page / dataset ]
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[111]
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R. Patcas, R. Timofte, A. Volokitin, E. Agustsson, T. Eliades, M. Eichenberger, M.M. Bornstein.
Facial attractiveness of cleft patients: a direct comparison between artificial-intelligence-based scoring and conventional rater groups.
In European Journal of Orthodontics , February 2019.
[ bib |
pdf ]
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[110]
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B. Dogan, S. Gu, R. Timofte.
Exemplar Guided Face Image Super-Resolution without Facial Landmarks.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Long Beach, US, June 2019.
[ bib |
pdf |
Project page ]
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[109]
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S. Nah, R. Timofte, S. Gu, S. Baik, S. Hong, G. Moon, S. Son, K.M. Lee, et al.
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , Long Beach, US, June 2019.
[ bib |
pdf |
Challenge page ]
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[108]
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S. Nah, R. Timofte, S. Baik, S. Hong, G. Moon, S. Son, K.M. Lee, et al.
Ntire 2019 challenge on video deblurring: Methods and results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
|
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[107]
|
S. Nah, S. Baik, S. Hong, G. Moon, S. Son, R. Timofte, K.M. Lee.
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
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[107]
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A. Abdelhamed, R. Timofte, M.S. Brown, et al.
NTIRE 2019 challenge on real image denoising: Methods and results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
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[106]
|
S. Gu, R. Timofte, R. Zhang, et al.
NTIRE 2019 challenge on image colorization: Report.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
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[105]
|
J. Cai, S. Gu, R. Timofte, L. Zhang, et al.
NTIRE 2019 challenge on real image super-resolution: Methods and results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
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[104]
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C.O. Ancuti, C. Ancuti, R. Timofte, L. Van Gool, L. Zhang, M.-H. Yang, et al.
NTIRE 2019 Image Dehazing Challenge Report.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page
Project page / dataset]
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[103]
|
A. Ignatov, R. Timofte, et al.
NTIRE 2019 Challenge on Image Enhancement: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2019.
[ bib |
pdf |
Challenge page ]
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[102]
|
Y. Li, V. Tsiminaki, R. Timofte, M. Pollefeys, L. Van Gool.
3D Appearance Super-Resolution with Deep Learning.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019.
[ bib |
pdf |
suppl. material |
Project page
]
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[]
|
E. Agustsson, A. Sage, R. Timofte, L. Van Gool.
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models.
In International Conference on Learned Representations (ICLR) , New Orleans, US, May 2019.
[ bib |
pdf ]
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[101]
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S. Gu, R. Timofte.
A brief review of image denoising algorithms and beyond.
In Inpainting and Denoising Challenges. Springer series on Challenges in Machine Learning., 2019.
[ bib |
pdf
]
|
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[100]
|
D. Malesevic, C. Mayer, S. Gu, R. Timofte.
Photo-realistic and Robust Inpainting of Faces using Refinement GANs.
In Inpainting and Denoising Challenges. Springer series on Challenges in Machine Learning., 2019.
[ bib |
pdf |
Project page (soon)
]
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[99]
|
F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, L. Van Gool.
Practical Full Resolution Learned Lossless Image Compression.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR), June 2019 (oral).
[ bib |
pdf |
Project page |
Presentation
]
|
|
[99]
|
F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, L. Van Gool.
Practical Full Resolution Learned Lossless Image Compression.
In 1811.12817 , November 2018.
[ bib |
pdf |
Project page
]
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[98]
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A. Romero, P. Arbelaez, L. Van Gool, R. Timofte.
SMIT: Stochastic Multi-Label Image-to-Image Translation.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, October 2019.
[ bib |
pdf |
Project page
]
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[98]
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A. Romero, P. Arbelaez, L. Van Gool, R. Timofte.
SMIT: Stochastic Multi-Label Image-to-Image Translation.
In 1812.03704 , December 2018.
[ bib |
pdf |
Project page
]
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[ 97 ]
|
B. Kaya, Y. B. Can, R. Timofte.
Towards Spectral Estimation from a Single RGB Image in the Wild.
In The IEEE International Conference on Computer Vision (ICCV) Workshops, Seoul, Korea, October 2019.
[ bib |
pdf |
Project page ]
|
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[97]
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B. Kaya, Y. B. Can, R. Timofte.
Towards Spectral Estimation from a Single RGB Image in the Wild.
In 1812.00805 , December 2018.
[ bib |
pdf |
Project page
]
|
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[96]
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A. Anoosheh, T. Sattler, R. Timofte, M. Pollefeys, L. Van Gool.
Night-to-Day Image Translation for Retrieval-based Localization.
In International Conference on Robotics and Automation (ICRA) , Montreal, Canada, May 2019.
[ bib |
pdf |
Project page
]
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[96]
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A. Anoosheh, T. Sattler, R. Timofte, M. Pollefeys, L. Van Gool.
Night-to-Day Image Translation for Retrieval-based Localization.
In arXiv:1809.09767 , September 2018.
[ bib |
pdf |
Project page
]
|
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[95]
|
E. de Stoutz, A. Ignatov, N. Kobyshev, R. Timofte, L. Van Gool.
Fast Perceptual Image Enhancement.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
project page ]
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[94]
|
Y. Li, E. Agustsson, S. Gu, R. Timofte, L. Van Gool.
CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
code ]
|
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[93]
|
A. Ignatov, R. Timofte, et al.
PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
arXiv ]
challenge page ]
PIRM workshop page ]
|
|
[92]
|
A. Ignatov, R. Timofte, W. Chou, K. Wang, M. Wu, T. Hartley, L. Van Gool.
AI Benchmark: Running Deep Neural Networks on Android Smartphones.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
arXiv ]
AI Benchmark page ]
|
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[91]
|
Y. Blau, R. Mechrez, R. Timofte, T. Michaeli, L. Zelnik-Manor.
The 2018 PIRM Challenge on Perceptual Image Super-resolution.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
challenge page ]
PIRM workshop page ]
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[90]
|
M. Shoeiby, A. Robles-Kelly, R. Wei, R. Timofte.
PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
challenge page ]
PIRM workshop page ]
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[89]
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M. Shoeiby, A. Robles-Kelly, R. Timofte, R. Zhou, F. Lahoud, S. Susstrunk, Z. Xiong, Z. Shi, C. Chen, D. Liu, Z.-J. Zha, F. Wu, K. Wei, T. Zhang, L. Wang, Y. Fu, K. Nagasubramanian, A. K. Singh, A. Singh, S. Sarkar, B. Ganapathysubramanian.
PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results.
In European Conference on Computer Vision (ECCV) Workshops , September 2018.
[ bib |
pdf |
challenge page ]
PIRM workshop page ]
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[88]
|
C. Mayer, R. Timofte.
Adversarial Sampling for Active Learning.
In arXiv preprint arXiv:1808.06671, August 2018.
[ bib |
pdf ]
|
|
[87]
|
S. Gu, R. Timofte, and L. Van Gool.
Integrating Local and Non-Local Denoiser Priors for Image Restoration.
In 24th International Conference on Pattern Recognition (ICPR 2018), August 2018, China.
[ bib |
pdf ]
|
|
[86]
|
C.O. Ancuti, C. Ancuti, R. Timofte, C. De Vleeschouwer.
I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images.
In Advanced Concepts for Intelligent Vision Systems (ACIVS) , September 2018, France.
[ bib |
pdf |
arXiv |
I-HAZE dataset ]
Challenge page ]
|
|
[85]
|
C.O. Ancuti, C. Ancuti, R. Timofte, C. De Vleeschouwer.
O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
O-HAZE dataset ]
Challenge page ]
|
|
[84]
|
C. Mayer, R. Timofte, G. Paul.
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.
In Computer Vision and Image Understanding journal, July 2021.
[ bib |
pdf ]
|
|
[84]
|
C. Mayer, R. Timofte, G. Paul.
Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models.
In arXiv preprint arXiv:1808.01625, July 2018.
[ bib |
pdf ]
|
|
[83]
|
S. Gu, R. Timofte, L. Van Gool.
Multi-bin Trainable Linear Unit for Fast Image Restoration Networks
In arXiv preprint arXiv:1807.11389 , July 2018.
[ bib |
pdf ]
|
|
[82]
|
R. Patcas, D.A.J. Bernini, A. Volokitin, E. Agustsson, R. Rothe, R. Timofte.
Applying artificial intelligence to assess the impact of orthognathic treatment on facial attractiveness and estimated age.
In International Journal of Oral and Maxillofacial Surgery , July 2018.
[ bib |
pdf ]
|
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[81]
|
S. Palsson, E. Agustsson, R. Timofte, L. Van Gool.
Generative Adversarial Style Transfer Networks for Face Aging.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf ]
|
|
[80]
|
R. Timofte, S. Gu, J. Wu, L. Van Gool, L. Zhang, M.-H. Yang, M. Harris, G. Shakhnarovich, N. Ukita, et al.
NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
Challenge page ]
|
|
[79]
|
C. Ancuti, C.O. Ancuti,R. Timofte, L. Van Gool, L. Zhang, M.-H. Yang, V.M. Patel, H. Zhang, V.A. Sindagi, et al.
NTIRE 2018 Challenge on Image Dehazing: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
Challenge page ]
|
|
[78]
|
B. Arad, O. Ben-Shahar, R. Timofte, L. Van Gool, L. Zhang, M.-H. Yang, Z. Xiong, C. Chen, Z. Shi, D. Liu, F. Wu, et al.
NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
Challenge page ]
|
|
[77]
|
Y.B. Can, R. Timofte.
An efficient CNN for spectral reconstruction from RGB images.
In arXiv:1804.04647, April 2018.
[ bib |
pdf |
Project page ]
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[76]
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E. Agustsson*, F. Mentzer*, M. Tschannen*, R. Timofte, L. Van Gool.
Generative Adversarial Networks for Extreme Learned Image Compression.
In arXiv:1804.02958, April 2018.
[ bib |
pdf |
Project page ](* equal contributions)
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[75]
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E. Agustsson*, F. Mentzer*, M. Tschannen, R. Timofte, L. Van Gool.
Conditional Probability Models for Deep Image Compression.
In Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.
[ bib |
pdf |
Project page (codes, data) ](* equal contributions)
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[74]
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R. Torfason, F. Mentzer, E. Agustsson, M. Tschannen, R. Timofte, L. Van Gool.
Towards Image Understanding from Deep Compression without Decoding.
In International Conference on Learning Representations (ICLR), April 2018.
[ bib |
pdf ]
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[73]
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A. Anoosheh, E. Agustsson, R. Timofte, L. Van Gool.
ComboGAN: Unrestrained Scalability for Image Domain Translation.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
Project page
]
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[73]
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A. Anoosheh, E. Agustsson, R. Timofte, L. Van Gool.
ComboGAN: Unrestrained Scalability for Image Domain Translation.
In 1712.06909, Dec 2017.
[ bib |
pdf |
Project page
]
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[72]
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A. Sage, E. Agustsson, R. Timofte, L. Van Gool.
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks.
In Conference on Computer Vision and Pattern Recognition (CVPR), June 2018.
[ bib |
pdf |
Source codes and LLD dataset
]
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[72]
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A. Sage, E. Agustsson, R. Timofte, L. Van Gool.
Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks.
In 1712.04407, Dec 2017.
[ bib |
pdf |
Source codes and LLD dataset
]
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[71]
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E. Agustsson, A. Sage, R. Timofte, L. Van Gool.
Optimal transport maps for distribution preserving operations on latent spaces of Generative Models.
In 1711.01970, Nov 2017.
[ bib |
pdf ]
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[70]
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A. Ignatov, N. Kobyshev, R. Timofte, K. Vanhoey, L. Van Gool.
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops , June 2018.
[ bib |
pdf |
Source codes and DPED dataset |
DEMO: phancer.com ]
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[70]
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A. Ignatov, N. Kobyshev, R. Timofte, K. Vanhoey, L. Van Gool.
WESPE: Weakly Supervised Photo Enhancer for Digital Cameras.
In 1709.01118, Sept 2017.
[ bib |
pdf |
Source codes and DPED dataset |
DEMO: phancer.com ]
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[69]
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J. Aeschbacher, J. Wu, R. Timofte.
In Defense of Shallow Learned Spectral Reconstruction from RGB Images.
In IEEE International Conference on Computer Vision Workshop (ICCVW 2017), October 2017, Italy.
[ bib |
pdf |
Source codes and data ]
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[68]
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M. Hajibabaei, A. Volokitin, R. Timofte.
Early Adaptation of Deep Priors in Age Prediction from Face Images.
In IEEE International Conference on Computer Vision Workshop (ICCVW 2017), October 2017, Italy.
[ bib |
pdf |
project page ]
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[67]
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E. Agustsson, R. Timofte, L. Van Gool.
Anchored Regression Networks applied to Age Estimation and Super Resolution.
In International Conference on Computer Vision (ICCV 2017), October 2017, Italy.
[ bib |
pdf ]
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[66]
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I. Susmelj, E. Agustsson, R. Timofte.
ABC-GAN: Adaptive Blur and Control for improved training stability of Generative Adversarial Networks.
In International Conference on Machine Learning (ICML 2017) Workshop on Implicit Models, August 2017, Australia.
[ bib |
pdf |
Workshop on Implicit Models |
models and codes ]
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[65]
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E. Agustsson, R. Timofte.
NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017.
[ bib |
pdf |
NTIRE 2017 Workshop |
NTIRE 2017 SR Challenge factsheets |
NTIRE 2017 SR Challenge |
DIV2K dataset ]
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[64]
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R. Timofte, E. Agustsson, L. Van Gool, M.-H. Yang, L. Zhang, B. Lim, S. Son, H. Kim, S. Nah, K.M. Lee,
X. Wang, Y. Tian, K. Yu, Y. Zhang, S. Wu, C. Dong, L. Lin, Y. Qiao, C.C. Loy, W. Bae, J. Yoo, Y. Han, J.C. Ye,
J.-S. Choi, M. Kim, Y. Fan, J. Yu, W. Han, D. Liu, H. Yu, Z. Wang, H. Shi, X. Wang, T.S. Huang,
Y. Chen, K. Zhang, W. Zuo, Z. Tang, L. Luo, S. Li, M. Fu, L. Cao, W. Heng, G. Bui, T. Le, Y. Duan,
D. Tao, R. Wang, X. Lin, J. Pang, J. Xu, Y. Zhao, X. Xu, J. Pan, D. Sun, Y. Zhang, X. Song, Y. Dai, X. Qin,
X.-P. Huynh, T. Guo, H.S. Mousavi, T.H. Vu, V. Monga, C. Cruz, K. Egiazarian, V. Katkovnik, R. Mehta,
A.K. Jain, A. Agarwalla, C.V.S. Praveen, R. Zhou, H. Wen, C. Zhu, Z. Xia, Z. Wang, Q. Guo.
NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results.
In The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, July 2017.
[ bib |
pdf |
NTIRE 2017 Workshop |
NTIRE 2017 SR Challenge factsheets |
NTIRE 2017 SR Challenge |
DIV2K dataset |
suppl. results ]
|
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[63]
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D. Bernini-Hodel, E. Agustsson, R. Timofte, S. Affolter, R. Patcas.
Using artificial intelligence to evaluate the impact of orthognathic therapy on apparent age and facial attractiveness.
In The 93rd European Orthodontic Society Congress (EOS 2017), June 2017, Switzerland.
()
[ bib |
pdf |
poster ]
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[62]
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E. Agustsson, F. Mentzer, M. Tschannen, L. Cavigelli, R. Timofte, L. Benini, L. Van Gool.
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
In 2017 Conference on Neural Information Processing Systems (NIPS) , April 2017.
[ bib |
pdf ]
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[62]
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E. Agustsson, F. Mentzer, M. Tschannen, L. Cavigelli, R. Timofte, L. Benini, L. Van Gool.
Soft-to-Hard Vector Quantization for End-to-End Learned Compression of Images and Neural Networks.
In 1704.00648, April 2017.
[ bib |
pdf ]
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[61]
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Y. Liang, R. Timofte, J. Wang, S. Zhou, Y. Gong, N. Zheng.
Single Image Super Resolution-When Model Adaptation Matters.
In Pattern Recognition, August 2021.
[ bib |
pdf |
Source codes and data (soon) ]
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[61]
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Y. Liang, R. Timofte, J. Wang, Y. Gong, N. Zheng.
Single Image Super Resolution-When Model Adaptation Matters.
In 1703.10889, March 2017.
[ bib |
pdf |
Source codes and data (soon) ]
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[60]
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J. Wu, R. Timofte, Z. Huang, L. Van Gool.
On the Relation between Color Image Denoising and Classification.
In 1704.01372, April 2017.
[ bib |
pdf |
Source codes and data (soon) ]
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[59]
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A. Ignatov, N. Kobyshev, R. Timofte, K. Vanhoey, L. Van Gool.
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks.
In International Conference on Computer Vision (ICCV 2017), October 2017, Italy.
[ bib |
pdf |
suppl. mat. |
Source codes and DPED dataset |
DEMO: phancer.com ]
|
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[59]
|
A. Ignatov, N. Kobyshev, R. Timofte, K. Vanhoey, L. Van Gool.
DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks.
In 1704.02470, April 2017.
[ bib |
pdf |
Source codes and DPED dataset |
DEMO: phancer.com ]
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[58]
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J. Kwon, R. Timofte, and L. Van Gool.
Leveraging observation uncertainty for robust visual tracking.
Journal Computer Vision and Image Understanding (CVIU 2017), 2017.
[ bib |
pdf ]
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[57]
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E. Agustsson, R. Timofte, S. Escalera, X. Baro, I. Guyon, and R. Rothe,
Apparent and real age estimation in still images with deep residual regressors on APPA-REAL database.
In 12th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2017), May 2017, US.
()
[ bib |
pdf |APPA-REAL database ]
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[56]
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A. Steger and R. Timofte.
Failure Detection for Facial Landmark Detectors.
In 13th Asian Conference on Computer Vision (ACCV Workshops 2016), November 2016, Taiwan.
[ bib |
pdf ]
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[55]
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J. Wu, R. Timofte, and L. Van Gool.
Generic 3D Convolutional Fusion for Image Restoration.
In 13th Asian Conference on Computer Vision (ACCV Workshops 2016), November 2016, Taiwan.
[ bib |
pdf ]
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[54]
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R. Torfason, E. Agustsson, R. Rothe, and R. Timofte.
From face images and attributes to attributes.
In 13th Asian Conference on Computer Vision (ACCV 2016), November 2016, Taiwan.
[ bib |
pdf ]
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[53]
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R. Rothe, R. Timofte, and L. Van Gool.
Deep expectation of real and apparent age from a single image without facial landmarks.
Journal International Journal of Computer Vision (IJCV 2016), 2016.
[ bib |
pdf |
Models and IMDB-WIKI dataset |
DEMO: howhot.io ]
|
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[52]
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R. Timofte.
Anchored Fusion for Image Restoration.
In 23rd International Conference on Pattern Recognition (ICPR 2016), December 2016, Mexico.
[ bib |
pdf |
Source codes and images (soon) ]
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[51]
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E. Agustsson, R. Timofte, and L. Van Gool.
Regressor Basis Learning for Anchored Super-Resolution.
In 23rd International Conference on Pattern Recognition (ICPR 2016), December 2016, Mexico.
[ bib |
pdf ]
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[50]
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E. Agustsson, R. Timofte, and L. Van Gool.
k2-means for fast and accurate large scale clustering.
In The European Conference on Machine Learning &
Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2017), September 2017, Macedonia.
[ bib |
pdf]
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[50]
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E. Agustsson, R. Timofte, and L. Van Gool.
k2-means for fast and accurate large scale clustering.
In arXiv:1605.09299, May 2016.
[ bib |
pdf |
Source codes and data (soon) ]
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[49]
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J. Wu, R. Timofte, and L. Van Gool.
Demosaicing based on Directional Difference Regression and Efficient Regression Priors.
Journal IEEE Transactions on Image Processing (TIP 2016), 2016.
[ bib |
pdf |
Source codes and images ]
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[48]
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A. Volokitin, R. Timofte, and L. Van Gool.
Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes.
In Robust Features for Computer Vision workshop (CVPR 2016), June 2016, US.
[ bib |
pdf |
Source codes and images ]
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[47]
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M. Uricar, R. Timofte, R. Rothe, J. Matas, and L. Van Gool.
Structured Output SVM Prediction of Apparent Age, Gender and Smile From Deep Features.
In ChaLearn Looking at People and Faces of the World: Face Analysis Workshop and Challenge (CVPR 2016), June 2016, US.
()
[ bib |
pdf |
Source codes and models ]
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[46]
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T. Kroeger, R. Timofte, D. Dai, and L. Van Gool.
Fast Optical Flow using Dense Inverse Search.
In European Conference on Computer Vision (ECCV 2016), October 2016, Netherlands.
[ bib |
pdf |
Project page ]
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[46]
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T. Kroeger, R. Timofte, D. Dai, and L. Van Gool.
Fast Optical Flow using Dense Inverse Search.
In arXiv:1603.03590, March 2016.
[ bib |
pdf |
Project page ]
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[45]
|
R. Timofte, J. Kwon, and L. Van Gool.
PICASO: PIxel Correspondences And SOft Match Selection for Real-time Tracking.
Journal Computer Vision and Image Understanding (CVIU 2016), 2016.
[ bib |
pdf |
Project page ]
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[44]
|
S. Manen, R. Timofte, D. Dai, and L. Van Gool.
Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure.
In IEEE Winter Conference on Applications of Computer Vision (WACV 2016), March 2016, US.
[ bib |
pdf |
Suppl. material ]
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[43]
|
R. Timofte, R. Rothe, and L. Van Gool.
Seven ways to improve example-based single image super resolution.
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2016), June 2016, US.
[ bib |
pdf |
Supplementary material |
L20 dataset ]
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[43]
|
R. Timofte, R. Rothe, and L. Van Gool.
Seven ways to improve example-based single image super resolution.
In arXiv:1511.02228, November 2015.
[ bib |
pdf ]
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[42]
|
R. Rothe, R. Timofte, and L. Van Gool.
Some like it hot - visual guidance for preference prediction.
In 2016 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2016), June 2016, US.
[ bib |
pdf |
DEMO: howhot.io ]
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[42]
|
R. Rothe, R. Timofte, and L. Van Gool.
Some like it hot - visual guidance for preference prediction.
In arXiv:1510.07867, October 2015.
[ bib |
pdf |
DEMO: howhot.io ]
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[41]
|
R. Rothe, R. Timofte, and L. Van Gool.
DEX: Deep EXpectation of apparent age from a single image.
In Looking at People Workshop at International Conference on Computer Vision (ICCV 2015), December 2015, Chile.
()
()
[ bib |
pdf |
Models and IMDB-WIKI dataset |
DEMO: howhot.io ]
|
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[40]
|
R. Rothe, R. Timofte, and L. Van Gool.
DLDR: Deep Linear Discriminative Retrieval for cultural event classification from a single image.
In Looking at People Workshop at International Conference on Computer Vision (ICCV 2015), December 2015, Chile.
()
[ bib |
pdf ]
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[39]
|
R. Timofte*, V. De Smet*, and L. Van Gool.
Semantic super-resolution: when and where is it useful?
Journal Computer Vision and Image Understanding (CVIU 2015), 2015. (* equal contributions)
[ bib |
pdf ]
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[38]
|
R. Rothe, R. Timofte, and L. Van Gool.
Efficient Regression Priors for Reducing Image Compression Artifacts.
In 22nd IEEE International Conference on Image Processing (ICIP 2015), September 2015, Canada.
[ bib |
pdf |
Source codes and images ]
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[37]
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J. Wu, R. Timofte, and L. Van Gool.
Efficient Regression Priors for Post-processing Demosaiced Images.
In 22nd IEEE International Conference on Image Processing (ICIP 2015), September 2015, Canada.
[ bib |
pdf |
Source codes and images (soon) ]
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[36]
|
H. Honda, R. Timofte, and L. Van Gool.
Make My Day - High-Fidelity Color Denoising with Near-Infrared.
In 11th IEEE Workshop on Perception Beyond the Visible Spectrum (PBVS) - CVPR Workshops, June 2015, USA.
[ bib |
pdf |
MMD images (RGB+NIR) ]
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[35]
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D. Dai, T. Kroeger, R. Timofte, and L. Van Gool.
Metric Imitation by manifold transfer for efficient vision applications.
In 2015 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2015), June 2015, USA.
[ bib |
pdf |
Project ]
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[34]
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D. Dai, R. Timofte, and L. Van Gool.
Jointly Optimized Regressors for Image Super-resolution.
Journal Computer Graphics Forum, vol. 34, num. 2, pp. 95-104, June 2015.
[ bib |
pdf |
Source codes ]
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[34]
|
D. Dai, R. Timofte, and L. Van Gool.
Jointly Optimized Regressors for Image Super-resolution.
In The 36th Annual Conference of the European Association for Computer Graphics (EUROGRAPHICS 2015), May 2015, Switzerland.
[ bib |
pdf |
Source codes ]
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[33]
|
R. Timofte and L. Van Gool.
SparseFlow: Sparse Matching for Small to Large Displacement Optical Flow.
In IEEE Winter Conference on Applications of Computer Vision (WACV 2015), January 2015, US.
[ bib |
pdf |
Source codes ]
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[32]
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J. Wu, R. Timofte, and L. Van Gool.
Learned Collaborative Representations for Image Classification.
In IEEE Winter Conference on Applications of Computer Vision (WACV 2015), January 2015, US.
[ bib |
pdf |
Source codes ]
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[31]
|
T. Kroeger, D. Dai, R. Timofte, and L. Van Gool.
Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos.
In 1st Workshop on Benchmarking multi-target tracking (BMTT @ WACV 2015), January 2015, US.
[ bib |
pdf |
more ]
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[30]
|
R. Timofte, V. De Smet, and L. Van Gool.
A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution.
In Asian Conference on Computer Vision (ACCV 2014), November 2014, Singapore.
[ bib |
pdf |
Supplementary material |
Source codes ]
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[29]
|
R. Timofte and L. Van Gool.
Iterative Nearest Neighbors.
Journal Pattern Recognition (PR 2014), 2014.
[ bib |
pdf |
Source codes ]
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[28]
|
M. Pedersoli, R. Timofte, T. Tuytelaars, and L. Van Gool.
An Elastic Deformation Field Model for Object Detection and Tracking.
In International Journal of Computer Vision, June 2014.
[ bib |
pdf ]
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[27]
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M. Pedersoli, R. Timofte, T. Tuytelaars, and L. Van Gool.
An Elastic Deformation Field Model for Object Detection and Tracking.
In Tech. Report, KU Leuven/ESAT/PSI/1402, April 2014, Belgium.
[ bib |
pdf ]
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[26]
|
B. Verhagen, R. Timofte, and L. Van Gool.
Scale-Invariant Line Descriptors for Wide Baseline Matching.
In Winter Conference on Applications of Computer Vision (WACV 2014), March 2014, USA.
[ bib |
pdf |
Source codes ]
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[25]
|
R. Timofte, V. De Smet, and L. Van Gool.
Anchored Neighborhood Regression for Fast Example-Based Super-Resolution.
In International Conference on Computer Vision (ICCV 2013), December 2013, Australia.
[ bib |
pdf |
poster |
Supplementary material |
Source codes ]
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[24]
|
M. Mathias, R. Benenson, R. Timofte, and L. Van Gool.
Handling Occlusions with Franken-classifiers.
In International Conference on Computer Vision (ICCV 2013), December 2013, Australia.
[ bib |
pdf (includes supplementary material) ]
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[23]
|
R. Timofte and L. Van Gool.
Adaptive and Weighted Collaborative Representations for Image Classification.
Journal Pattern Recognition Letters (PRL 2014), vol.43, July 2014.
[ bib |
pdf |
Source codes ]
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[22]
|
F. Schouwenaars, R. Timofte, and L. Van Gool.
Robust Scene Stitching in Large Scale Mobile Mapping.
In British Machine Vision Conference (BMVC 2013), September 2013, UK.
[ bib |
pdf ]
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[21]
|
R. Timofte.
Sparse and Collaborative Representations for Computer Vision.
PhD Thesis (supervisor: Prof. Dr. Ing. Luc Van Gool), KU Leuven, June 2013, Belgium.
[ bib |
pdf ]
|
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[20]
|
R. Timofte, and L. Van Gool.
Efficient Loopy Belief Propagation using the Four Color Theorem. In Advanced Topics in Computer Vision, Series Title: Advances in Computer Vision and Pattern Recognition .
Editors: G. Farinella, S. Battiato, and R. Cipolla. Springer-Verlag London Ltd., 2013.
(in print)
[ bib |
pdf ]
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[19]
|
M. Mathias*, R. Timofte*, R. Benenson, and L. Van Gool.
Traffic Sign Recognition - How far are we from the solution?.
In International Joint Conference on Neural Networks (IJCNN 2013), August 2013, Dallas, USA. (* equal contributions)
()
()
[ bib |
html |
pdf ]
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[18]
|
R. Timofte and L. Van Gool.
Weighted Collaborative Representation and Classification of Images.
In 21st International Conference on Pattern Recognition (ICPR 2012), November 2012, Japan. ()
[ bib |
pdf ]
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[17]
|
R. Timofte, T. Tuytelaars, and L. Van Gool.
Naive Bayes Image Classification: beyond Nearest Neighbors.
In Asian Conference on Computer Vision (ACCV 2012), November 2012, Korea.
[ bib |
pdf ]
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[16]
|
R. Timofte and L. Van Gool.
Automatic Stave Discovery for Musical Facsimiles.
In Asian Conference on Computer Vision (ACCV 2012), November 2012, Korea.
[ bib |
Supplementary material |
pdf ]
|
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[15]
|
R. Benenson, M. Mathias, R. Timofte, and L. Van Gool.
Fast Stixel Computation for Fast Pedestrian Detection.
In 3rd IEEE Workshop on Computer Vision in Vehicle Technology: From Earth to Mars (CVVT @ ECCV 2012), October 2012, Italy. ()
[ bib |
pdf |
more ]
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[14]
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B. Gunyel, R. Benenson, R. Timofte, and L. Van Gool.
Stixels Motion Estimation without Optical Flow Computation.
In 12th European Conference on Computer Vision (ECCV 2012), October 2012, Italy.
[ bib |
pdf |
more ]
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[13]
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R. Timofte and L. Van Gool.
A Training-free Classification Framework for Textures, Writers, and Materials.
In British Machine Vision Conference (BMVC 2012), September 2012, UK.
[ bib |
pdf ]
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[12]
|
R. Timofte and L. Van Gool.
Iterative Nearest Neighbors for Classification and Dimensionality Reduction.
In 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2012), June 2012, USA.
[ bib |
pdf |
INNC.m ]
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[11]
|
R. Benenson, M. Mathias, R. Timofte, and L. Van Gool.
Pedestrian Detection at 100 Frames per Second.
In 2012 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2012), June 2012, USA.
[ bib |
pdf |
more ]
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[10]
|
R. Timofte, K. Zimmermann, and L. Van Gool.
Multi-view Traffic Sign Detection, Recognition, and 3D Localisation.
Journal of Machine Vision and Applications (MVA 2011), DOI 10.1007/s00138-011-0391-3, December 2011, Springer-Verlag.
[ bib |
html |
pdf ]
|
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[9]
|
V. Lasdas, R. Timofte, and L. Van Gool.
Non-Parametric Motion-Priors for Flow Understanding.
In IEEE Workshop on Applications of Computer Vision (WACV 2012), January 2012, USA.
[ bib |
children_sequence.zip |
pdf ]
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[8]
|
R. Timofte, V.A. Prisacariu, L.J. Van Gool, and I. Reid.
Combining Traffic Sign Detection with 3D Tracking Towards Better Driver Assistance.
Emerging Topics in Computer Vision and its Applications (editor: C.H. Chen). World Scientific Publishing. September 2011.
[ bib |
html |
pdf ]
|
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[7]
|
R. Timofte and L. Van Gool.
Multi-view Manhole Detection, Recognition, and 3D Localisation.
In 1st IEEE/ISPRS Workshop on Computer Vision for Remote Sensing of the Environment (CVRS @ ICCV 2011),
November 2011, Barcelona, Spain.
[ bib |
pdf ]
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[6]
|
R. Benenson, R. Timofte, and L. Van Gool.
Stixels Estimation Without Depth Map Computation.
In 2nd IEEE Workshop on Computer Vision in Vehicle Technology: From Earth to Mars (CVVT @ ICCV 2011),
November 2011, Barcelona, Spain.
[ bib |
pdf |
more ]
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[5]
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R. Timofte and L. Van Gool.
Sparse Representation Based Projections.
In British Machine Vision Conference (BMVC 2011), 2011, UK.
[ bib |
pdf ]
|
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[4]
|
R. Timofte and L. Van Gool.
Four Colour Theorem for Fast Early Vision.
In Asian Conference on Computer Vision (ACCV 2010), November 2010, New Zealand.
[ bib |
Supplementary material |
pdf ]
|
|
[3]
|
J. Knopp, M. Prasad, G. Willems, R. Timofte and L. Van Gool.
Hough Transform and 3D SURF for Robust Three Dimensional Classification.
In European Conference on Computer Vision (ECCV 2010), September 2010, Greece.
[ bib |
html |
pdf ]
|
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[2]
|
V.A. Prisacariu, R. Timofte, K. Zimmermann, I. Reid, and L. Van Gool.
Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System.
In International Conference on Pattern Recognition (ICPR 2010), August 2010, Turkey.
[ bib |
html |
pdf ]
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R. Timofte, K. Zimmermann, and L. Van Gool.
Multi-view Traffic Sign Detection, Recognition, and 3D Localisation.
In IEEE Workshop on Applications of Computer Vision (WACV 2009), December 2009, USA.
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