Contact & Bio

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Hi, 

I am Martin, former PhD Candidate at the Computer Vision Lab (CVL) of ETH Zürich supervised by Prof. Luc van Gool.
Before joining CVL in May 2018, I received my BSc in Mathematics at HfT Stuttgart
and my MSc in Computer Science at the IT University of Copenhagen

In between those two study programs I used to work three years in the automotive industry as Software Engineer focusing on Software Testing. In October 2022, I joined Sony as an R&D Software Engineer. For more info, please find my CV above.

Strengths

Full Report

full_report.pdf

Publications & Certificates

Bachelor Thesis (2012)

BachelorThesis.pdf

Master Thesis (2018)

MasterThesis.pdf

PhD Thesis (2022)

PhDThesis.pdf

2017

Simulating Structure-from-Motion 

Martin Hahner, Orestis Varesis, Panagiotis Bountouris
[arXiv]

2019

Semantic Understanding of Foggy Scenes with Purely Synthetic Data [ITSC 2019]

Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool
[arXiv] [website] [code]

Texture Underfitting for Domain Adaptation [ITSC 2019

Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool
[arXiv] 

2020

Quantifying Data Augmentation for LiDAR-based 3D Object Detection

Martin Hahner, Dengxin Dai, Alexander Liniger, and Luc Van Gool
[arXiv] [website]

Learning Accurate and Human-Like Driving using Semantic Maps and Attention [IROS 2020]

Simon Hecker, Dengxin Dai, Alexander Liniger,  Martin Hahner, and Luc Van Gool
[arXiv]

2021

Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather [ICCV 2021] 

Martin Hahner, Christos Sakaridis, Dengxin Dai, and Luc Van Gool
[arXiv] [website] [code] 

2022

LiDAR Snowfall Simulation for Robust 3D Object Detection (oral) [CVPR 2022

Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, and Luc Van Gool
[arXiv] [website] [code]

ISTQB Certified Tester (2013)

2013_ISTQB.pdf

Ph.D. Impressions

ICVSS 2019

presenting a poster at the summer school 

ITSC 2019

presenting at my first scientific conference

CVPR 2022

oral presentation in New Orleans