Bio

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. Now, my main research interest is scene understanding in adverse weather conditions.

News

Publications

2012

BachelorThesis.pdf

2017

Simulating Structure-from-Motion

Martin Hahner, Orestis Varesis, Panagiotis Bountouris
[arXiv]

2018

MasterThesis.pdf

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]

Ph.D. Impressions

CVPR 2022

oral presentation in New Orleans

ICVSS 2019

presenting a poster at the summer school

ITSC 2019

presenting at my first scientific conference

Contact

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