Publications


LiDAR Snowfall Simulation for Robust 3D Object Detection

Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022 (Oral)
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]   [Supplement]   [Poster]   [Video]  


Pix2NeRF: Unsupervised Conditional pi-GAN
for Single Image to Neural Radiance Fields Translation

Shengqu Cai, Anton Obukhov, Dengxin Dai, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[Paper]   [Supplement]   [Code]   [BibTeX]   [arXiv]  


P3Depth: Monocular Depth Estimation
with a Piecewise Planarity Prior

Vaishakh Patil, Christos Sakaridis, Alexander Liniger, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]   [Supplement]  


Sound and Visual Representation Learning
with Multiple Pretraining Tasks

Arun Balajee Vasudevan, Dengxin Dai, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]   [Supplement]  




Fog Simulation on Real LiDAR Point Clouds
for 3D Object Detection in Adverse Weather

Martin Hahner, Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE/CVF International Conference on Computer Vision (ICCV) 2021
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]   [Supplement]   [Poster]   [Slides]   [Video]  


End-to-End Urban Driving
by Imitating a Reinforcement Learning Coach

Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, and Luc Van Gool
IEEE/CVF International Conference on Computer Vision (ICCV) 2021
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project and Videos]   [Poster]   [Slides]  


Spectral Tensor Train Parameterization
of Deep Learning Layers

Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, and Luc Van Gool
International Conference on Artificial Intelligence and Statistics (AISTATS) 2021
[Paper]   [Supplement]   [Code]   [BibTeX]   [arXiv]   [Video]   [Project]  




Don't Forget The Past:
Recurrent Depth Estimation from Monocular Video

Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, and Luc Van Gool
IEEE Robotics and Automation Letters (RA-L), 2020.
International Conference on Intelligent Robots and Systems (IROS), Las Vegas, 2020.
[Paper]   [Predictions (Eigen test set)]   [BibTeX]   [arXiv]   [Project]  








Semantic Understanding of Foggy Scenes
with Purely Synthetic Data

Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, and Luc Van Gool
IEEE Intelligent Transportation Systems Conference (ITSC) 2019
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]