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2024

Bayesian Self-Training for Semi-Supervised 3D Segmentation

Ozan Ünal, Christos Sakaridis, and Luc Van Gool
European Conference on Computer Vision (ECCV) 2024
[Paper]   [BibTeX]   [arXiv]   [Project]  

Four Ways to Improve Verbo-visual Fusion for Dense 3D Visual Grounding

Ozan Ünal, Christos Sakaridis, Suman Saha, and Luc Van Gool
European Conference on Computer Vision (ECCV) 2024
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes

Diandian Guo, Deng-Ping Fan, Tongyu Lu, Christos Sakaridis, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (Highlight)
[Paper]   [BibTeX]   [arXiv]   [Project]  

Condition-Invariant Semantic Segmentation

Christos Sakaridis, David Bruggemann, Fisher Yu, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI) 2024 (under review)
[Paper]   [Code]   [BibTeX]   [arXiv]  

UniDepth: Universal Monocular Metric Depth Estimation

Luigi Piccinelli, Yung-Hsu Yang, Christos Sakaridis, Mattia Segu, Siyuan Li, Luc Van Gool, and Fisher Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2024 (Highlight)
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

2023

Real-Time Motion Prediction via Heterogeneous Polyline Transformer with Relative Pose Encoding

Zhejun Zhang, Alexander Liniger, Christos Sakaridis, Fisher Yu, and Luc Van Gool
Advances in Neural Information Processing Systems (NeurIPS) 2023
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

iDisc: Internal Discretization for Monocular Depth Estimation

Luigi Piccinelli, Christos Sakaridis, and Fisher Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

Indiscernible Object Counting in Underwater Scenes

Guolei Sun, Zhaochong An, Yun Liu, Ce Liu, Christos Sakaridis, Deng-Ping Fan, and Luc Van Gool
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2023
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

Masked Vision-Language Transformer in Fashion

Ge-Peng Jin, Mingcheng Zhuge, Dehong Gao, Deng-Ping Fan, Christos Sakaridis, and Luc Van Gool
Machine Intelligence Research (MIR) 2023
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction

Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, and Luc Van Gool
International Conference on Robotics and Automation (ICRA) 2023
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

2022

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]   [Models]   [BibTeX]   [arXiv]   [Project]   [Supplement]   [Poster]   [Video]  

TT-NF: Tensor Train Neural Fields

Anton Obukhov, Mikhail Usvyatsov, Christos Sakaridis, Konrad Schindler, and Luc Van Gool
Preprint, under review
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

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]  

2021

ACDC:
The Adverse Conditions Dataset with Correspondences
for Semantic Driving Scene Understanding

Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE/CVF International Conference on Computer Vision (ICCV), 2021
[Paper]   [Dataset]   [BibTeX]   [arXiv]  

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]   [Models]   [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]  

2020

T-Basis: a Compact Representation for Neural Networks

Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, and Luc Van Gool
International Conference on Machine Learning (ICML) 2020
[Paper]   [Code]   [BibTeX]   [arXiv]   [Poster]   [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]  

Map-Guided Curriculum Domain Adaptation
and Uncertainty-Aware Evaluation
for Semantic Nighttime Image Segmentation

Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2020
[Paper]   [Code]   [UIoU Challenge]   [BibTeX]   [arXiv]   [Project]  

Curriculum Model Adaptation
with Synthetic and Real Data
for Semantic Foggy Scene Understanding

Dengxin Dai, and Christos Sakaridis, Simon Hecker, and Luc Van Gool
International Journal of Computer Vision (IJCV), 2020
[Paper]   [Code]   [BibTeX]   [arXiv]   [Project]  

Semantic Object Prediction
and Spatial Sound Super-Resolution
with Binaural Sounds

Arun Balajee Vasudevan, Dengxin Dai, and Luc Van Gool
European Conference on Computer Vision (ECCV) 2020 (Spotlight)
[Paper]   [Code/Data]   [BibTeX]   [arXiv]   [Project]  

Talk2Nav: Long-Range Vision-and-Language Navigation
with Dual Attention and Spatial Memory

Arun Balajee Vasudevan, Dengxin Dai, and Luc Van Gool
International Journal on Computer Vision (IJCV) 2020
[Paper]   [Video]   [BibTeX]   [arXiv]   [Project]  

2019

Guided Curriculum Model Adaptation
and Uncertainty-Aware Evaluation
for Semantic Nighttime Image Segmentation

Christos Sakaridis, Dengxin Dai, and Luc Van Gool
IEEE/CVF International Conference on Computer Vision (ICCV), 2019
[Paper]   [UIoU Challenge]   [BibTeX]   [arXiv]   [Project]   [Supplement]  

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]