| 2025 | SIGGRAPH | GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering. | Zinuo You, Stamatios Georgoulis, Anpei Chen, Siyu Tang, Dengxin Dai |
| 2024 | CVPR | FreePoint: Unsupervised Point Cloud Instance Segmentation. | Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Guisong Xia |
| 2024 | ECCV | MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. | Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taix, Marc Pollefeys, Daniel Cremers, Luc Van Gool |
| 2024 | ICRA | Object-centric Cross-modal Feature Distillation for Event-based Object Detection. | Lei Li, Alexander Liniger, Mario Millhusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai |
| 2024 | IROS | U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. | Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel |
| 2024 | WACV | 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. | Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool |
| 2023 | CVPR | Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. | Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele |
| 2023 | CVPR | HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. | Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai |
| 2023 | CVPR | Federated Incremental Semantic Segmentation. | Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai |
| 2023 | CVPR | Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. | Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool |
| 2023 | CVPR | MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. | Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool |
| 2023 | CVPR | Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. | Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele |
| 2023 | ICCV | EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. | Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2023 | ICCV | SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. | Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele |
| 2023 | ICLR | Towards Robust Object Detection Invariant to Real-World Domain Shifts. | Qi Fan, Mattia Seg, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai |
| 2023 | ICRA | Test-time Domain Adaptation for Monocular Depth Estimation. | Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai |
| 2023 | IROS | LiDAR Meta Depth Completion. | Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai |
| 2023 | ICRA | TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2023 | WACV | Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. | Ke Li, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Continual Test-Time Domain Adaptation. | Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai |
| 2022 | CVPR | Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. | Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Decoupling Zero-Shot Semantic Segmentation. | Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai |
| 2022 | CVPR | CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. | Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele |
| 2022 | CVPR | Bi-level Alignment for Cross-Domain Crowd Counting. | Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele |
| 2022 | CVPR | LiDAR Snowfall Simulation for Robust 3D Object Detection. | Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. | Lukas Hoyer, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. | Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin |
| 2022 | CVPR | Scribble-Supervised LiDAR Semantic Segmentation. | Ozan Unal, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Sound and Visual Representation Learning with Multiple Pretraining Tasks. | Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool |
| 2022 | CVPR | Adiabatic Quantum Computing for Multi Object Tracking. | Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool |
| 2022 | ECCV | TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. | Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool |
| 2022 | ECCV | Class-Agnostic Object Counting Robust to Intraclass Diversity. | Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele |
| 2022 | ECCV | HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. | Lukas Hoyer, Dengxin Dai, Luc Van Gool |
| 2022 | WACV | Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. | Ke Li, Dengxin Dai, Luc Van Gool |
| 2021 | AAAI | Analogical Image Translation for Fog Generation. | Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool |
| 2021 | AISTATS | Spectral Tensor Train Parameterization of Deep Learning Layers. | Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool |
| 2021 | CVPR | Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. | Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool |
| 2021 | CVPR | Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. | Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Kring, Suman Saha, Luc Van Gool |
| 2021 | CVPR | Self-Aligned Video Deraining With Transmission-Depth Consistency. | Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai |
| 2021 | ICCV | Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. | Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink |
| 2021 | ICCV | mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. | Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool |
| 2021 | ICCV | Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. | Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. | Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | Task Switching Network for Multi-task Learning. | Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool |
| 2021 | ICCV | End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. | Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2021 | WACV | Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. | Ozan Unal, Luc Van Gool, Dengxin Dai |
| 2020 | CVPR | Self-supervised Object Motion and Depth Estimation from Video. | Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler |
| 2020 | ECCV | Weakly Supervised 3D Object Detection from Lidar Point Cloud. | Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai |
| 2020 | ECCV | Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. | Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink |
| 2020 | ECCV | Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. | Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool |
| 2020 | ECCV | Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks. | Wending Yan, Robby T. Tan, Dengxin Dai |
| 2020 | ICML | T-Basis: a Compact Representation for Neural Networks. | Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool |
| 2020 | IROS | Learning Accurate and Human-Like Driving using Semantic Maps and Attention. | Simon Hecker, Dengxin Dai, Alexander Liniger, Martin Hahner, Luc Van Gool |
| 2020 | IROS | Depth Estimation from Monocular Images and Sparse Radar Data. | Juan-Ting Lin, Dengxin Dai, Luc Van Gool |
| 2020 | IROS | Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. | Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool |
| 2019 | ICCV | Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. | Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2018 | CVPR | Domain Adaptive Faster R-CNN for Object Detection in the Wild. | Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2018 | CVPR | Object Referring in Videos With Language and Human Gaze. | Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool |
| 2018 | ECCV | End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. | Simon Hecker, Dengxin Dai, Luc Van Gool |
| 2018 | ECCV | Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. | Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool |
| 2018 | ICPR | Delving into the Synthesizability of Dynamic Texture Samples. | Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang |
| 2018 | WACV | Object Referring in Visual Scene with Spoken Language. | Arun Balajee Vasudevan, Dengxin Dai |
| 2017 | ICCV | PathTrack: Fast Trajectory Annotation with Path Supervision. | Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool |
| 2017 | SIGGRAPH | VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. | Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, Andrs Bdis-Szomor, Santiago Mann, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool |
| 2016 | CVPR | Scale-Aware Alignment of Hierarchical Image Segmentation. | Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool |
| 2016 | CVPR | Fast Algorithms for Linear and Kernel SVM+. | Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool |
| 2016 | ECCV | Fast Optical Flow Using Dense Inverse Search. | Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool |
| 2016 | WACV | Is image super-resolution helpful for other vision tasks? | Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool |
| 2016 | WACV | Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure. | Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool |
| 2015 | CVPR | Metric imitation by manifold transfer for efficient vision applications. | Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool |
| 2015 | CVPR | Joint vanishing point extraction and tracking. | Till Kroeger, Dengxin Dai, Luc Van Gool |
| 2015 | WACV | Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. | Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool |
| 2014 | CVPR | The Synthesizability of Texture Examples. | Dengxin Dai, Hayko Riemenschneider, Luc Van Gool |
| 2014 | CVPR | Latent Dictionary Learning for Sparse Representation Based Classification. | Meng Yang, Dengxin Dai, Lilin Shen, Luc Van Gool |
| 2013 | ICCV | Ensemble Projection for Semi-supervised Image Classification. | Dengxin Dai, Luc Van Gool |
| 2013 | ICCV | Example-Based Facade Texture Synthesis. | Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool |
| 2012 | ECCV | Ensemble Partitioning for Unsupervised Image Categorization. | Dengxin Dai, Mukta Prasad, Christian Leistner, Luc Van Gool |
| 2012 | ECCV | Learning Domain Knowledge for Faade Labelling. | Dengxin Dai, Mukta Prasad, Gerhard Schmitt, Luc Van Gool |
| 2010 | CVPR | Discovering scene categories by information projection and cluster sampling. | Dengxin Dai, Tianfu Wu, Song Chun Zhu |
| 2010 | ICIP | Fast semantic scene segmentation with conditional random field. | Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, Chu He |
| 2010 | ICPR | Three-layer Spatial Sparse Coding for Image Classification. | Dengxin Dai, Wen Yang, Tianfu Wu |