Dengxin Dai - RankMe

223 papers A* 49A 13B 4C 1Journal 132Unranked 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	ACDC: The Adverse Conditions Dataset With Correspondences for Robust Semantic Driving Scene Perception. IEEE Trans. Pattern Anal. Mach. Intell. Christos Sakaridis, Haoran Wang, Ke Li, René Zurbrügg, Arpit Jadon, Wim Abbeloos, Daniel Olmeda Reino, Luc Van Gool, Dengxin Dai
2025	J	`jnl`	Beyond Calibration: Physically Informed Learning for Raw-to-Raw Mapping. CoRR Peter Grönquist, Stepan Tulyakov, Dengxin Dai
2025	J	`jnl`	Burst Image Super-Resolution with Mamba. CoRR Ozan Unal, Steven Marty, Dengxin Dai
2025	J	`jnl`	ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. CoRR Kai Chen, Ruiyuan Gao, Lanqing Hong, Hang Xu, Xu Jia, Holger Caesar, Dengxin Dai, Bingbing Liu, Dzmitry Tsishkou, Songcen Xu, Chunjing Xu, Qiang Xu, Huchuan Lu, Dit-Yan Yeung
2025	—	`conf`	GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering. SIGGRAPH (Conference Paper Track) Zinuo You, Stamatios Georgoulis, Anpei Chen, Siyu Tang, Dengxin Dai
2025	J	`jnl`	GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering. CoRR Zinuo You, Stamatios Georgoulis, Anpei Chen, Siyu Tang, Dengxin Dai
2025	J	`jnl`	RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving. CoRR Arpit Jadon, Haoran Wang, Phillip Thomas, Michael Stanley, S. Nathaniel Cibik, Rachel Laurat, Omar Maher, Lukas Hoyer, Ozan Unal, Dengxin Dai
2025	J	`jnl`	Reflection Removal through Efficient Adaptation of Diffusion Transformers. CoRR Daniyar Zakarin, Thiemo Wandel, Anton Obukhov, Dengxin Dai
2025	J	`jnl`	Robust Object Detection with Domain-Invariant Training and Continual Test-Time Adaptation. Int. J. Comput. Vis. Qi Fan, Mattia Segù, Bernt Schiele, Dengxin Dai, Yu-Wing Tai, Chi-Keung Tang
2025	J	`jnl`	Test-Time Training for Hyperspectral Image Super-Resolution. IEEE Trans. Pattern Anal. Mach. Intell. Ke Li, Luc Van Gool, Dengxin Dai
2024	A	`conf`	2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2024	J	`jnl`	Benchmarking the Robustness of LiDAR Semantic Segmentation Models. Int. J. Comput. Vis. Xu Yan, Chaoda Zheng, Ying Xue, Zhen Li, Shuguang Cui, Dengxin Dai
2024	J	`jnl`	Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Lukas Hoyer, Dengxin Dai, Luc Van Gool
2024	J	`jnl`	Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. CoRR Xu Yan, Haiming Zhang, Yingjie Cai, Jingming Guo, Weichao Qiu, Bin Gao, Kaiqiang Zhou, Yue Zhao, Huan Jin, Jiantao Gao, Zhen Li, Lihui Jiang, Wei Zhang, Hongbo Zhang, Dengxin Dai, Bingbing Liu
2024	A*	`conf`	FreePoint: Unsupervised Point Cloud Instance Segmentation. CVPR Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Guisong Xia
2024	—	`conf`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. ECCV (39) Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. CoRR Linyan Yang, Lukas Hoyer, Mark Weber, Tobias Fischer, Dengxin Dai, Laura Leal-Taixé, Marc Pollefeys, Daniel Cremers, Luc Van Gool
2024	J	`jnl`	MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. IEEE Trans. Pattern Anal. Mach. Intell. Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
2024	A*	`conf`	Object-centric Cross-modal Feature Distillation for Event-based Object Detection. ICRA Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
2024	J	`jnl`	Test-time Training for Hyperspectral Image Super-resolution. CoRR Ke Li, Luc Van Gool, Dengxin Dai
2024	A	`conf`	U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. IROS Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel
2023	J	`jnl`	2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2023	J	`jnl`	Benchmarking the Robustness of LiDAR Semantic Segmentation Models. CoRR Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai
2023	J	`jnl`	Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
2023	A*	`conf`	Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool
2023	J	`jnl`	Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
2023	J	`jnl`	Discwise Active Learning for LiDAR Semantic Segmentation. CoRR Ozan Ünal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool
2023	J	`jnl`	Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. Ozan Unal, Dengxin Dai, Ali Tamer Ünal, Luc Van Gool
2023	J	`jnl`	Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2023	A*	`conf`	EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023	J	`jnl`	EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
2023	A*	`conf`	Federated Incremental Semantic Segmentation. CVPR Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
2023	J	`jnl`	Federated Incremental Semantic Segmentation. CoRR Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
2023	J	`jnl`	FreePoint: Unsupervised Point Cloud Instance Segmentation. CoRR Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia
2023	A*	`conf`	HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CVPR Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai
2023	J	`jnl`	HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CoRR Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai
2023	—	`conf`	HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. ITSC Tim Brödermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2023	J	`jnl`	Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
2023	A	`conf`	Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV Ke Li, Dengxin Dai, Luc Van Gool
2023	A	`conf`	LiDAR Meta Depth Completion. IROS Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai
2023	J	`jnl`	LiDAR Meta Depth Completion. CoRR Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Dengxin Dai
2023	A*	`conf`	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
2023	J	`jnl`	MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
2023	J	`jnl`	No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai
2023	J	`jnl`	Object-centric Cross-modal Feature Distillation for Event-based Object Detection. CoRR Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
2023	J	`jnl`	Revisiting Consistency Regularization for Semi-Supervised Learning. Int. J. Comput. Vis. Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	A*	`conf`	SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. ICCV Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	J	`jnl`	SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. CoRR Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
2023	A*	`conf`	Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. CVPR Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele
2023	J	`jnl`	Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding. CoRR Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele
2023	A*	`conf`	Test-time Domain Adaptation for Monocular Depth Estimation. ICRA Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai
2023	A*	`conf`	Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
2023	A*	`conf`	TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2023	J	`jnl`	TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2023	J	`jnl`	U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. CoRR Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel
2023	A*	`conf`	Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele
2022	A*	`conf`	Adiabatic Quantum Computing for Multi Object Tracking. CVPR Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Adiabatic Quantum Computing for Multi Object Tracking. CoRR Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
2022	A*	`conf`	Bi-level Alignment for Cross-Domain Crowd Counting. CVPR Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
2022	J	`jnl`	Bi-level Alignment for Cross-Domain Crowd Counting. CoRR Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
2022	A*	`conf`	Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CVPR Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin
2022	—	`conf`	Class-Agnostic Object Counting Robust to Intraclass Diversity. ECCV (33) Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
2022	A*	`conf`	CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CVPR Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele
2022	A*	`conf`	Continual Test-Time Domain Adaptation. CVPR Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai
2022	J	`jnl`	Continual Test-Time Domain Adaptation. CoRR Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai
2022	A*	`conf`	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	A*	`conf`	Decoupling Zero-Shot Semantic Segmentation. CVPR Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai
2022	J	`jnl`	Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
2022	J	`jnl`	End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
2022	J	`jnl`	End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
2022	—	`conf`	HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection. CoRR Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2022	A	`conf`	Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV Ke Li, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool
2022	A*	`conf`	LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
2022	J	`jnl`	MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
2022	J	`jnl`	Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. Christos Sakaridis, Dengxin Dai, Luc Van Gool
2022	A*	`conf`	Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
2022	J	`jnl`	Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
2022	J	`jnl`	Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
2022	J	`jnl`	Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
2022	J	`jnl`	One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. CoRR Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool
2022	A*	`conf`	Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
2022	A*	`conf`	Scribble-Supervised LiDAR Semantic Segmentation. CVPR Ozan Unal, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Scribble-Supervised LiDAR Semantic Segmentation. CoRR Ozan Unal, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Simulating Road Spray Effects in Automotive Lidar Sensor Models. CoRR Clemens Linnhoff, Dominik Scheuble, Mario Bijelic, Lukas Elster, Philipp Rosenberger, Werner Ritter, Dengxin Dai, Hermann Winner
2022	A*	`conf`	Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2022	J	`jnl`	Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2022	—	`conf`	TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
2021	A*	`conf`	ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV Christos Sakaridis, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. CoRR Christos Sakaridis, Dengxin Dai, Luc Van Gool
2021	A*	`conf`	Analogical Image Translation for Fog Generation. AAAI Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool
2021	J	`jnl`	Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
2021	J	`jnl`	Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CoRR Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin
2021	A*	`conf`	Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CVPR Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CoRR Yue Fan, Dengxin Dai, Bernt Schiele
2021	J	`jnl`	DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR Lukas Hoyer, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	DLOW: Domain Flow and Applications. Int. J. Comput. Vis. Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	Decoupling Zero-Shot Semantic Segmentation. CoRR Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai
2021	A*	`conf`	Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink
2021	J	`jnl`	Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool
2021	A*	`conf`	End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2021	J	`jnl`	End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
2021	A*	`conf`	Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. CoRR Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". Int. J. Comput. Vis. Dengxin Dai, Robby T. Tan, Vishal Patel, Jiri Matas, Bernt Schiele, Luc Van Gool
2021	J	`jnl`	Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. CoRR Ke Li, Dengxin Dai, Ender Konukoglu, Luc Van Gool
2021	A	`conf`	Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. WACV Ozan Unal, Luc Van Gool, Dengxin Dai
2021	J	`jnl`	Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
2021	J	`jnl`	Learnable Online Graph Representations for 3D Multi-Object Tracking. CoRR Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Martin Danelljan, Luc Van Gool
2021	J	`jnl`	Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2021	A*	`conf`	Self-Aligned Video Deraining With Transmission-Depth Consistency. CVPR Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai
2021	A	`conf`	Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	Spectral Tensor Train Parameterization of Deep Learning Layers. CoRR Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
2021	J	`jnl`	TADA: Taxonomy Adaptive Domain Adaptation. CoRR Rui Gong, Martin Danelljan, Dengxin Dai, Wenguan Wang, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
2021	J	`jnl`	Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2021	A*	`conf`	Task Switching Network for Multi-task Learning. ICCV Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool
2021	A*	`conf`	Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
2021	A*	`conf`	mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. ICCV Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
2020	A	`conf`	Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. IROS Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool
2020	J	`jnl`	Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. CoRR Jan-Nico Zaech, Dengxin Dai, Alexander Liniger, Luc Van Gool
2020	J	`jnl`	Analogical Image Translation for Fog Generation. CoRR Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
2020	J	`jnl`	Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. CoRR Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. Int. J. Comput. Vis. Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool
2020	A	`conf`	Depth Estimation from Monocular Images and Sparse Radar Data. IROS Juan-Ting Lin, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Depth Estimation from Monocular Images and Sparse Radar Data. CoRR Juan-Ting Lin, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. CoRR Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. IEEE Robotics Autom. Lett. Vaishakh Patil, Wouter Van Gansbeke, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation. CoRR Ozan Unal, Luc Van Gool, Dengxin Dai
2020	A	`conf`	Learning Accurate and Human-Like Driving using Semantic Maps and Attention. IROS Simon Hecker, Dengxin Dai, Alexander Liniger, Martin Hahner, Luc Van Gool
2020	J	`jnl`	Learning Accurate and Human-Like Driving using Semantic Maps and Attention. CoRR Simon Hecker, Dengxin Dai, Alexander Liniger, Luc Van Gool
2020	J	`jnl`	Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. CoRR Christos Sakaridis, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Matching Neuromorphic Events and Color Images via Adversarial Learning. CoRR Fang Xu, Shijie Lin, Wen Yang, Lei Yu, Dengxin Dai, Gui-Song Xia
2020	J	`jnl`	Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform. CoRR Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
2020	—	`conf`	Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks. ECCV (12) Wending Yan, Robby T. Tan, Dengxin Dai
2020	—	`conf`	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. ECCV (7) Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
2020	J	`jnl`	Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. CoRR Yuan Tian, Qin Wang, Zhiwu Huang, Wen Li, Dengxin Dai, Minghao Yang, Jun Wang, Olga Fink
2020	J	`jnl`	Quantifying Data Augmentation for LiDAR based 3D Object Detection. CoRR Martin Hahner, Dengxin Dai, Alexander Liniger, Luc Van Gool
2020	J	`jnl`	Revisiting Multi-Task Learning in the Deep Learning Era. CoRR Simon Vandenhende, Stamatios Georgoulis, Marc Proesmans, Dengxin Dai, Luc Van Gool
2020	—	`conf`	Self-supervised Object Motion and Depth Estimation from Video. CVPR Workshops Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler
2020	—	`conf`	Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. ECCV (4) Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. CoRR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2020	A*	`conf`	T-Basis: a Compact Representation for Neural Networks. ICML Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	T-Basis: a Compact Representation for Neural Networks. CoRR Anton Obukhov, Maxim V. Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool
2020	J	`jnl`	Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation. CoRR Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
2020	—	`conf`	Weakly Supervised 3D Object Detection from Lidar Point Cloud. ECCV (13) Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai
2020	J	`jnl`	Weakly Supervised 3D Object Detection from Lidar Point Cloud. CoRR Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai
2020	J	`jnl`	mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. CoRR Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool
2019	J	`jnl`	Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. CoRR Dengxin Dai, Christos Sakaridis, Simon Hecker, Luc Van Gool
2019	A*	`conf`	Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. ICCV Christos Sakaridis, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Learning Accurate, Comfortable and Human-like Driving. CoRR Simon Hecker, Dengxin Dai, Luc Van Gool
2019	—	`conf`	Learning a Curve Guardian for Motorcycles. ITSC Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Learning a Curve Guardian for Motorcycles. CoRR Simon Hecker, Alexander Liniger, Henrik Maurenbrecher, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Learning the Synthesizability of Dynamic Texture Samples. IEEE Trans. Image Process. Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang
2019	C	`conf`	Real-time 3D Traffic Cone Detection for Autonomous Driving. IV Ankit Dhall, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Real-time 3D Traffic Cone Detection for Autonomous Driving. CoRR Ankit Dhall, Dengxin Dai, Luc Van Gool
2019	J	`jnl`	Self-supervised Object Motion and Depth Estimation from Video. CoRR Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler
2019	J	`jnl`	Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation. CoRR Christos Sakaridis, Dengxin Dai, Luc Van Gool
2019	—	`conf`	Semantic Understanding of Foggy Scenes with Purely Synthetic Data. ITSC Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool
2019	J	`jnl`	Semantic Understanding of Foggy Scenes with Purely Synthetic Data. CoRR Martin Hahner, Dengxin Dai, Christos Sakaridis, Jan-Nico Zaech, Luc Van Gool
2019	J	`jnl`	Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. CoRR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2019	—	`conf`	Texture Underfitting for Domain Adaptation. ITSC Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool
2019	J	`jnl`	Texture Underfitting for Domain Adaptation. CoRR Jan-Nico Zaech, Dengxin Dai, Martin Hahner, Luc Van Gool
2018	—	`conf`	Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. ITSC Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. CoRR Dengxin Dai, Luc Van Gool
2018	B	`conf`	Delving into the Synthesizability of Dynamic Texture Samples. ICPR Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang
2018	A*	`conf`	Domain Adaptive Faster R-CNN for Object Detection in the Wild. CVPR Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Domain Adaptive Faster R-CNN for Object Detection in the Wild. CoRR Yuhua Chen, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. IEEE Trans. Pattern Anal. Mach. Intell. Wen Li, Zheng Xu, Dong Xu, Dengxin Dai, Luc Van Gool
2018	—	`conf`	End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. ECCV (7) Simon Hecker, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. CoRR Dengxin Dai, Wen Li, Till Kroeger, Luc Van Gool
2018	B	`conf`	Failure Prediction for Autonomous Driving. Intelligent Vehicles Symposium Simon Hecker, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Failure Prediction for Autonomous Driving. CoRR Simon Hecker, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Learning Driving Models with a Surround-View Camera System and a Route Planner. CoRR Simon Hecker, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Learning the Synthesizability of Dynamic Texture Samples. CoRR Feng Yang, Gui-Song Xia, Dengxin Dai, Liangpei Zhang
2018	—	`conf`	Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. ECCV (13) Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool
2018	J	`jnl`	Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. CoRR Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool
2018	A*	`conf`	Object Referring in Videos With Language and Human Gaze. CVPR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Object Referring in Videos with Language and Human Gaze. CoRR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2018	A	`conf`	Object Referring in Visual Scene with Spoken Language. WACV Arun Balajee Vasudevan, Dengxin Dai
2018	J	`jnl`	Semantic Foggy Scene Understanding with Synthetic Data. Int. J. Comput. Vis. Christos Sakaridis, Dengxin Dai, Luc Van Gool
2018	J	`jnl`	Unified Hypersphere Embedding for Speaker Recognition. CoRR Mahdi Hajibabaei, Dengxin Dai
2017	—	`conf`	Deep Domain Adaptation by Geodesic Distance Minimization. ICCV Workshops Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool
2017	J	`jnl`	Deep Domain Adaptation by Geodesic Distance Minimization. CoRR Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool
2017	J	`jnl`	Object Referring in Visual Scene with Spoken Language. CoRR Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
2017	A*	`conf`	PathTrack: Fast Trajectory Annotation with Path Supervision. ICCV Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool
2017	J	`jnl`	PathTrack: Fast Trajectory Annotation with Path Supervision. CoRR Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool
2017	J	`jnl`	Semantic Foggy Scene Understanding with Synthetic Data. CoRR Christos Sakaridis, Dengxin Dai, Luc Van Gool
2017	J	`jnl`	Speech-Based Visual Question Answering. CoRR Ted Zhang, Dengxin Dai, Tinne Tuytelaars, Marie-Francine Moens, Luc Van Gool
2017	—	`conf`	VarCity - the video: the struggles and triumphs of leveraging fundamental research results in a graphics video production. SIGGRAPH Talks Kenneth Vanhoey, Carlos Eduardo Porto de Oliveira, Hayko Riemenschneider, András Bódis-Szomorú, Santiago Manén, Danda Pani Paudel, Michael Gygli, Nikolay Kobyshev, Till Kroeger, Dengxin Dai, Luc Van Gool
2016	A*	`conf`	Fast Algorithms for Linear and Kernel SVM+. CVPR Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool
2016	—	`conf`	Fast Optical Flow Using Dense Inverse Search. ECCV (4) Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool
2016	J	`jnl`	Fast Optical Flow using Dense Inverse Search. CoRR Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool
2016	A	`conf`	Is image super-resolution helpful for other vision tasks? WACV Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool
2016	A	`conf`	Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure. WACV Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool
2016	A*	`conf`	Scale-Aware Alignment of Hierarchical Image Segmentation. CVPR Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool
2016	—	`—`	Towards Cost-Effective and Performance-Aware Vision Algorithms. Dengxin Dai
2016	J	`jnl`	Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering. CoRR Dengxin Dai, Luc Van Gool
2015	—	`conf`	Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. WACV Workshops Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool
2015	J	`jnl`	How Useful Is Image Super-resolution to Other Vision Tasks? CoRR Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool
2015	A*	`conf`	Joint vanishing point extraction and tracking. CVPR Till Kroeger, Dengxin Dai, Luc Van Gool
2015	J	`jnl`	Jointly Optimized Regressors for Image Super-resolution. Comput. Graph. Forum Dengxin Dai, Radu Timofte, Luc Van Gool
2015	A*	`conf`	Metric imitation by manifold transfer for efficient vision applications. CVPR Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool
2014	A*	`conf`	Latent Dictionary Learning for Sparse Representation Based Classification. CVPR Meng Yang, Dengxin Dai, Lilin Shen, Luc Van Gool
2014	A*	`conf`	The Synthesizability of Texture Examples. CVPR Dengxin Dai, Hayko Riemenschneider, Luc Van Gool
2013	A*	`conf`	Ensemble Projection for Semi-supervised Image Classification. ICCV Dengxin Dai, Luc Van Gool
2013	A*	`conf`	Example-Based Facade Texture Synthesis. ICCV Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool
2012	—	`conf`	Ensemble Partitioning for Unsupervised Image Categorization. ECCV (3) Dengxin Dai, Mukta Prasad, Christian Leistner, Luc Van Gool
2012	—	`conf`	Learning Domain Knowledge for Façade Labelling. ECCV (1) Dengxin Dai, Mukta Prasad, Gerhard Schmitt, Luc Van Gool
2012	J	`jnl`	SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. IEEE Trans. Image Process. Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia
2011	J	`jnl`	Multilevel Local Pattern Histogram for SAR Image Classification. IEEE Geosci. Remote. Sens. Lett. Dengxin Dai, Wen Yang, Hong Sun
2011	J	`jnl`	Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation. IEEE Geosci. Remote. Sens. Lett. Dengxin Dai, Wen Yang
2010	A*	`conf`	Discovering scene categories by information projection and cluster sampling. CVPR Dengxin Dai, Tianfu Wu, Song Chun Zhu
2010	B	`conf`	Fast semantic scene segmentation with conditional random field. ICIP Wen Yang, Dengxin Dai, Bill Triggs, Gui-Song Xia, Chu He
2010	J	`jnl`	Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests. EURASIP J. Adv. Signal Process. Tongyuan Zou, Wen Yang, Dengxin Dai, Hong Sun
2010	B	`conf`	Three-layer Spatial Sparse Coding for Image Classification. ICPR Dengxin Dai, Wen Yang, Tianfu Wu