Dengxin Dai

ORCID

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 189

Top Venues

Publications

Lukas Hoyer, Dengxin Dai, Luc Van Gool
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 46 (1) (2024)
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
Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. CoRR (2024)
Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. ICRA (2024)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. IEEE Trans. Pattern Anal. Mach. Intell. 46 (5) (2024)
Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. WACV (2024)
Yan Xu, Chaoda Zheng, Ying Xue, Zhen Li, Shuguang Cui, Dengxin Dai
Benchmarking the Robustness of LiDAR Semantic Segmentation Models. Int. J. Comput. Vis. 132 (7) (2024)
Ozan Unal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
Discwise Active Learning for LiDAR Semantic Segmentation. IEEE Robotics Autom. Lett. 8 (11) (2023)
Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
Federated Incremental Semantic Segmentation. CoRR (2023)
Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
Revisiting Consistency Regularization for Semi-Supervised Learning. Int. J. Comput. Vis. 131 (3) (2023)
Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CoRR (2023)
Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
Towards Robust Object Detection Invariant to Real-World Domain Shifts. ICLR (2023)
Lukas Hoyer, Dengxin Dai, Qin Wang, Yuhua Chen, Luc Van Gool
Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Int. J. Comput. Vis. 131 (8) (2023)
Andrea Boscolo Camiletto, Alfredo Bochicchio, Alexander Liniger, Dengxin Dai, Abel Gawel
U-BEV: Height-aware Bird's-Eye-View Segmentation and Neural Map-based Relocalization. CoRR (2023)
Lei Li, Alexander Liniger, Mario Millhäusler, Vagia Tsiminaki, Yuanyou Li, Dengxin Dai
Object-centric Cross-modal Feature Distillation for Event-based Object Detection. CoRR (2023)
Zhi Li, Shaoshuai Shi, Bernt Schiele, Dengxin Dai
Test-time Domain Adaptation for Monocular Depth Estimation. ICRA (2023)
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Ke Li, Dengxin Dai
LiDAR Meta Depth Completion. IROS (2023)
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. CoRR (2023)
Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool
2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation. CoRR (2023)
Wolfgang Boettcher, Lukas Hoyer, Ozan Unal, Dengxin Dai
LiDAR Meta Depth Completion. CoRR (2023)
Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Gui-Song Xia
FreePoint: Unsupervised Point Cloud Instance Segmentation. CoRR (2023)
Ozan Ünal, Dengxin Dai, Ali Tamer Unal, Luc Van Gool
Discwise Active Learning for LiDAR Semantic Segmentation. CoRR (2023)
Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. CoRR (2023)
Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. CVPR (2023)
Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. IEEE Trans. Pattern Anal. Mach. Intell. 45 (1) (2023)
Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CVPR (2023)
Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele
Self-supervised Pre-training with Masked Shape Prediction for 3D Scene Understanding. CoRR (2023)
Jiahua Dong, Yang Cong, Gan Sun, Yulun Zhang, Bernt Schiele, Dengxin Dai
No One Left Behind: Real-World Federated Class-Incremental Learning. CoRR (2023)
Xu Yan, Chaoda Zheng, Zhen Li, Shuguang Cui, Dengxin Dai
Benchmarking the Robustness of LiDAR Semantic Segmentation Models. CoRR (2023)
Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai
Federated Incremental Semantic Segmentation. CVPR (2023)
Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele
Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. CVPR (2023)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
MTR++: Multi-Agent Motion Prediction with Symmetric Scene Modeling and Guided Intention Querying. CoRR (2023)
Tim Brödermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool
HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. ITSC (2023)
Lukas Hoyer, Dengxin Dai, Luc Van Gool
Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. CoRR (2023)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. ICRA (2023)
Ke Li, Dengxin Dai, Luc Van Gool
Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. WACV (2023)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. CoRR (2023)
Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele
Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning. CVPR (2023)
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection. Int. J. Autom. Comput. 20 (1) (2023)
Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool
EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. ICCV (2023)
Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool
Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. CVPR (2023)
Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele
SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. ICCV (2023)
Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CVPR (2022)
Lukas Hoyer, Dengxin Dai, Luc Van Gool
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CVPR (2022)
Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai
Continual Test-Time Domain Adaptation. CoRR (2022)
Lukas Hoyer, Dengxin Dai, Luc Van Gool
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. ECCV (30) (2022)
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
End-To-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. CoRR (2022)
Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CVPR (2022)
Clemens Linnhoff, Dominik Scheuble, Mario Bijelic, Lukas Elster, Philipp Rosenberger, Werner Ritter, Dengxin Dai, Hermann Winner
Simulating Road Spray Effects in Automotive Lidar Sensor Models. CoRR (2022)
Vaishakh Patil, Alexander Liniger, Dengxin Dai, Luc Van Gool
Improving Depth Estimation Using Map-Based Depth Priors. IEEE Robotics Autom. Lett. 7 (2) (2022)
Rui Gong, Qin Wang, Dengxin Dai, Luc Van Gool
One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. CoRR (2022)
Ozan Unal, Dengxin Dai, Luc Van Gool
Scribble-Supervised LiDAR Semantic Segmentation. CVPR (2022)
Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool
MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation. CoRR (2022)
Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
LiDAR Snowfall Simulation for Robust 3D Object Detection. CVPR (2022)
Yu-Huan Wu, Da Zhang, Le Zhang, Xin Zhan, Dengxin Dai, Yun Liu, Ming-Ming Cheng
Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. CoRR (2022)
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CoRR (2022)
Ge-Peng Ji, Deng-Ping Fan, Yu-Cheng Chou, Dengxin Dai, Alexander Liniger, Luc Van Gool
Deep Gradient Learning for Efficient Camouflaged Object Detection. CoRR (2022)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Motion Transformer with Global Intention Localization and Local Movement Refinement. NeurIPS (2022)
Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
Class-Agnostic Object Counting Robust to Intraclass Diversity. ECCV (33) (2022)
Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall
Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. IEEE Robotics Autom. Lett. 7 (2) (2022)
Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai
Decoupling Zero-Shot Semantic Segmentation. CVPR (2022)
Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai
Continual Test-Time Domain Adaptation. CVPR (2022)
Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool
LiDAR Snowfall Simulation for Robust 3D Object Detection. CoRR (2022)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
Motion Transformer with Global Intention Localization and Local Movement Refinement. CoRR (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CoRR (2022)
Niclas Vödisch, Ozan Unal, Ke Li, Luc Van Gool, Dengxin Dai
End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. IEEE Robotics Autom. Lett. 7 (2) (2022)
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
Sound and Visual Representation Learning with Multiple Pretraining Tasks. CVPR (2022)
Ozan Unal, Dengxin Dai, Luc Van Gool
Scribble-Supervised LiDAR Semantic Segmentation. CoRR (2022)
Qi Fan, Mattia Segù, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. CoRR (2022)
Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele
MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. CoRR (2022)
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. CoRR (2022)
Christos Sakaridis, Dengxin Dai, Luc Van Gool
Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 44 (6) (2022)
Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool
TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. ECCV (34) (2022)
Jan-Nico Zaech, Alexander Liniger, Dengxin Dai, Martin Danelljan, Luc Van Gool
Learnable Online Graph Representations for 3D Multi-Object Tracking. IEEE Robotics Autom. Lett. 7 (2) (2022)
Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
Bi-level Alignment for Cross-Domain Crowd Counting. CVPR (2022)
Simon Vandenhende, Stamatios Georgoulis, Wouter Van Gansbeke, Marc Proesmans, Dengxin Dai, Luc Van Gool
Multi-Task Learning for Dense Prediction Tasks: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (7) (2022)
Ke Li, Dengxin Dai, Luc Van Gool
Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. WACV (2022)
Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele
Bi-level Alignment for Cross-Domain Crowd Counting. CoRR (2022)
Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool
Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. CVPR (2022)
Tim Broedermann, Christos Sakaridis, Dengxin Dai, Luc Van Gool
HRFuser: A Multi-resolution Sensor Fusion Architecture for 2D Object Detection. CoRR (2022)
Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool
Adiabatic Quantum Computing for Multi Object Tracking. CVPR (2022)
Lukas Hoyer, Dengxin Dai, Luc Van Gool
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. CoRR (2022)
Rui Gong, Wen Li, Yuhua Chen, Dengxin Dai, Luc Van Gool
DLOW: Domain Flow and Applications. Int. J. Comput. Vis. 129 (10) (2021)
Dengxin Dai, Arun Balajee Vasudevan, Jiri Matas, Luc Van Gool
Binaural SoundNet: Predicting Semantics, Depth and Motion with Binaural Sounds. CoRR (2021)
Ozan Unal, Luc Van Gool, Dengxin Dai
Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection. WACV (2021)
Yue Fan, Dengxin Dai, Bernt Schiele
CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. CoRR (2021)
Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai
Self-Aligned Video Deraining With Transmission-Depth Consistency. CVPR (2021)
Lukas Hoyer, Dengxin Dai, Luc Van Gool
DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. CoRR (2021)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. CoRR (2021)
Christos Sakaridis, Dengxin Dai, Luc Van Gool
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. ICCV (2021)
Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. ICCV (2021)
Yuhua Chen, Haoran Wang, Wen Li, Christos Sakaridis, Dengxin Dai, Luc Van Gool
Scale-Aware Domain Adaptive Faster R-CNN. Int. J. Comput. Vis. 129 (7) (2021)
Christos Sakaridis, Dengxin Dai, Luc Van Gool
ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. CoRR (2021)
Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. ICCV (2021)
Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool
End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV (2021)
Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool
Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. CoRR (2021)
Anton Obukhov, Maxim V. Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool
Spectral Tensor Train Parameterization of Deep Learning Layers. AISTATS (2021)
Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool
Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. CVPR (2021)
Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool
Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. Int. J. Comput. Vis. 129 (1) (2021)
Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin
Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. CoRR (2021)
Qin Wang, Dengxin Dai, Lukas Hoyer, Olga Fink, Luc Van Gool
Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. CoRR (2021)

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Publication Activity (10 Years)

Top Topics

Top Venues

Dengxin Dai