Dai, Dengxin

67 publications

WACV 2024 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation Ozan Unal, Dengxin Dai, Lukas Hoyer, Yigit Baran Can, Luc Van Gool

CVPR 2024 FreePoint: Unsupervised Point Cloud Instance Segmentation Zhikai Zhang, Jian Ding, Li Jiang, Dengxin Dai, Guisong Xia

ECCV 2024 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-Taixé, Daniel Cremers, Marc Pollefeys, Luc Van Gool

CVPR 2023 Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations Rui Gong, Qin Wang, Martin Danelljan, Dengxin Dai, Luc Van Gool

ICCV 2023 EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool

CVPR 2023 Federated Incremental Semantic Segmentation Jiahua Dong, Duzhen Zhang, Yang Cong, Wei Cong, Henghui Ding, Dengxin Dai

CVPR 2023 HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation Jian Ding, Nan Xue, Gui-Song Xia, Bernt Schiele, Dengxin Dai

WACV 2023 Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging Ke Li, Dengxin Dai, Luc Van Gool

CVPR 2023 MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation Lukas Hoyer, Dengxin Dai, Haoran Wang, Luc Van Gool

ICCV 2023 SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele

CVPR 2023 Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding Li Jiang, Zetong Yang, Shaoshuai Shi, Vladislav Golyanik, Dengxin Dai, Bernt Schiele

ICLR 2023 Towards Robust Object Detection Invariant to Real-World Domain Shifts Qi Fan, Mattia Segu, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai

CVPR 2023 Weakly-Supervised Domain Adaptive Semantic Segmentation with Prototypical Contrastive Learning Anurag Das, Yongqin Xian, Dengxin Dai, Bernt Schiele

CVPR 2022 Adiabatic Quantum Computing for Multi Object Tracking Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool

CVPR 2022 Bi-Level Alignment for Cross-Domain Crowd Counting Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele

CVPR 2022 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

ECCV 2022 Class-Agnostic Object Counting Robust to Intraclass Diversity Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele

CVPR 2022 CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele

CVPR 2022 Continual Test-Time Domain Adaptation Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai

CVPR 2022 DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation Lukas Hoyer, Dengxin Dai, Luc Van Gool

CVPR 2022 Decoupling Zero-Shot Semantic Segmentation Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai

ECCV 2022 HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation Lukas Hoyer, Dengxin Dai, Luc Van Gool

WACV 2022 Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task Ke Li, Dengxin Dai, Luc Van Gool

CVPR 2022 LiDAR Snowfall Simulation for Robust 3D Object Detection Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool

NeurIPS 2022 Motion Transformer with Global Intention Localization and Local Movement Refinement Shaoshuai Shi, Li Jiang, Dengxin Dai, Bernt Schiele

CVPR 2022 Pix2NeRF: Unsupervised Conditional P-GAN for Single Image to Neural Radiance Fields Translation Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool

CVPR 2022 Scribble-Supervised LiDAR Semantic Segmentation Ozan Unal, Dengxin Dai, Luc Van Gool

CVPR 2022 Sound and Visual Representation Learning with Multiple Pretraining Tasks Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

ECCV 2022 TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation Rui Gong, Martin Danelljan, Dengxin Dai, Danda Pani Paudel, Ajad Chhatkuli, Fisher Yu, Luc Van Gool

AISTATS 2021 Spectral Tensor Train Parameterization of Deep Learning Layers Anton Obukhov, Maxim Rakhuba, Alexander Liniger, Zhiwu Huang, Stamatios Georgoulis, Dengxin Dai, Luc Van Gool

ICCV 2021 ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding Christos Sakaridis, Dengxin Dai, Luc Van Gool

AAAI 2021 Analogical Image Translation for Fog Generation Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Danda Pani Paudel, Luc Van Gool

CVPR 2021 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

ICCV 2021 Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink

ICCV 2021 End-to-End Urban Driving by Imitating a Reinforcement Learning Coach Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool

ICCV 2021 Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool

WACV 2021 Improving Point Cloud Semantic Segmentation by Learning 3D Object Detection Ozan Unal, Luc Van Gool, Dengxin Dai

CVPR 2021 Self-Aligned Video Deraining with Transmission-Depth Consistency Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai

ICCV 2021 Task Switching Network for Multi-Task Learning Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popović, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool

CVPR 2021 Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Koring, Suman Saha, Luc Van Gool

ICCV 2021 mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool

ECCV 2020 Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks Wending Yan, Robby T. Tan, Dengxin Dai

ECCV 2020 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

CVPRW 2020 Self-Supervised Object Motion and Depth Estimation from Video Qi Dai, Vaishakh Patil, Simon Hecker, Dengxin Dai, Luc Van Gool, Konrad Schindler

ECCV 2020 Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool

ICML 2020 T-Basis: A Compact Representation for Neural Networks Anton Obukhov, Maxim Rakhuba, Stamatios Georgoulis, Menelaos Kanakis, Dengxin Dai, Luc Van Gool

ECCV 2020 Weakly Supervised 3D Object Detection from LiDAR Point Cloud Qinghao Meng, Wenguan Wang, Tianfei Zhou, Jianbing Shen, Luc Van Gool, Dengxin Dai

ECCV 2018 End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners Simon Hecker, Dengxin Dai, Luc Van Gool

ECCV 2018 Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding Christos Sakaridis, Dengxin Dai, Simon Hecker, Luc Van Gool

WACV 2018 Object Referring in Visual Scene with Spoken Language Arun Balajee Vasudevan, Dengxin Dai

ICCVW 2017 Deep Domain Adaptation by Geodesic Distance Minimization Yifei Wang, Wen Li, Dengxin Dai, Luc Van Gool

ICCV 2017 PathTrack: Fast Trajectory Annotation with Path Supervision Santiago Manen, Michael Gygli, Dengxin Dai, Luc Van Gool

CVPR 2016 Fast Algorithms for Linear and Kernel SVM+ Wen Li, Dengxin Dai, Mingkui Tan, Dong Xu, Luc Van Gool

ECCV 2016 Fast Optical Flow Using Dense Inverse Search Till Kroeger, Radu Timofte, Dengxin Dai, Luc Van Gool

WACV 2016 Is Image Super-Resolution Helpful for Other Vision Tasks? Dengxin Dai, Yujian Wang, Yuhua Chen, Luc Van Gool

WACV 2016 Leveraging Single for Multi-Target Tracking Using a Novel Trajectory Overlap Affinity Measure Santiago Manen, Radu Timofte, Dengxin Dai, Luc Van Gool

CVPR 2016 Scale-Aware Alignment of Hierarchical Image Segmentation Yuhua Chen, Dengxin Dai, Jordi Pont-Tuset, Luc Van Gool

WACVW 2015 Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos Till Kroeger, Dengxin Dai, Radu Timofte, Luc Van Gool

CVPR 2015 Joint Vanishing Point Extraction and Tracking Till Kroeger, Dengxin Dai, Luc Van Gool

CVPR 2015 Metric Imitation by Manifold Transfer for Efficient Vision Applications Dengxin Dai, Till Kroeger, Radu Timofte, Luc Van Gool

CVPR 2014 Latent Dictionary Learning for Sparse Representation Based Classification Meng Yang, Dengxin Dai, Lilin Shen, Luc Van Gool

CVPR 2014 The Synthesizability of Texture Examples Dengxin Dai, Hayko Riemenschneider, Luc Van Gool

ICCV 2013 Ensemble Projection for Semi-Supervised Image Classification Dengxin Dai, Luc Van Gool

ICCV 2013 Example-Based Facade Texture Synthesis Dengxin Dai, Hayko Riemenschneider, Gerhard Schmitt, Luc Van Gool

ECCV 2012 Ensemble Partitioning for Unsupervised Image Categorization Dengxin Dai, Mukta Prasad, Christian Leistner, Luc Van Gool

ECCV 2012 Learning Domain Knowledge for Façade Labelling Dengxin Dai, Mukta Prasad, Gerhard Schmitt, Luc Van Gool

CVPR 2010 Discovering Scene Categories by Information Projection and Cluster Sampling Dengxin Dai, Tianfu Wu, Song Chun Zhu