Discovering scene categories by information projection and cluster sampling. - Dengxin Dai; Tianfu Wu 001; Song Chun Zhu (CVPR, 2010)

Fast semantic scene segmentation with conditional random field. - Wen Yang 001; Dengxin Dai; Bill Triggs; Gui-Song Xia; Chu He (ICIP, 2010)

Three-layer Spatial Sparse Coding for Image Classification. - Dengxin Dai; Wen Yang 001; Tianfu Wu 001 (ICPR, 2010)

Polarimetric SAR Image Classification Using Multifeatures Combination and Extremely Randomized Clustering Forests. - Tongyuan Zou; Wen Yang 001; Dengxin Dai; Hong Sun (EURASIP J. Adv. Signal Process., 2010)

Satellite Image Classification via Two-Layer Sparse Coding With Biased Image Representation. - Dengxin Dai; Wen Yang 001 (IEEE Geosci. Remote. Sens. Lett., 2011)

Multilevel Local Pattern Histogram for SAR Image Classification. - Dengxin Dai; Wen Yang 001; Hong Sun (IEEE Geosci. Remote. Sens. Lett., 2011)

Ensemble Partitioning for Unsupervised Image Categorization. - Dengxin Dai; Mukta Prasad; Christian Leistner; Luc Van Gool (ECCV (3), 2012)

Learning Domain Knowledge for Façade Labelling. - Dengxin Dai; Mukta Prasad; Gerhard Schmitt; Luc Van Gool (ECCV (1), 2012)

SAR-Based Terrain Classification Using Weakly Supervised Hierarchical Markov Aspect Models. - Wen Yang 001; Dengxin Dai; Bill Triggs; Gui-Song Xia (IEEE Trans. Image Process., 2012)

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 (ICCV, 2013)

The Synthesizability of Texture Examples. - Dengxin Dai; Hayko Riemenschneider; Luc Van Gool (CVPR, 2014)

Latent Dictionary Learning for Sparse Representation Based Classification. - Meng Yang 001; Dengxin Dai; Lilin Shen; Luc Van Gool (CVPR, 2014)

Metric imitation by manifold transfer for efficient vision applications. - Dengxin Dai; Till Kroeger; Radu Timofte; Luc Van Gool (CVPR, 2015)

Joint vanishing point extraction and tracking. - Till Kroeger; Dengxin Dai; Luc Van Gool (CVPR, 2015)

Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos. - Till Kroeger; Dengxin Dai; Radu Timofte; Luc Van Gool (WACV Workshops, 2015)

Jointly Optimized Regressors for Image Super-resolution. - Dengxin Dai; Radu Timofte; Luc Van Gool (Comput. Graph. Forum, 2015)

How Useful Is Image Super-resolution to Other Vision Tasks? - Dengxin Dai; Yujian Wang; Yuhua Chen; Luc Van Gool (CoRR, 2015)

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

Fast Algorithms for Linear and Kernel SVM+. - Wen Li 001; Dengxin Dai; Mingkui Tan; Dong Xu 001; Luc Van Gool (CVPR, 2016)

Fast Optical Flow Using Dense Inverse Search. - Till Kroeger; Radu Timofte; Dengxin Dai; Luc Van Gool (ECCV (4), 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 (WACV, 2016)

Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering. - Dengxin Dai; Luc Van Gool (CoRR, 2016)

Towards Cost-Effective and Performance-Aware Vision Algorithms. - Dengxin Dai (2016)

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

Deep Domain Adaptation by Geodesic Distance Minimization. - Yifei Wang; Wen Li 001; Dengxin Dai; Luc Van Gool (ICCV Workshops, 2017)

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; András Bódis-Szomorú; Santiago Manén; Danda Pani Paudel; Michael Gygli; Nikolay Kobyshev; Till Kroeger; Dengxin Dai; Luc Van Gool (SIGGRAPH Talks, 2017)

Speech-Based Visual Question Answering. - Ted Zhang; Dengxin Dai; Tinne Tuytelaars; Marie-Francine Moens; Luc Van Gool (CoRR, 2017)

Object Referring in Visual Scene with Spoken Language. - Arun Balajee Vasudevan; Dengxin Dai; Luc Van Gool (CoRR, 2017)

Domain Adaptive Faster R-CNN for Object Detection in the Wild. - Yuhua Chen; Wen Li 001; Christos Sakaridis; Dengxin Dai; Luc Van Gool (CVPR, 2018)

Object Referring in Videos With Language and Human Gaze. - Arun Balajee Vasudevan; Dengxin Dai; Luc Van Gool (CVPR, 2018)

End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners. - Simon Hecker; Dengxin Dai; Luc Van Gool (ECCV (7), 2018)

Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding. - Christos Sakaridis; Dengxin Dai; Simon Hecker; Luc Van Gool (ECCV (13), 2018)

Delving into the Synthesizability of Dynamic Texture Samples. - Feng Yang 015; Gui-Song Xia; Dengxin Dai; Liangpei Zhang 001 (ICPR, 2018)

Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime. - Dengxin Dai; Luc Van Gool (ITSC, 2018)

Failure Prediction for Autonomous Driving. - Simon Hecker; Dengxin Dai; Luc Van Gool (Intelligent Vehicles Symposium, 2018)

Object Referring in Visual Scene with Spoken Language. - Arun Balajee Vasudevan; Dengxin Dai (WACV, 2018)

Learning Driving Models with a Surround-View Camera System and a Route Planner. - Simon Hecker; Dengxin Dai; Luc Van Gool (CoRR, 2018)

Ensemble Manifold Segmentation for Model Distillation and Semi-supervised Learning. - Dengxin Dai; Wen Li 001; Till Kroeger; Luc Van Gool (CoRR, 2018)

Unified Hypersphere Embedding for Speaker Recognition. - Mahdi Hajibabaei; Dengxin Dai (CoRR, 2018)

Semantic Foggy Scene Understanding with Synthetic Data. - Christos Sakaridis; Dengxin Dai; Luc Van Gool (Int. J. Comput. Vis., 2018)

Domain Generalization and Adaptation Using Low Rank Exemplar SVMs. - Wen Li 001; Zheng Xu 002; Dong Xu 001; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. - Christos Sakaridis; Dengxin Dai; Luc Van Gool (ICCV, 2019)

Semantic Understanding of Foggy Scenes with Purely Synthetic Data. - Martin Hahner; Dengxin Dai; Christos Sakaridis; Jan-Nico Zaech; Luc Van Gool (ITSC, 2019)

Learning a Curve Guardian for Motorcycles. - Simon Hecker; Alexander Liniger; Henrik Maurenbrecher; Dengxin Dai; Luc Van Gool (ITSC, 2019)

Texture Underfitting for Domain Adaptation. - Jan-Nico Zaech; Dengxin Dai; Martin Hahner; Luc Van Gool (ITSC, 2019)

Real-time 3D Traffic Cone Detection for Autonomous Driving. - Ankit Dhall; Dengxin Dai; Luc Van Gool (IV, 2019)

Semantic Nighttime Image Segmentation with Synthetic Stylized Data, Gradual Adaptation and Uncertainty-Aware Evaluation. - Christos Sakaridis; Dengxin Dai; Luc Van Gool (CoRR, 2019)

Learning Accurate, Comfortable and Human-like Driving. - Simon Hecker; Dengxin Dai; Luc Van Gool (CoRR, 2019)

Talk2Nav: Long-Range Vision-and-Language Navigation in Cities. - Arun Balajee Vasudevan; Dengxin Dai; Luc Van Gool (CoRR, 2019)

Learning the Synthesizability of Dynamic Texture Samples. - Feng Yang 015; Gui-Song Xia; Dengxin Dai; Liangpei Zhang 001 (IEEE Trans. Image Process., 2019)

Self-supervised Object Motion and Depth Estimation from Video. - Qi Dai; Vaishakh Patil; Simon Hecker; Dengxin Dai; Luc Van Gool; Konrad Schindler (CVPR Workshops, 2020)

Weakly Supervised 3D Object Detection from Lidar Point Cloud. - Qinghao Meng; Wenguan Wang; Tianfei Zhou; Jianbing Shen; Luc Van Gool; Dengxin Dai (ECCV (13), 2020)

Off-Policy Reinforcement Learning for Efficient and Effective GAN Architecture Search. - Yuan Tian 014; Qin Wang 013; Zhiwu Huang; Wen Li 001; Dengxin Dai; Minghao Yang; Jun Wang 012; Olga Fink (ECCV (7), 2020)

Semantic Object Prediction and Spatial Sound Super-Resolution with Binaural Sounds. - Arun Balajee Vasudevan; Dengxin Dai; Luc Van Gool (ECCV (4), 2020)

Nighttime Defogging Using High-Low Frequency Decomposition and Grayscale-Color Networks. - Wending Yan; Robby T. Tan; Dengxin Dai (ECCV (12), 2020)

T-Basis: a Compact Representation for Neural Networks. - Anton Obukhov; Maxim V. Rakhuba; Stamatios Georgoulis; Menelaos Kanakis; Dengxin Dai; Luc Van Gool (ICML, 2020)

Learning Accurate and Human-Like Driving using Semantic Maps and Attention. - Simon Hecker; Dengxin Dai; Alexander Liniger; Martin Hahner; Luc Van Gool (IROS, 2020)

Depth Estimation from Monocular Images and Sparse Radar Data. - Juan-Ting Lin; Dengxin Dai; Luc Van Gool (IROS, 2020)

Action Sequence Predictions of Vehicles in Urban Environments using Map and Social Context. - Jan-Nico Zaech; Dengxin Dai; Alexander Liniger; Luc Van Gool (IROS, 2020)

Matching Neuromorphic Events and Color Images via Adversarial Learning. - Fang Xu; Shijie Lin; Wen Yang 001; Lei Yu 006; Dengxin Dai; Gui-Song Xia (CoRR, 2020)

Quantifying Data Augmentation for LiDAR based 3D Object Detection. - Martin Hahner; Dengxin Dai; Alexander Liniger; Luc Van Gool (CoRR, 2020)

Revisiting Multi-Task Learning in the Deep Learning Era. - Simon Vandenhende; Stamatios Georgoulis; Marc Proesmans; Dengxin Dai; Luc Van Gool (CoRR, 2020)

Analogical Image Translation for Fog Generation. - Rui Gong; Dengxin Dai; Yuhua Chen; Wen Li 001; Luc Van Gool (CoRR, 2020)

Learning Accurate and Human-Like Driving using Semantic Maps and Attention. - Simon Hecker; Dengxin Dai; Alexander Liniger; Luc Van Gool (CoRR, 2020)

Improving Point Cloud Semantic Segmentation by Learning 3D Object Proposal Generation. - Ozan Unal; Luc Van Gool; Dengxin Dai (CoRR, 2020)

Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding. - Dengxin Dai; Christos Sakaridis; Simon Hecker; Luc Van Gool (Int. J. Comput. Vis., 2020)

Don't Forget The Past: Recurrent Depth Estimation from Monocular Video. - Vaishakh Patil; Wouter Van Gansbeke; Dengxin Dai; Luc Van Gool (IEEE Robotics Autom. Lett., 2020)

Analogical Image Translation for Fog Generation. - Rui Gong; Dengxin Dai; Yuhua Chen; Wen Li 001; Danda Pani Paudel; Luc Van Gool (AAAI, 2021)

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

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. - Rui Gong; Yuhua Chen; Danda Pani Paudel; Yawei Li 001; Ajad Chhatkuli; Wen Li 001; 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 Köring; Suman Saha 001; Luc Van Gool (CVPR, 2021)

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

Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Qin Wang 013; Dengxin Dai; Lukas Hoyer; Luc Van Gool; Olga Fink (ICCV, 2021)

mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. - Rui Gong; Dengxin Dai; Yuhua Chen; Wen Li 001; 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 (ICCV, 2021)

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

Task Switching Network for Multi-task Learning. - Guolei Sun; Thomas Probst; Danda Pani Paudel; Nikola Popovic 001; Menelaos Kanakis; Jagruti Patel; Dengxin Dai; Luc Van Gool (ICCV, 2021)

End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. - Zhejun Zhang; Alexander Liniger; Dengxin Dai; Fisher Yu 001; Luc Van Gool (ICCV, 2021)

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

Hyperspectral Image Super-Resolution with Spectral Mixup and Heterogeneous Datasets. - Ke Li 021; Dengxin Dai; Ender Konukoglu; Luc Van Gool (CoRR, 2021)

TADA: Taxonomy Adaptive Domain Adaptation. - Rui Gong; Martin Danelljan; Dengxin Dai; Wenguan Wang; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu 001; Luc Van Gool (CoRR, 2021)

CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. - Yue Fan; Dengxin Dai; Bernt Schiele (CoRR, 2021)

Scale-Aware Domain Adaptive Faster R-CNN. - Yuhua Chen; Haoran Wang; Wen Li 001; Christos Sakaridis; Dengxin Dai; Luc Van Gool (Int. J. Comput. Vis., 2021)

Guest Editorial: Special Issue on "Computer Vision for All Seasons: Adverse Weather and Lighting Conditions". - Dengxin Dai; Robby T. Tan; Vishal Patel 001; Jiri Matas; Bernt Schiele; Luc Van Gool (Int. J. Comput. Vis., 2021)

DLOW: Domain Flow and Applications. - Rui Gong; Wen Li 001; Yuhua Chen; Dengxin Dai; Luc Van Gool (Int. J. Comput. Vis., 2021)

Talk2Nav: Long-Range Vision-and-Language Navigation with Dual Attention and Spatial Memory. - Arun Balajee Vasudevan; Dengxin Dai; Luc Van Gool (Int. J. Comput. Vis., 2021)

Continual Test-Time Domain Adaptation. - Qin Wang 013; Olga Fink; Luc Van Gool; Dengxin Dai (CVPR, 2022)

Pix2NeRF: Unsupervised Conditional $ pi$-GAN for Single Image to Neural Radiance Fields Translation. - Shengqu Cai; Anton Obukhov; Dengxin Dai; Luc Van Gool (CVPR, 2022)

Decoupling Zero-Shot Semantic Segmentation. - Jian Ding 001; Nan Xue 001; Gui-Song Xia; Dengxin Dai (CVPR, 2022)

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

Bi-level Alignment for Cross-Domain Crowd Counting. - Shenjian Gong; Shanshan Zhang 001; Jian Yang 003; Dengxin Dai; Bernt Schiele (CVPR, 2022)

LiDAR Snowfall Simulation for Robust 3D Object Detection. - Martin Hahner; Christos Sakaridis; Mario Bijelic; Felix Heide; Fisher Yu 001; Dengxin Dai; Luc Van Gool (CVPR, 2022)

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

Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. - Xianzheng Ma; Zhixiang Wang 001; Yacheng Zhan; Yinqiang Zheng; Zheng Wang 007; Dengxin Dai; Chia-Wen Lin (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 (CVPR, 2022)

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

TACS: Taxonomy Adaptive Cross-Domain Semantic Segmentation. - Rui Gong; Martin Danelljan; Dengxin Dai; Danda Pani Paudel; Ajad Chhatkuli; Fisher Yu 001; Luc Van Gool (ECCV (34), 2022)

Class-Agnostic Object Counting Robust to Intraclass Diversity. - Shenjian Gong; Shanshan Zhang 001; Jian Yang 003; Dengxin Dai; Bernt Schiele (ECCV (33), 2022)

HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation. - Lukas Hoyer; Dengxin Dai; Luc Van Gool (ECCV (30), 2022)

Motion Transformer with Global Intention Localization and Local Movement Refinement. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (NeurIPS, 2022)

Hyperspectral Image Super-Resolution with RGB Image Super-Resolution as an Auxiliary Task. - Ke Li 021; Dengxin Dai; Luc Van Gool (WACV, 2022)

Pix2NeRF: Unsupervised Conditional π-GAN for Single Image to Neural Radiance Fields Translation. - Shengqu Cai; Anton Obukhov; Dengxin Dai; Luc Van Gool (CoRR, 2022)

Ret3D: Rethinking Object Relations for Efficient 3D Object Detection in Driving Scenes. - Yu-Huan Wu; Da Zhang; Le Zhang 001; Xin Zhan; Dengxin Dai; Yun Liu 011; Ming-Ming Cheng (CoRR, 2022)

MTR-A: 1st Place Solution for 2022 Waymo Open Dataset Challenge - Motion Prediction. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (CoRR, 2022)

Normalization Perturbation: A Simple Domain Generalization Method for Real-World Domain Shifts. - Qi Fan; Mattia Segù; Yu-Wing Tai; Fisher Yu 001; Chi-Keung Tang; Bernt Schiele; Dengxin Dai (CoRR, 2022)

One-Shot Domain Adaptive and Generalizable Semantic Segmentation with Class-Aware Cross-Domain Transformers. - Rui Gong; Qin Wang 013; Dengxin Dai; Luc Van Gool (CoRR, 2022)

Simulating Road Spray Effects in Automotive Lidar Sensor Models. - Clemens Linnhoff; Dominik Scheuble; Mario Bijelic; Lukas Elster; Philipp Rosenberger; Werner Ritter; Dengxin Dai; Hermann Winner (CoRR, 2022)

Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation. - Christos Sakaridis; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-Task Learning for Dense Prediction Tasks: A Survey. - Simon Vandenhende; Stamatios Georgoulis; Wouter Van Gansbeke; Marc Proesmans; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2022)

Multi-Scale Interaction for Real-Time LiDAR Data Segmentation on an Embedded Platform. - Shijie Li 006; Xieyuanli Chen; Yun Liu 011; Dengxin Dai; Cyrill Stachniss; Juergen Gall (IEEE Robotics Autom. Lett., 2022)

Improving Depth Estimation Using Map-Based Depth Priors. - Vaishakh Patil; Alexander Liniger; Dengxin Dai; Luc Van Gool (IEEE Robotics Autom. Lett., 2022)

End-to-End Optimization of LiDAR Beam Configuration for 3D Object Detection and Localization. - Niclas Vödisch; Ozan Unal; Ke Li 021; Luc Van Gool; Dengxin Dai (IEEE Robotics Autom. Lett., 2022)

Learnable Online Graph Representations for 3D Multi-Object Tracking. - Jan-Nico Zaech; Alexander Liniger; Dengxin Dai; Martin Danelljan; Luc Van Gool (IEEE Robotics Autom. Lett., 2022)

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

HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation. - Jian Ding 001; Nan Xue 001; Gui-Song Xia; Bernt Schiele; Dengxin Dai (CVPR, 2023)

Federated Incremental Semantic Segmentation. - Jiahua Dong 001; Duzhen Zhang; Yang Cong; Wei Cong; Henghui Ding; Dengxin Dai (CVPR, 2023)

Continuous Pseudo-Label Rectified Domain Adaptive Semantic Segmentation with Implicit Neural Representations. - Rui Gong; Qin Wang 013; Martin Danelljan; 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 (CVPR, 2023)

Self-Supervised Pre-Training with Masked Shape Prediction for 3D Scene Understanding. - Li Jiang 009; Zetong Yang; Shaoshuai Shi; Vladislav Golyanik; Dengxin Dai; Bernt Schiele (CVPR, 2023)

EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. - Suman Saha 001; Lukas Hoyer; Anton Obukhov; Dengxin Dai; 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 (ICCV, 2023)

Towards Robust Object Detection Invariant to Real-World Domain Shifts. - Qi Fan; Mattia Segù; Yu-Wing Tai; Fisher Yu 001; Chi-Keung Tang; Bernt Schiele; Dengxin Dai (ICLR, 2023)

Test-time Domain Adaptation for Monocular Depth Estimation. - Zhi Li 055; Shaoshuai Shi; Bernt Schiele; Dengxin Dai (ICRA, 2023)

TrafficBots: Towards World Models for Autonomous Driving Simulation and Motion Prediction. - Zhejun Zhang; Alexander Liniger; Dengxin Dai; Fisher Yu 001; Luc Van Gool (ICRA, 2023)

LiDAR Meta Depth Completion. - Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Ke Li 021; Dengxin Dai (IROS, 2023)

HRFuser: A Multi-Resolution Sensor Fusion Architecture for 2D Object Detection. - Tim Brödermann; Christos Sakaridis; Dengxin Dai; Luc Van Gool (ITSC, 2023)

Jointly Learning Band Selection and Filter Array Design for Hyperspectral Imaging. - Ke Li 021; Dengxin Dai; Luc Van Gool (WACV, 2023)

Benchmarking the Robustness of LiDAR Semantic Segmentation Models. - Xu Yan 005; Chaoda Zheng; Zhen Li 026; Shuguang Cui; Dengxin Dai (CoRR, 2023)

No One Left Behind: Real-World Federated Class-Incremental Learning. - Jiahua Dong 001; Yang Cong; Gan Sun; Yulun Zhang 001; Bernt Schiele; Dengxin Dai (CoRR, 2023)

LiDAR Meta Depth Completion. - Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Dengxin Dai (CoRR, 2023)

Deep Gradient Learning for Efficient Camouflaged Object Detection. - Ge-Peng Ji; Deng-Ping Fan; Yu-Cheng Chou; Dengxin Dai; Alexander Liniger; Luc Van Gool (Int. J. Autom. Comput., 2023)

Binaural SoundNet: Predicting Semantics, Depth and Motion With Binaural Sounds. - Dengxin Dai; Arun Balajee Vasudevan; Jiri Matas; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2023)

Revisiting Consistency Regularization for Semi-Supervised Learning. - Yue Fan; Anna Kukleva; Dengxin Dai; Bernt Schiele (Int. J. Comput. Vis., 2023)

Improving Semi-Supervised and Domain-Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. - Lukas Hoyer; Dengxin Dai; Qin Wang 013; Yuhua Chen; Luc Van Gool (Int. J. Comput. Vis., 2023)

Discwise Active Learning for LiDAR Semantic Segmentation. - Ozan Unal; Dengxin Dai; Ali Tamer Ünal; Luc Van Gool (IEEE Robotics Autom. Lett., 2023)

FreePoint: Unsupervised Point Cloud Instance Segmentation. - Zhikai Zhang; Jian Ding 001; Li Jiang 009; Dengxin Dai; Guisong Xia (CVPR, 2024)

MICDrop: Masking Image and Depth Features via Complementary Dropout for Domain-Adaptive Semantic Segmentation. - Linyan Yang; Lukas Hoyer; Mark Weber; Tobias Fischer 004; Dengxin Dai; Laura Leal-Taixé; Marc Pollefeys; Daniel Cremers; Luc Van Gool (ECCV (39), 2024)

Object-centric Cross-modal Feature Distillation for Event-based Object Detection. - Lei Li; Alexander Liniger; Mario Millhäusler; Vagia Tsiminaki; Yuanyou Li; Dengxin Dai (ICRA, 2024)

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 (IROS, 2024)

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

Forging Vision Foundation Models for Autonomous Driving: Challenges, Methodologies, and Opportunities. - Xu Yan 005; Haiming Zhang 001; Yingjie Cai; Jingming Guo; Weichao Qiu; Bin Gao; Kaiqiang Zhou; Yue Zhao; Huan Jin; Jiantao Gao; Zhen Li 026; Lihui Jiang; et al. (CoRR, 2024)

Domain Adaptive and Generalizable Network Architectures and Training Strategies for Semantic Image Segmentation. - Lukas Hoyer; Dengxin Dai; Luc Van Gool (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

MTR++: Multi-Agent Motion Prediction With Symmetric Scene Modeling and Guided Intention Querying. - Shaoshuai Shi; Li Jiang 009; Dengxin Dai; Bernt Schiele (IEEE Trans. Pattern Anal. Mach. Intell., 2024)

Benchmarking the Robustness of LiDAR Semantic Segmentation Models. - Xu Yan 005; Chaoda Zheng; Ying Xue 003; Zhen Li 026; Shuguang Cui; Dengxin Dai (Int. J. Comput. Vis., 2024)

Burst Image Super-Resolution with Mamba. - Ozan Unal; Steven Marty; Dengxin Dai (CoRR, 2025)

Beyond Calibration: Physically Informed Learning for Raw-to-Raw Mapping. - Peter Grönquist; Stepan Tulyakov; Dengxin Dai (CoRR, 2025)

RealDriveSim: A Realistic Multi-Modal Multi-Task Synthetic Dataset for Autonomous Driving. - Arpit Jadon; Haoran Wang; Phillip Thomas; Michael Stanley; S. Nathaniel Cibik; Rachel Laurat; Omar Maher; Lukas Hoyer; Ozan Unal; Dengxin Dai (CoRR, 2025)

GaVS: 3D-Grounded Video Stabilization via Temporally-Consistent Local Reconstruction and Rendering. - Zinuo You; Stamatios Georgoulis; Anpei Chen; Siyu Tang; Dengxin Dai (CoRR, 2025)

ECCV 2024 W-CODA: 1st Workshop on Multimodal Perception and Comprehension of Corner Cases in Autonomous Driving. - Kai Chen 023; Ruiyuan Gao 001; Lanqing Hong; Hang Xu 004; Xu Jia 012; Holger Caesar; Dengxin Dai; Bingbing Liu; Dzmitry Tsishkou; Songcen Xu; Chunjing Xu; Qiang Xu 001; et al. (CoRR, 2025)

Test-Time Training for Hyperspectral Image Super-Resolution. - Ke Li 021; Luc Van Gool; Dengxin Dai (IEEE Trans. Pattern Anal. Mach. Intell., 2025)