| Domain Adaptive Faster R-CNN for Object Detection in the Wild Y Chen, W Li, C Sakaridis, D Dai, L Van Gool CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2018 | 2233 | 2018 |
| Semantic foggy scene understanding with synthetic data C Sakaridis, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2018 | 1820 | 2018 |
| Multi-Task Learning for Dense Prediction Tasks: A Survey S Vandenhende, S Georgoulis, M Proesmans, D Dai, L Van Gool PAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 1520 | 2021 |
| Continual Test-Time Domain Adaptation Q Wang, O Fink, L Van Gool, D Dai CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 1300 | 2022 |
| ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding C Sakaridis, D Dai, L Van Gool ICCV: International Conference on Computer Vision, 2021 | 1030 | 2021 |
| DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 984 | 2022 |
| Motion Transformer with Global Intention Localization and Local Movement Refinement S Shi, L Jiang, D Dai, B Schiele NeurIPS (Oral): Conference on Neural Information Processing Systems, 2022 | 645 | 2022 |
| Decoupling Zero-Shot Semantic Segmentation J Ding, N Xue, GS Xia, D Dai CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 584 | 2022 |
| MIC: Masked Image Consistency for Context-Enhanced Domain Adaptation L Hoyer, D Dai, H Wang, L Van Gool CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023 | 578 | 2023 |
| DLOW: Domain Flow and Applications R Gong, W Li, Y Chen, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 1-24, 2021 | 549* | 2021 |
| Fast Optical Flow using Dense Inverse Search T Kroeger, R Timofte, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2016 | 537 | 2016 |
| HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2022 | 475 | 2022 |
| Satellite image classification via two-layer sparse coding with biased image representation D Dai, W Yang IEEE Geoscience and remote sensing letters 8 (1), 173-176, 2010 | 473 | 2010 |
| Guided Curriculum Model Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation C Sakaridis, D Dai, L Van Gool International Conference on Computer Vision (ICCV), 2019 | 463 | 2019 |
| End-to-End Urban Driving by Imitating a Reinforcement Learning Coach Z Zhang, A Liniger, D Dai, F Yu, L Van Gool ICCV: International Conference on Computer Vision, 2021 | 451 | 2021 |
| Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime D Dai, L Van Gool IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018 | 392 | 2018 |
| Deep Gradient Learning for Efficient Camouflaged Object Detection GP Ji, DP Fan, YC Chou, D Dai, A Liniger, L Van Gool Machine Intelligence Research, 2022 | 378 | 2022 |
| Model Adaptation with Synthetic and Real Data for Semantic Dense Foggy Scene Understanding C Sakaridis, D Dai, S Hecker, L Van Gool Proceedings of the European Conference on Computer Vision (ECCV), 687-704, 2018 | 364 | 2018 |
| Mtr++: Multi-agent motion prediction with symmetric scene modeling and guided intention querying S Shi, L Jiang, D Dai, B Schiele TPAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2024 | 358 | 2024 |
| Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather M Hahner, C Sakaridis, D Dai, L Van Gool ICCV: International Conference on Computer Vision, 2021 | 347 | 2021 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACEVerified email at insait.ai
