| 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 | 1537 | 2018 |
| Semantic foggy scene understanding with synthetic data C Sakaridis, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2018 | 1109 | 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 | 807* | 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 | 455 | 2022 |
| 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 | 434* | 2021 |
| Fast Optical Flow using Dense Inverse Search T Kroeger, R Timofte, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2016 | 417 | 2016 |
| 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 | 399 | 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 | 392 | 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 | 321 | 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 | 269 | 2019 |
| Dark Model Adaptation: Semantic Image Segmentation from Daytime to Nighttime D Dai, L Van Gool IEEE International Conference on Intelligent Transportation Systems (ITSC), 2018 | 264 | 2018 |
| 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 | 250 | 2018 |
| Decoupling Zero-Shot Semantic Segmentation J Ding, N Xue, GS Xia, D Dai CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 217 | 2022 |
| End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners S Hecker, D Dai, L Van Gool ECCV; European Conference on Computer Vision, 2018 | 215 | 2018 |
| HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2022 | 205 | 2022 |
| Jointly Optimized Regressors for Image Super-resolution D Dai, R Timofte, L Van Gool Computer Graphics Forum (Eurographics), 2015 | 203 | 2015 |
| 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 | 193 | 2023 |
| 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 | 174 | 2021 |
| Is Image Super-resolution Helpful for Other Vision Tasks? D Dai, Y Wang, Y Chen, L Van Gool IEEE Winter Conference on Applications of Computer Vision (WACV), 2016 | 165 | 2016 |
| Map-Guided Curriculum Domain Adaptation and Uncertainty-Aware Evaluation for Semantic Nighttime Image Segmentation C Sakaridis, D Dai, L Van Gool PAMI: IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021 | 158 | 2021 |
Luc Van Goolprofessor computer vision INSAIT Sofia University, em. KU Leuven, em. ETHZ, Toyota Lab TRACE在 insait.ai 的电子邮件经过验证
