| 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 | 1228 | 2018 |
| Semantic foggy scene understanding with synthetic data C Sakaridis, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2018 | 844 | 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 | 557* | 2021 |
| Fast Optical Flow using Dense Inverse Search T Kroeger, R Timofte, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2016 | 370 | 2016 |
| 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 | 347* | 2021 |
| 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 | 272 | 2010 |
| 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 | 230 | 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 | 219 | 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 | 206 | 2018 |
| Jointly Optimized Regressors for Image Super-resolution D Dai, R Timofte, L Van Gool Computer Graphics Forum (Eurographics), 2015 | 196 | 2015 |
| 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 | 192 | 2018 |
| 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 | 188* | 2019 |
| 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 | 183 | 2018 |
| 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 | 166 | 2022 |
| Learning high-level features for satellite image classification with limited labeled samples W Yang, X Yin, GS Xia IEEE Transactions on Geoscience and Remote Sensing 53 (8), 4472-4482, 2015 | 144 | 2015 |
| Latent Dictionary Learning for Sparse Representation based Classification M Yang, D Dai, L Shen, L Van Gool CVPR: IEEE Conference on Computer Vision and Pattern Recognition, 2014 | 143 | 2014 |
| 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 | 140 | 2016 |
| Ensemble projection for semi-supervised image classification D Dai, L Van Gool ICCV: International Conference on Computer Vision, 2013 | 136* | 2013 |
| Domain generalization and adaptation using low rank exemplar svms W Li, Z Xu, D Xu, D Dai, L Van Gool PAMI: IEEE transactions on pattern analysis and machine intelligence, 2017 | 121 | 2017 |
| Polarimetric SAR image classification using multifeatures combination and extremely randomized clustering forests T Zou, W Yang, D Dai, H Sun EURASIP Journal on Advances in Signal Processing 2010, 1-9, 2010 | 114* | 2010 |
Luc Van Goolprofessor computer vision ETH Zurich,KU Leuven,INSAIT,Head Toyota Lab TRACE @KULÐ在 ethz.ch 的电子邮件经过验证
