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 | 1428 | 2018 |
Semantic foggy scene understanding with synthetic data C Sakaridis, D Dai, L Van Gool IJCV: International Journal of Computer Vision, 2018 | 1017 | 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 | 734* | 2021 |
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 | 414* | 2021 |
Fast Optical Flow using Dense Inverse Search T Kroeger, R Timofte, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2016 | 402 | 2016 |
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 | 380 | 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 | 341 | 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 | 315 | 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 | 304 | 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 | 248 | 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 | 245 | 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 | 228 | 2018 |
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 | 206 | 2018 |
Jointly Optimized Regressors for Image Super-resolution D Dai, R Timofte, L Van Gool Computer Graphics Forum (Eurographics), 2015 | 203 | 2015 |
Decoupling Zero-Shot Semantic Segmentation J Ding, N Xue, GS Xia, D Dai CVPR: IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022 | 185 | 2022 |
HRDA: Context-Aware High-Resolution Domain-Adaptive Semantic Segmentation L Hoyer, D Dai, L Van Gool ECCV: European Conference on Computer Vision, 2022 | 167 | 2022 |
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 | 160 | 2016 |
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 | 145 | 2015 |
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 | 144 | 2021 |
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 |