| Distilling object detectors with fine-grained feature imitation T Wang, L Yuan, X Zhang, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 36 | 2019 |
| Pyramid channel-based feature attention network for image dehazing X Zhang, T Wang, J Wang, G Tang, L Zhao Computer Vision and Image Understanding 197, 103003, 2020 | 34 | 2020 |
| Few-shot adaptive faster r-cnn T Wang, X Zhang, L Yuan, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Revisiting knowledge distillation via label smoothing regularization L Yuan, FEH Tay, G Li, T Wang, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 32 | 2020 |
| Revisit knowledge distillation: a teacher-free framework L Yuan, FEH Tay, G Li, T Wang, J Feng arXiv preprint arXiv:1909.11723, 2019 | 26 | 2019 |
| Overcoming classifier imbalance for long-tail object detection with balanced group softmax Y Li, T Wang, B Kang, S Tang, C Wang, J Li, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 20 | 2020 |
| Central similarity quantization for efficient image and video retrieval L Yuan, T Wang, X Zhang, FEH Tay, Z Jie, W Liu, J Feng Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 15* | 2020 |
| Recursive neural network for video deblurring X Zhang, R Jiang, T Wang, J Wang IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 13 | 2020 |
| Prototype reminding for continual learning M Zhang, T Wang, JH Lim, J Feng arXiv preprint arXiv:1905.09447, 2019 | 8* | 2019 |
| The devil is in classification: A simple framework for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, J Liew, S Tang, S Hoi, J Feng European conference on computer vision, 728-744, 2020 | 7 | 2020 |
| Attention-based interpolation network for video deblurring X Zhang, R Jiang, T Wang, P Huang, L Zhao Neurocomputing, 2020 | 6 | 2020 |
| Classification calibration for long-tail instance segmentation T Wang, Y Li, B Kang, J Li, JH Liew, S Tang, S Hoi, J Feng arXiv preprint arXiv:1910.13081, 2019 | 6 | 2019 |
| Sequence-Dropout Block for Reducing Overfitting Problem in Image Classification L Qian, L Hu, L Zhao, T Wang, R Jiang IEEE Access 8, 62830-62840, 2020 | 3 | 2020 |
| Multi-level Fusion and Attention-guided CNN for Image Dehazing X Zhang, T Wang, W Luo, P Huang IEEE Transactions on Circuits and Systems for Video Technology, 2020 | 2 | 2020 |
| Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment X Zhang, J Wang, T Wang, R Jiang, J Xu, L Zhao Information Sciences, 2020 | 2 | 2020 |
| Video deblurring via spatiotemporal pyramid network and adversarial gradient prior T Wang, X Zhang, R Jiang, L Zhao, H Chen, W Luo Computer Vision and Image Understanding 203, 103135, 2020 | 2 | 2020 |
| Video deblurring via temporally and spatially variant recurrent neural network R Jiang, L Zhao, T Wang, J Wang, X Zhang IEEE Access 8, 7587-7597, 2019 | 2 | 2019 |
| Robust monocular SLAM towards motion disturbance W Liu, N Zheng, Z Yuan, P Ren, T Wang Chinese Science Bulletin 59 (17), 2050-2056, 2014 | 2 | 2014 |
| Tokens-to-token vit: Training vision transformers from scratch on imagenet L Yuan, Y Chen, T Wang, W Yu, Y Shi, FEH Tay, J Feng, S Yan arXiv preprint arXiv:2101.11986, 2021 | 1 | 2021 |
| Haze concentration adaptive network for image dehazing T Wang, L Zhao, P Huang, X Zhang, J Xu Neurocomputing 439, 75-85, 2021 | | 2021 |
Jiashi FengNational University of SingaporeBestätigte E-Mail-Adresse bei nus.edu.sg
