| Pc-darts: Partial channel connections for memory-efficient architecture search Y Xu, L Xie, X Zhang, X Chen, GJ Qi, Q Tian, H Xiong arXiv preprint arXiv:1907.05737, 2019 | 542 | 2019 |
| Swin-unet: Unet-like pure transformer for medical image segmentation H Cao, Y Wang, J Chen, D Jiang, X Zhang, Q Tian, M Wang arXiv preprint arXiv:2105.05537, 2021 | 472 | 2021 |
| Picking deep filter responses for fine-grained image recognition X Zhang, H Xiong, W Zhou, W Lin, Q Tian Proceedings of the IEEE conference on computer vision and pattern …, 2016 | 338 | 2016 |
| 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 | 220 | 2019 |
| 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 | 157 | 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 | 115 | 2019 |
| Rethinking rotated object detection with gaussian wasserstein distance loss X Yang, J Yan, Q Ming, W Wang, X Zhang, Q Tian International Conference on Machine Learning, 11830-11841, 2021 | 112 | 2021 |
| Zigzag Learning for Weakly Supervised Object Detection X Zhang, J Feng, H Xiong, Q Tian Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018 | 105 | 2018 |
| Weight-sharing neural architecture search: A battle to shrink the optimization gap L Xie, X Chen, K Bi, L Wei, Y Xu, L Wang, Z Chen, A Xiao, J Chang, ... ACM Computing Surveys (CSUR) 54 (9), 1-37, 2021 | 47 | 2021 |
| Fused one-vs-all features with semantic alignments for fine-grained visual categorization X Zhang, H Xiong, W Zhou, Q Tian IEEE Transactions on Image Processing 25 (2), 878-892, 2015 | 44 | 2015 |
| Circumventing outliers of autoaugment with knowledge distillation L Wei, A Xiao, L Xie, X Zhang, X Chen, Q Tian Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 37 | 2020 |
| Distilling object detectors with task adaptive regularization R Sun, F Tang, X Zhang, H Xiong, Q Tian arXiv preprint arXiv:2006.13108, 2020 | 33 | 2020 |
| Msg-transformer: Exchanging local spatial information by manipulating messenger tokens J Fang, L Xie, X Wang, X Zhang, W Liu, Q Tian Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 32 | 2022 |
| Picking neural activations for fine-grained recognition X Zhang, H Xiong, W Zhou, W Lin, Q Tian IEEE Transactions on Multimedia 19 (12), 2736-2750, 2017 | 31 | 2017 |
| Latency-aware differentiable neural architecture search Y Xu, L Xie, X Zhang, X Chen, B Shi, Q Tian, H Xiong arXiv preprint arXiv:2001.06392, 2020 | 28 | 2020 |
| Fused one-vs-all mid-level features for fine-grained visual categorization X Zhang, H Xiong, W Zhou, Q Tian Proceedings of the 22nd ACM international conference on Multimedia, 287-296, 2014 | 26 | 2014 |
| Ml-locnet: Improving object localization with multi-view learning network X Zhang, Y Yang, J Feng Proceedings of the european conference on computer vision (ECCV), 240-255, 2018 | 24 | 2018 |
| Attribute mix: Semantic data augmentation for fine grained recognition H Li, X Zhang, Q Tian, H Xiong 2020 IEEE International Conference on Visual Communications and Image …, 2020 | 23 | 2020 |
| Can semantic labels assist self-supervised visual representation learning? L Wei, L Xie, J He, X Zhang, Q Tian Proceedings of the AAAI Conference on Artificial Intelligence 36 (3), 2642-2650, 2022 | 16 | 2022 |
| Seed the views: Hierarchical semantic alignment for contrastive representation learning H Xu, X Zhang, H Li, L Xie, W Dai, H Xiong, Q Tian IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 | 15 | 2022 |
Qi Tian, Chief Scientist in Artificial Intel...Huawei CloudPotvrđena adresa e-pošte na huawei.com
