| Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks Y He, G Kang, X Dong, Y Fu, Y Yang International Joint Conference on Artificial Intelligence (IJCAI), 2018 | 860 | 2018 |
| NATS-Bench: Benchmarking NAS Algorithms for Architecture Topology and Size X Dong, L Liu, K Musial, B Gabrys IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2021 | 564* | 2021 |
| Searching for A Robust Neural Architecture in Four GPU Hours X Dong, Y Yang Proc. of IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 545 | 2019 |
| A Bottom-Up Clustering Approach to Unsupervised Person Re-Identification Y Lin, X Dong, L Zheng, Y Yan, Y Yang AAAI Conference on Artificial Intelligence (AAAI), 2019 | 431 | 2019 |
| Exploit the Unknown Gradually: One-Shot Video-Based Person Re-Identification by Stepwise Learning Y Wu, Y Lin, X Dong, Y Yan, W Ouyang, Y Yang Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 366 | 2018 |
| Style Aggregated Network for Facial Landmark Detection X Dong, Y Yan, W Ouyang, Y Yang Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 329 | 2018 |
| More is Less: A More Complicated Network with Less Inference Complexity X Dong, J Huang, Y Yang, S Yan Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 300 | 2017 |
| Auto-ReID: Searching for a Part-aware ConvNet for Person Re-Identification R Quan, X Dong, Y Wu, L Zhu, Y Yang Proc. of IEEE International Conference on Computer Vision (ICCV), 2019 | 236 | 2019 |
| Network Pruning via Transformable Architecture Search X Dong, Y Yang Neural Information Processing Systems (NeurIPS), 2019 | 229 | 2019 |
| Progressive Learning for Person Re-Identification with One Example Y Wu, Y Lin, X Dong, Y Yan, W Bian, Y Yang IEEE Transactions on Image Processing (TIP), 2019 | 205 | 2019 |
| Supervision-by-Registration: An Unsupervised Approach to Improve the Precision of Facial Landmark Detectors X Dong, SI Yu, X Weng, SE Wei, Y Yang, Y Sheikh Proc. of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018 | 196 | 2018 |
| Few-Example Object Detection with Model Communication X Dong, L Zheng, F Ma, Y Yang, D Meng IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41 (7 …, 2019 | 179 | 2019 |
| One-Shot Neural Architecture Search via Self-Evaluated Template Network X Dong, Y Yang Proc. of IEEE International Conference on Computer Vision (ICCV), 2019 | 156 | 2019 |
| Self-paced Co-training F Ma, D Meng, Q Xie, Z Li, X Dong International Conference on Machine Learning (ICML), 2275-2284, 2017 | 145 | 2017 |
| Asymptotic Soft Filter Pruning for Deep Convolutional Neural Networks Y He, X Dong, G Kang, Y Fu, C Yan, Y Yang IEEE Transactions on Cybernetics, 2019 | 142* | 2019 |
| Patchshuffle regularization G Kang, X Dong, L Zheng, Y Yang arXiv preprint arXiv:1707.07103, 2017 | 93 | 2017 |
| Teacher Supervises Students How to Learn From Partially Labeled Images for Facial Landmark Detection X Dong, Y Yang Proc. of IEEE International Conference on Computer Vision (ICCV), 2019 | 70 | 2019 |
| AutoHAS: Efficient Hyperparameter and Architecture Search X Dong, M Tan, AW Yu, D Peng, B Gabrys, QV Le Workshop on NAS at International Conference on Learning Representations (ICLR), 2021 | 52* | 2021 |
| A Dual-Network Progressive Approach to Weakly Supervised Object Detection X Dong, D Meng, F Ma, Y Yang Proc. of the ACM International Conference on Multimedia (ACM MM), 279-287, 2017 | 43 | 2017 |
| Fast Parameter Adaptation for Few-shot Image Captioning and Visual Question Answering X Dong, L Zhu, D Zhang, Y Yang, F Wu Proc. of the ACM International Conference on Multimedia (ACM MM), 2018 | 42 | 2018 |
Mingxing TanWaymo Research, Google Brain在 google.com 的电子邮件经过验证
