| Jo-SRC: A Contrastive Approach for Combating Noisy Labels Y Yao, Z Sun, C Zhang, F Shen, Q Wu, J Zhang, Z Tang IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5192-5201, 2021 | 182 | 2021 |
| Poly kernel inception network for remote sensing detection X Cai, Q Lai, Y Wang, W Wang, Z Sun, Y Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 85 | 2024 |
| Pnp: Robust learning from noisy labels by probabilistic noise prediction Z Sun, F Shen, D Huang, Q Wang, X Shu, Y Yao, J Tang proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 75 | 2022 |
| Webly supervised fine-grained recognition: Benchmark datasets and an approach Z Sun, Y Yao, XS Wei, Y Zhang, F Shen, J Wu, J Zhang, HT Shen Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 72 | 2021 |
| CRSSC: salvage reusable samples from noisy data for robust learning Z Sun, XS Hua, Y Yao, XS Wei, G Hu, J Zhang ACM International Conference on Multimedia (ACM MM), 92-101, 2020 | 48 | 2020 |
| Co-ldl: A co-training-based label distribution learning method for tackling label noise Z Sun, H Liu, Q Wang, T Zhou, Q Wu, Z Tang IEEE Transactions on Multimedia 24, 1093-1104, 2021 | 33 | 2021 |
| Bridging the web data and fine-grained visual recognition via alleviating label noise and domain mismatch Y Yao, X Hua, G Gao, Z Sun, Z Li, J Zhang ACM International Conference on Multimedia (ACM MM), 1735-1744, 2020 | 27 | 2020 |
| Attention map guided transformer pruning for occluded person re-identification on edge device J Mao, Y Yao, Z Sun, X Huang, F Shen, HT Shen IEEE Transactions on Multimedia 25, 1592-1599, 2023 | 22 | 2023 |
| Dynamically visual disambiguation of keyword-based image search Y Yao, Z Sun, F Shen, L Liu, L Wang, F Zhu, L Ding, G Wu, L Shao International Joint Conference on Artificial Intelligence (IJCAI), 996-1002, 2019 | 21 | 2019 |
| Adaptive integration of partial label learning and negative learning for enhanced noisy label learning M Sheng, Z Sun, Z Cai, T Chen, Y Zhou, Y Yao Proceedings of the AAAI Conference on Artificial Intelligence 38 (5), 4820-4828, 2024 | 20 | 2024 |
| Road segmentation with image-LiDAR data fusion in deep neural network H Liu, Y Yao, Z Sun, X Li, K Jia, Z Tang Multimedia Tools and Applications 79, 35503-35518, 2020 | 18 | 2020 |
| Exploiting textual queries for dynamically visual disambiguation Z Sun, Y Yao, J Xiao, L Zhang, J Zhang, Z Tang Pattern Recognition 110, 107620, 2021 | 16 | 2021 |
| Boosting robust learning via leveraging reusable samples in noisy web data Z Sun, Y Yao, XS Wei, F Shen, J Zhang, XS Hua IEEE Transactions on Multimedia 25, 3284-3295, 2022 | 13 | 2022 |
| VideoMAC: Video Masked Autoencoders Meet ConvNets G Pei, T Chen, X Jiang, H Liu, Z Sun, Y Yao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection H Liu, M Sheng, Z Sun, Y Yao, XS Hua, HT Shen IEEE Transactions on Multimedia, 2024 | 7 | 2024 |
| Foster adaptivity and balance in learning with noisy labels M Sheng, Z Sun, T Chen, S Pang, Y Wang, Y Yao European Conference on Computer Vision, 217-235, 2024 | 4 | 2024 |
| Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation T Chen, X Jiang, G Pei, Z Sun, Y Wang, Y Yao European Conference on Computer Vision, 441-458, 2024 | 4 | 2024 |
| Unsupervised pre-training for 3D object detection with transformer M Sun, X Huang, Z Sun, Q Wang, Y Yao Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 82-95, 2022 | 4 | 2022 |
| Relating CNN-Transformer Fusion Network for Remote Sensing Change Detection Y Gao, G Pei, M Sheng, Z Sun, T Chen, Y Yao 2024 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2024 | 3 | 2024 |
| Relating CNN-Transformer Fusion Network for Change Detection Y Gao, G Pei, M Sheng, Z Sun, T Chen, Y Yao arXiv preprint arXiv:2407.03178, 2024 | 2 | 2024 |
Yazhou Yao（姚亚洲）Nanjing University of Science and TechnologyZweryfikowany adres z njust.edu.cn