| Direct Estimation of Spinal Cobb Angles by Structured Multi-Output Regression S Haoliang, Z Xiantong, B Chris, R Parham, Y Yilong, L Shuo Proceedings of International Conference on Information Processing in Medical …, 2017 | 91 | 2017 |
| Learning transferable parameters for unsupervised domain adaptation Z Han, H Sun, Y Yin IEEE Transactions on Image Processing 31, 6424-6439, 2022 | 53 | 2022 |
| Self-Filtering: A Noise-Aware Sample Selection for Label Noise with Confidence Penalization Q Wei, H Sun, X Lu, Y Yin European Conference on Computer Vision (ECCV), 2022 | 52 | 2022 |
| Dual-glow: Conditional flow-based generative model for modality transfer H Sun, R Mehta, HH Zhou, Z Huang, SC Johnson, V Prabhakaran, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 50 | 2019 |
| Learning Deep Match Kernels for Image-Set Classification SL Haoliang Sun, Xiantong Zhen, Yuanjie Zheng, Gongping Yang, Yilong Yin Proceedings of the IEEE conference on computer vision and pattern recognition, 2017 | 47 | 2017 |
| Fine-Grained Classification with Noisy Labels Q Wei, L Feng, H Sun, R Wang, C Guo, Y Yin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 41 | 2023 |
| Learning to Rectify for Robust Learning with Noisy Labels H Sun, C Guo, Q Wei, Z Han, Y Yin Pattern Recognition 124, 108467, 2022 | 40 | 2022 |
| Learning to learn kernels with variational random features X Zhen, H Sun, CS Yingjun Du, Jun Xu, Yilong Yin, Ling Shao International Conference on Machine Learning, 11409-11419, 2020 | 34 | 2020 |
| Modality-Specific Structure Preserving Hashing for Cross-Modal Retrieval X Liu, X Nie, H Sun, C Cui, Y Yin IEEE International Conference on Acoustics, Speech and Signal Processing …, 2018 | 23 | 2018 |
| Towards accurate and robust domain adaptation under multiple noisy environments Z Han, XJ Gui, H Sun, Y Yin, S Li IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6460-6479, 2022 | 16 | 2022 |
| MetaViewer: Towards A Unified Multi-View Representation R Wang, H Sun, Y Ma, X Xi, Y Yin Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 15 | 2023 |
| Attentional Prototype Inference for Few-Shot Segmentation H Sun, X Lu, H Wang, Y Yin, X Zhen, CGM Snoek, L Shao Pattern Recognition, 2023 | 13* | 2023 |
| MetaKernel: Learning variational random features with limited labels Y Du, H Sun, X Zhen, J Xu, Y Yin, L Shao, CGM Snoek IEEE Transactions on Pattern Analysis and Machine Intelligence 46 (3), 1464-1478, 2022 | 8 | 2022 |
| SNIP-FSL: Finding task-specific lottery jackpots for few-shot learning R Wang, H Sun, X Nie, Y Yin Knowledge-Based Systems, 2022 | 5 | 2022 |
| Learning The Set Graphs: Image-Set Classification Using Sparse Graph Convolutional Networks H Sun, X Zhen, Y Yin The 26th IEEE International Conference on Image Processing (ICIP), 2019 | 3 | 2019 |
| Dual Flow Generative Computer Architecture H Sun, RR Mehta, H Zhou, V Singh, V Prabhakaran, SC Johnson US Patent US11544607B2, 2020 | 2 | 2020 |
| Variational Rectification Inference for Learning with Noisy Labels H Sun, Q Wei, L Feng, Y Hu, F Liu, H Fan, Y Yin International Journal of Computer Vision, 1-20, 2024 | 1 | 2024 |
| Learning Sample-Aware Threshold for Semi-Supervised Learning Q Wei, L Feng, H Sun, R Wang, R He, Y Yin Machine Learning Journal (ACML Journal Track), 2023 | 1 | 2023 |
| Multi-View Representation Learning via View-Aware Modulation R Wang, H Sun, X Nie, Y Lin, X Xi, Y Yin Proceedings of the 31st ACM International Conference on Multimedia, 3876-3886, 2023 | 1 | 2023 |
| Improving Generalization in Meta-Learning via Meta-Gradient Augmentation R Wang, H Sun, Q Wei, X Nie, Y Ma, Y Yin arXiv preprint arXiv:2306.08460, 2023 | 1 | 2023 |
Xiantong ZhenUnited ImagingПодтвержден адрес электронной почты в домене inceptioniai.org