| Dual residual networks leveraging the potential of paired operations for image restoration X Liu, M Suganuma, Z Sun, T Okatani Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 230 | 2019 |
| Revisiting classifier: Transferring vision-language models for video recognition W Wu, Z Sun, W Ouyang Proceedings of the AAAI conference on artificial intelligence 37 (3), 2847-2855, 2023 | 76* | 2023 |
| Feature quantization for defending against distortion of images Z Sun, M Ozay, Y Zhang, X Liu, T Okatani Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 59* | 2018 |
| Evolutionary topology search for tensor network decomposition C Li, Z Sun International Conference on Machine Learning, 5947-5957, 2020 | 39 | 2020 |
| Design of kernels in convolutional neural networks for image classification Z Sun, M Ozay, T Okatani Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The …, 2016 | 27 | 2016 |
| Improving head pose estimation with a combined loss and bounding box margin adjustment M Shao, Z Sun, M Ozay, T Okatani 2019 14th IEEE International Conference on Automatic Face & Gesture …, 2019 | 19 | 2019 |
| Information potential auto-encoders Y Zhang, M Ozay, Z Sun, T Okatani arXiv preprint arXiv:1706.04635, 2017 | 17 | 2017 |
| Guaranteed matrix completion under multiple linear transformations C Li, W He, L Yuan, Z Sun, Q Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 13 | 2019 |
| Multi-level contrastive learning for self-supervised vision transformers S Mo, Z Sun, C Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
| Transferring vision-language models for visual recognition: A classifier perspective W Wu, Z Sun, Y Song, J Wang, W Ouyang International Journal of Computer Vision 132 (2), 392-409, 2024 | 9 | 2024 |
| Siamese Prototypical Contrastive Learning S Mo, Z Sun, C Li The 32nd British Machine Vision Conference, 2021 | 9 | 2021 |
| Representation disentanglement in generative models with contrastive learning S Mo, Z Sun, C Li Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 8 | 2023 |
| Rethinking prototypical contrastive learning through alignment, uniformity and correlation S Mo, Z Sun, C Li arXiv preprint arXiv:2210.10194, 2022 | 8 | 2022 |
| Beyond unfolding: Exact recovery of latent convex tensor decomposition under reshuffling C Li, ME Khan, Z Sun, G Niu, B Han, S Xie, Q Zhao Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4602-4609, 2020 | 8 | 2020 |
| Low-rank embedding of kernels in convolutional neural networks under random shuffling C Li, Z Sun, J Yu, M Hou, Q Zhao ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and …, 2019 | 8 | 2019 |
| On the memory mechanism of tensor-power recurrent models H Qiu, C Li, Y Weng, Z Sun, X He, Q Zhao International Conference on Artificial Intelligence and Statistics, 3682-3690, 2021 | 7 | 2021 |
| High-order learning model via fractional tensor network decomposition C Li, Z Sun, Q Zhao First Workshop on Quantum Tensor Networks in Machine Learning, 34th …, 2020 | 4 | 2020 |
| What Can Simple Arithmetic Operations Do for Temporal Modeling? W Wu, Y Song, Z Sun, J Wang, C Xu, W Ouyang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 3 | 2023 |
| Application-oblivious L7 parsing using recurrent neural networks H Li, Z Bian, P Zhang, Z Sun, C Hu, Q Fu, T Pan, J Lv IEEE/ACM Transactions on Networking 28 (5), 2009-2022, 2020 | 3 | 2020 |
| Focus and retain: Complement the broken pose in human image synthesis P Ge, Q Huang, W Xiang, X Jing, Y Li, Y Li, Z Sun Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 2 | 2021 |
CHAO LIResearch Scientist (indefinite-term), Center for Advanced Intelligence Project (AIP), RIKEN, Japan在 riken.jp 的电子邮件经过验证
