代表性学术成果/论文
完整列表请访问Google Scholar(https://scholar.google.com/citations?user=-5juAR0AAAAJ&hl=en)
1.Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan. VOLO: Vision Outlooker for Visual Recognition. IEEEIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
2.Munan Ning, Donghuan Lu, Yujia Xie, Dongdong Chen, Dong Wei, Yefeng Zheng, Yonghong Tian, Shuicheng Yan, Li Yuan†(通讯). MADAv2: Advanced Multi-Anchor Based Active Domain Adaptation Segmentation.IEEEIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023.
3.Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis EH Tay, Jiashi Feng, Shuicheng Yan. Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. International Conference on Computer Vision (ICCV), 2021.千引工作.
4.Li Yuan, Francis EH Tay, Guilin Li, Tao Wang, Jiashi Feng.Revisiting Knowledge Distillation via Label Smoothing Regularization. IEEE Computer Vision and Pattern Recognition (CVPR), 2020 (Oral).
5.Li Yuan, Tao Wang, Xiaopeng Zhang, Francis EH Tay, Zequn Jie, Wei Liu, Jiashi Feng.Central Similarity Quantization for Efficient Image and Video Retrieval. IEEE Computer Vision and Pattern Recognition (CVPR), 2020.
6.Li Yuan, Yichen Zhou, Shuning Chang, Ziyuan Huang, Yupeng Chen, Xuecheng Nie, Tao Wang, Jiashi Feng, Shuicheng Yan.Toward Accurate Person-level Action Recognition in Videos of Crowded Scenes. ACM International Conference on Multimedia (ACM MM), 2020.
7.Li Yuan, Shuning Chang, Ziyuan Huang, Yichen Zhou, Yupeng Chen, Xuecheng Nie, Francis Tay, Jiashi Feng, Shuicheng Yan.A Simple Baseline for Pose Tracking in Videos of Crowed Scenes. ACM International Conference on Multimedia (ACM MM), 2020.
8.Li Yuan, Francis Eng Hock Tay, Ping Li, Li Zhou, Jiashi Feng.Cycle-SUM: Cycle-Consistent Adversarial LSTM Networks for Unsupervised Video Summarization. AAAI Conference on Artificial Intelligence (AAAI), 2019.
9.Li Yuan, Francis Eng Hock Tay, Ping Li, Jiashi Feng. Unsupervised Video Summarization with Cycle-Consistent Adversarial LSTM Networks. IEEE Transactions on Multimedia (IEEE TMM), 2019.
10.Yatian Pang, Wenxiao Wang, Francis E.H. Tay, Wei Liu, Yonghong Tian,Li Yuan*. Masked Autoencoders for Point Cloud Self-supervised Learning. European Conference on Computer Vision (ECCV), 2022.
11.Zhaokun Zhou, Yuesheng Zhu, Chao He, Yaowei Wang, Shuicheng Yan, Yonghong Tian,Li Yuan†. Spikformer: When Spiking Neural Network Meets Transformer. International Conference on Learning Representations (ICLR), 2023.
