袁粒檢視原始碼討論檢視歷史
 |
袁粒，男，博士，北京大學信息工程學院助理教授、博士生導師，深圳市海外高層次人才。
人物簡歷
袁粒，分別在中國科學技術大學 (2017年)、 新加坡國立大學(2021年)獲得本科和博士學位。
研究方向
1、計算機視覺；2、深度神經網絡架構設計；3、機器學習
社會任職
擔任IEEE IROS 2022副主編(Associate Editor)和多個會議和期刊的(高級)程序委員會委員/審稿人，包括IEEE TPAMI /TNNLS/TMM/Cell Patterns等。
學術工作
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.
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).
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.
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.
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.
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.
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.
Tao Wang,Li Yuan*, Yunpeng Chen, Jiashi Feng, Shuicheng Yan. PnP-DETR: Towards Efficient Visual Analysis with Transformers. International Conference on Computer Vision (ICCV), 2021.
Yujun Shi,Li Yuan*, Yunpeng Chen, Jiashi Feng. Continual Learning via Bit-Level Information Preservin. IEEE Computer Vision and Pattern Recognition (CVPR), 2021.
Li Yuan, Qibin Hou, Zihang Jiang, Jiashi Feng, Shuicheng Yan. VOLO: Vision Outlooker for Visual Recognition. arxiv preprint arXiv:2106.13112 (2021).
Qibin Hou, Zihang Jiang,Li Yuan, Ming-Ming Cheng, Shuicheng Yan, Jiashi Feng. Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022.
Ziyu Wang, Wenhao Jiang, Yiming Zhu,Li Yuan, Yibing Song, Wei Liu. DynaMixer: A Vision MLP Architecture with Dynamic Mixing. International Conference on Machine Learning (ICML), 2022.
Zeke Xie,Li Yuan, Zhanxing Zhu, Masashi Sugiyama. Positive-Negative Momentum: Manipulating Stochastic Gradient Noise to Improve Generalization. International Conference on Machine Learning (ICML), 2021 (Spotlight).
Zihang Jiang, Qibin Hou,Li Yuan, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng. All Tokens Matter: Token Labeling for Training Better Vision Transformers. Conference on Neural Information Processing Systems (NeurIPS), 2021.
Tao Wang,Li Yuan, Xiaopeng Zhang, Jiashi Feng. Distilling Object Detectors With Fine-Grained Feature Imitation. IEEE Computer Vision and Pattern Recognition (CVPR), 2019.
Tao Wang, Xiaopeng Zhang,Li Yuan, Jiashi Feng. Few-shot adaptive faster r-cnn. IEEE Computer Vision and Pattern Recognition (CVPR), 2019.
發明專利
IMAGE PROCESSING METHOD AND APPARATUS, AND STORAGE MEDIUM, 2020-05-08, 美國, US20210382937A1.
VIDEO-BASED POSE ESTIMATION METHOD AND APPARATUS, MEDIUM, AND ELECTRONIC DEVICE, 2020-10-01, 新加坡, SG10202009760XA.
VIDEO-BASED HUMAN ACTION RECOGNITION METHOD AND APPARATUS, A MEDIUM AND AN ELECTRONIC DEVICE, 2020-10-01, 新加坡, SG10202009757XA.[1]