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Ye Xiang
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2020 – today
- 2024
- [j10]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Meng Jian, Ye Xiang, Ruihai Dong:
Learning to compose diversified prompts for image emotion classification. Comput. Vis. Media 10(6): 1169-1183 (2024) - [j9]Yihao Zheng, Kunming Luo, Shuaicheng Liu, Zun Li, Ye Xiang, Lifang Wu, Bing Zeng, Chang Wen Chen:
GLOCAL: A self-supervised learning framework for global and local motion estimation. Pattern Recognit. Lett. 178: 91-97 (2024) - [j8]Lifang Wu, Meng Tian, Ye Xiang, Ke Gu, Ge Shi:
Learning Label Semantics for Weakly Supervised Group Activity Recognition. IEEE Trans. Multim. 26: 6386-6397 (2024) - [c12]Meng Tian, Ye Xiang, Lifang Wu:
Exploring Spatio-Temporal Discriminative Cues for Group Activity Recognition Via Contrastive Learning. ICASSP 2024: 3710-3714 - 2023
- [j7]Sinuo Deng, Lifang Wu, Ge Shi, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang:
Simple But Powerful, a Language-Supervised Method for Image Emotion Classification. IEEE Trans. Affect. Comput. 14(4): 3317-3331 (2023) - [j6]Lifang Wu, Xianglong Lang, Ye Xiang, Changwen Chen, Zun Li, Zhuming Wang:
Active Spatial Positions Based Hierarchical Relation Inference for Group Activity Recognition. IEEE Trans. Circuits Syst. Video Technol. 33(6): 2839-2851 (2023) - [c11]Meishan Liu, Meng Jian, Ge Shi, Ye Xiang, Lifang Wu:
Graph Contrastive Learning on Complementary Embedding for Recommendation. ICMR 2023: 576-580 - 2022
- [j5]Ye Xiang, Boxuan Zhao, Kuan Zhao, Lifang Wu, Xiangdong Wang:
Improved Dual Attention for Anchor-Free Object Detection. Sensors 22(13): 4971 (2022) - [j4]Lifang Wu, Xianglong Lang, Ye Xiang, Qi Wang, Meng Tian:
Multi-Perspective Representation to Part-Based Graph for Group Activity Recognition. Sensors 22(15): 5521 (2022) - [c10]Sinuo Deng, Ge Shi, Lifang Wu, Lehao Xing, Wenjin Hu, Heng Zhang, Ye Xiang:
SimEmotion: A Simple Knowledgeable Prompt Tuning Method for Image Emotion Classification. DASFAA (3) 2022: 222-229 - [c9]Meng Tian, Xianglong Lang, Ye Xiang, Yan Huang, Lifang Wu, Yunxiang Li:
Part Based Interaction Learning for Group Activity Recognition. MMSP 2022: 1-6 - 2021
- [j3]Lifang Wu, Zeyu Li, Ye Xiang, Meng Jian, Jialie Shen:
Latent label mining for group activity recognition in basketball videos. IET Image Process. 15(14): 3487-3497 (2021) - [c8]Meng Jian, Jingjing Guo, Ye Xiang, Lifang Wu:
Counterfactual Embedding Learning for Debiased Recommendation†. BigMM 2021: 69-73 - [c7]Qi Wang, Xianglong Lang, Ye Xiang, Lifang Wu:
Part-Aware Spatial-Temporal Graph Convolutional Network for Group Activity Recognition. CICAI 2021: 504-515 - [c6]Lifang Wu, Tianqin Yang, Yupeng Guan, Ge Shi, Ye Xiang, Yisong Gao:
Semantic Guided Multi-directional Mixed-Color 3D Printing. ICIG (3) 2021: 106-117 - [c5]Yuchen Yang, Ye Xiang, Shuaicheng Liu, Lifang Wu, Boxuan Zhao, Bing Zeng:
GLM-Net: Global and Local Motion Estimation via Task-Oriented Encoder-Decoder Structure. ACM Multimedia 2021: 4211-4219 - [c4]Lifang Wu, Qi Wang, Zeyu Li, Ye Xiang, Xianglong Lang:
Relation-Guided Actor Attention for Group Activity Recognition. PRCV (1) 2021: 129-141 - [c3]Ran Yang, Meng Jian, Ge Shi, Lifang Wu, Ye Xiang:
Attribute-Level Interest Matching Network for Personalized Recommendation. PRCV (2) 2021: 486-497 - 2020
- [j2]Ye Xiang, Ying Fu, Hua Huang:
Global Topology Constraint Network for Fine-Grained Vehicle Recognition. IEEE Trans. Intell. Transp. Syst. 21(7): 2918-2929 (2020)
2010 – 2019
2000 – 2009
- 2006
- [c1]Hongxun Jiang, Du Honglu, Ye Xiang, Su Jun:
Research on IT outsourcing based on IT systems management. ICEC 2006: 533-537
Coauthor Index
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