Yu-Ming Tang

According to our database, Yu-Ming Tang authored at least 16 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Learning to Generate via Understanding: Understanding-Driven Intrinsic Rewarding for Unified Multimodal Models.

Jiadong Pan, Liang Li, Yuxin Peng, Yu-Ming Tang, Shuohuan Wang, Yu Sun, Hua Wu, Qingming Huang, Haifeng Wang

CoRR, March, 2026

TechCoach: Towards Technical-Point-Aware Descriptive Action Coaching.

Yuan-Ming Li, An-Lan Wang, Ling-An Zeng, Kun-Yu Lin, Yu-Ming Tang, Weishi Zheng

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

ActionArt: Advancing Multimodal Large Models for Fine-Grained Human-Centric Video Understanding.

Yi-Xing Peng, Qize Yang, Yu-Ming Tang, Shenghao Fu, Kun-Yu Lin, Xihan Wei, Wei-Shi Zheng

CoRR, April, 2025

iManip: Skill-Incremental Learning for Robotic Manipulation.

Zexin Zheng, Jia-Feng Cai, Xiao-Ming Wu, Yi-Lin Wei, Yu-Ming Tang, Wei-Shi Zheng

CoRR, March, 2025

iManip: Skill-Incremental Learning for Robotic Manipulation.

Zexin Zheng, Jia-Feng Cai, Xiao-Ming Wu, Yi-Lin Wei, Yu-Ming Tang, Ancong Wu, Wei-Shi Zheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

ChainHOI: Joint-based Kinematic Chain Modeling for Human-Object Interaction Generation.

Ling-An Zeng, Guohong Huang, Yi-Lin Wei, Shengbo Gu, Yu-Ming Tang, Jingke Meng, Wei-Shi Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Person De-reidentification: A Variation-guided Identity Shift Modeling.

Yi-Xing Peng, Yu-Ming Tang, Kun-Yu Lin, Qize Yang, Jingke Meng, Xihan Wei, Wei-Shi Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Modeling Multiple Normal Action Representations for Error Detection in Procedural Tasks.

Wei-Jin Huang, Yuan-Ming Li, Zhi-Wei Xia, Yu-Ming Tang, Kun-Yu Lin, Jian-Fang Hu, Wei-Shi Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

MaintaAvatar: A Maintainable Avatar Based on Neural Radiance Fields by Continual Learning.

Shengbo Gu, Yu-Kun Qiu, Yu-Ming Tang, Ancong Wu, Weishi Zheng

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Generalized Intra-Camera Supervised Person Re-Identification.

Yi-Xing Peng, Yu-Ming Tang, Kun-Yu Lin, Wei-Shi Zheng

IEEE Trans. Circuits Syst. Video Technol., June, 2024

TechCoach: Towards Technical Keypoint-Aware Descriptive Action Coaching.

Yuan-Ming Li, An-Lan Wang, Kun-Yu Lin, Yu-Ming Tang, Ling-An Zeng, Jian-Fang Hu, Wei-Shi Zheng

CoRR, 2024

Rethinking Few-Shot Class-Incremental Learning: Learning from Yourself.

Yu-Ming Tang, Yi-Xing Peng, Jingke Meng, Wei-Shi Zheng

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.

Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Andy J. Ma, Yaowei Wang, Wei-Shi Zheng

IEEE Trans. Multim., 2023

DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.

Jiayu Jiao, Yu-Ming Tang, Kun-Yu Lin, Yipeng Gao, Jinhua Ma, Yaowei Wang, Wei-Shi Zheng

CoRR, 2023

When Prompt-based Incremental Learning Does Not Meet Strong Pretraining.

Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data.

Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022