Xing, Junliang

SiamRPN++: Evolution of Siamese Visual Tracking With Very Deep Networks

Li, B., Wu, W., Wang, Q., Zhang, F., Xing, J., & Yan, J. (2019) · 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Video Surveillance and Tracking MethodsAdvanced Neural Network Applications

Cited by 2,607

View Adaptive Recurrent Neural Networks for High Performance Human Action Recognition from Skeleton Data

Zhang, P., Lan, C., Xing, J., Zeng, W., Xue, J., & Zheng, N. (2017) · 2017 IEEE International Conference on Computer Vision (ICCV)

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 691

Learning Attentions: Residual Attentional Siamese Network for High Performance Online Visual Tracking

Wang, Q., Teng, Z., Xing, J., Gao, J., Hu, W., & Maybank, S. (2018) · 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition

Video Surveillance and Tracking MethodsVisual Attention and Saliency Detection

Cited by 604

View Adaptive Neural Networks for High Performance Skeleton-Based Human Action Recognition

Zhang, P., Lan, C., Xing, J., Zeng, W., Xue, J., & Zheng, N. (2019) · IEEE Transactions on Pattern Analysis and Machine Intelligence

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 523

Multi-Modality Multi-Task Recurrent Neural Network for Online Action Detection

Liu, J., Li, Y., Song, S., Xing, J., Lan, C., & Zeng, W. (2019) · IEEE Transactions on Circuits and Systems for Video Technology

Human Pose and Action RecognitionHand Gesture Recognition Systems

Cited by 62

MMTSA: Multimodal Temporal Segment Attention Network for Efficient Human Activity Recognition

Gao, Z., Wang, Y., Chen, J., Xing, J., Patel, S., Liu, X., & Shi, Y. (2022) · arXiv

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 6

GTR: Guided Thought Reinforcement Prevents Thought Collapse in RL-Based VLM Agent Training

Wei, T., Yang, Y., Xing, J., Shi, Y., Lu, Z., & Ye, D. (2025) · 2025 IEEE/CVF International Conference on Computer Vision (ICCV)

Multimodal Machine Learning ApplicationsReinforcement Learning in Robotics

Cited by 1

K^2-Agent: Co-Evolving Know-What and Know-How for Hierarchical Mobile Device Control

Wu, Z., Mo, D., Lu, H., Xing, J., Liu, J., Jing, Y., Li, K., Shao, K., Hao, J., & Shi, Y. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0