Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial

Fangwei Zhong, Sheng Wang, Ziqi Zhang, +2

Machine VisionImage AnalysisMachine LearningObject DetectorEngineering +12

UnrealCV

Weichao Qiu, Fangwei Zhong, Yi Zhang, +4

Virtual WorldEngineeringUnreal EngineUnreal Engine 4Virtual Reality +3

End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning

Wenhan Luo, Peng Sun, Fangwei Zhong, +3

IEEE Transactions on Pattern Analysis and Machine Intelligence

Artificial IntelligenceEngineeringMachine LearningActive TrackerActive Object Tracking +17

GFPose: Learning 3D Human Pose Prior with Gradient Fields

Hai Ci, Mingdong Wu, Wentao Zhu, +4

Artificial IntelligenceHuman PoseEngineeringMachine LearningHuman Pose Estimation +14

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System

Yiming Zuo, Weichao Qiu, Lingxi Xie, +3

Artificial IntelligenceRobotic SystemsEngineeringMachine Learning3D Pose Estimation +21

AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking

Fangwei Zhong, Peng Sun, Wenhan Luo, +2

IEEE Transactions on Pattern Analysis and Machine Intelligence

Artificial IntelligenceEngineeringMachine LearningActive TrackerAutonomous Systems +16

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking

Jing Li, Jing Xu, Fangwei Zhong, +3

Proceedings of the AAAI Conference on Artificial Intelligence

Image AnalysisMachine VisionEngineeringCamera NetworkEye Tracking +13

End-to-end Active Object Tracking via Reinforcement Learning

Wenhan Luo, Peng Sun, Fangwei Zhong, +3

arXiv (Cornell University)

Artificial IntelligenceMachine VisionMachine LearningEngineeringDeep Reinforcement Learning +12

Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation

Yuanpei Chen, Yiran Geng, Fangwei Zhong, +5

IEEE Transactions on Pattern Analysis and Machine Intelligence

Artificial IntelligenceRobot KinematicsHuman-robot Collaborative AssemblyEngineeringDexterous Manipulation +16

End-to-end Active Object Tracking via Reinforcement Learning

Wenhan Luo, Peng Sun, Fangwei Zhong, +3

Rare & Special e-Zone (The Hong Kong University of Science and Technology)