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RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking.

, , , , и . AAAI, стр. 3705-3714. AAAI Press, (2023)

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Gang Zhong

Lianmin Zhong

Weimin Zhong

Yanlin Zhong

Yang Zhong

 

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MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control., , , , , и . NeurIPS, (2022)TarGF: Learning Target Gradient Field for Object Rearrangement., , , и . CoRR, (2022)ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind., , , и . ICLR, OpenReview.net, (2022)Proactive Multi-Camera Collaboration for 3D Human Pose Estimation., , , , и . ICLR, OpenReview.net, (2023)Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL., , , , и . CoRR, (2024)Pose-Assisted Multi-Camera Collaboration for Active Object Tracking., , , , , и . AAAI, стр. 759-766. AAAI Press, (2020)RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking., , , , и . AAAI, стр. 3705-3714. AAAI Press, (2023)AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking., , , , и . ICLR (Poster), OpenReview.net, (2019)UnrealCV: Virtual Worlds for Computer Vision., , , , , , и . ACM Multimedia, стр. 1221-1224. ACM, (2017)CRAVES: Controlling Robotic Arm With a Vision-Based Economic System., , , , , и . CVPR, стр. 4214-4223. Computer Vision Foundation / IEEE, (2019)