Fangwei Zhong

Orcid: 0000-0002-0428-4552

According to our database1, Fangwei Zhong authored at least 27 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Bi-DexHands: Towards Human-Level Bimanual Dexterous Manipulation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2024

RoMAT: Role-based multi-agent transformer for generalizable heterogeneous cooperation.
Neural Networks, 2024

Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy.
CoRR, 2024

SocialGFs: Learning Social Gradient Fields for Multi-Agent Reinforcement Learning.
CoRR, 2024

Fast Peer Adaptation with Context-aware Exploration.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Empowering Embodied Visual Tracking with Visual Foundation Models and Offline RL.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation.
IEEE Robotics Autom. Lett., June, 2023

RSPT: Reconstruct Surroundings and Predict Trajectories for Generalizable Active Object Tracking.
CoRR, 2023

Proactive Multi-Camera Collaboration for 3D Human Pose Estimation.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

GFPose: Learning 3D Human Pose Prior with Gradient Fields.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
TarGF: Learning Target Gradient Field for Object Rearrangement.
CoRR, 2022

GraspARL: Dynamic Grasping via Adversarial Reinforcement Learning.
CoRR, 2022

TarGF: Learning Target Gradient Field to Rearrange Objects without Explicit Goal Specification.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Disentangling Disease-related Representation from Obscure for Disease Prediction.
Proceedings of the International Conference on Machine Learning, 2022

ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking.
IEEE Trans. Pattern Anal. Mach. Intell., 2021

Towards Distraction-Robust Active Visual Tracking.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Pose-Assisted Multi-Camera Collaboration for Active Object Tracking.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking.
Proceedings of the 7th International Conference on Learning Representations, 2019

CRAVES: Controlling Robotic Arm With a Vision-Based Economic System.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial.
Proceedings of the 2018 IEEE Winter Conference on Applications of Computer Vision, 2018

End-to-end Active Object Tracking via Reinforcement Learning.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
UnrealCV: Virtual Worlds for Computer Vision.
Proceedings of the 2017 ACM on Multimedia Conference, 2017


  Loading...