Ziluo Ding

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 19

Top Topics

Reinforcement Learning

Optical Flow Estimation

Top Venues

IEEE Trans. Circuits Syst. Video Technol.

Publications

Weihao Tan, Ziluo Ding, Wentao Zhang, Boyu Li, Bohan Zhou, Junpeng Yue, Haochong Xia, Jiechuan Jiang, Longtao Zheng, Xinrun Xu, Yifei Bi, Pengjie Gu, Xinrun Wang, Börje F. Karlsson, Bo An, Zongqing Lu
Towards General Computer Control: A Multimodal Agent for Red Dead Redemption II as a Case Study. CoRR (2024)
Xinrun Xu, Yuxin Wang, Chaoyi Xu, Ziluo Ding, Jiechuan Jiang, Zhiming Ding, Börje F. Karlsson
A Survey on Game Playing Agents and Large Models: Methods, Applications, and Challenges. CoRR (2024)
Haobin Jiang, Ziluo Ding, Zongqing Lu
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR (2024)
Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tiejun Huang
Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams. CoRR (2024)
Haobin Jiang, Ziluo Ding, Zongqing Lu
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI (2024)
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. CoRR (2023)
Lujie Xia, Ziluo Ding, Rui Zhao, Jiyuan Zhang, Lei Ma, Zhaofei Yu, Tiejun Huang, Ruiqin Xiong
Unsupervised Optical Flow Estimation with Dynamic Timing Representation for Spike Camera. NeurIPS (2023)
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML (2023)
Ziluo Ding, Hao Luo, Ke Li, Junpeng Yue, Tiejun Huang, Zongqing Lu
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR (2023)
Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR (2022)
Rui Zhao, Ruiqin Xiong, Ziluo Ding, Xiaopeng Fan, Jian Zhang, Tiejun Huang
MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder. IEEE Trans. Circuits Syst. Video Technol. 32 (7) (2022)
Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu
Multi-Agent Sequential Decision-Making via Communication. CoRR (2022)
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. AAAI (2022)
Liwen Hu, Rui Zhao, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, Tiejun Huang
Optical Flow Estimation for Spiking Camera. CVPR (2022)
Junwei Zhao, Zhaofei Yu, Lei Ma, Ziluo Ding, Shiliang Zhang, Yonghong Tian, Tiejun Huang
Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP (2022)
Ziluo Ding, Rui Zhao, Jiyuan Zhang, Tianxiao Gao, Ruiqin Xiong, Zhaofei Yu, Tiejun Huang
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. CoRR (2021)
Liwen Hu, Rui Zhao, Ziluo Ding, Ruiqin Xiong, Lei Ma, Tiejun Huang
SCFlow: Optical Flow Estimation for Spiking Camera. CoRR (2021)
Ziluo Ding, Tiejun Huang, Zongqing Lu
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS (2020)
Ziluo Ding, Tiejun Huang, Zongqing Lu
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR (2020)