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Ziluo Ding
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2020 – today
- 2024
- [c9]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. AAAI 2024: 17444-17452 - [c8]Haobin Jiang, Junpeng Yue, Hao Luo, Ziluo Ding, Zongqing Lu:
Reinforcement Learning Friendly Vision-Language Model for Minecraft. ECCV (68) 2024: 1-17 - [c7]Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tie-Jun Huang:
Learning to Robustly Reconstruct Dynamic Scenes from Low-Light Spike Streams. ECCV (17) 2024: 88-105 - [i13]Liwen Hu, Ziluo Ding, Mianzhi Liu, Lei Ma, Tiejun Huang:
Learning to Robustly Reconstruct Low-light Dynamic Scenes from Spike Streams. CoRR abs/2401.10461 (2024) - [i12]Haobin Jiang, Ziluo Ding, Zongqing Lu:
Settling Decentralized Multi-Agent Coordinated Exploration by Novelty Sharing. CoRR abs/2402.02097 (2024) - [i11]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 abs/2403.03186 (2024) - [i10]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 abs/2403.10249 (2024) - [i9]Zhirui Fang, Ming Yang, Weishuai Zeng, Boyu Li, Junpeng Yue, Ziluo Ding, Xiu Li, Zongqing Lu:
Egocentric Vision Language Planning. CoRR abs/2408.05802 (2024) - [i8]Boyu Li, Haobin Jiang, Ziluo Ding, Xinrun Xu, Haoran Li, Dongbin Zhao, Zongqing Lu:
SELU: Self-Learning Embodied MLLMs in Unknown Environments. CoRR abs/2410.03303 (2024) - 2023
- [c6]Ziluo Ding, Wanpeng Zhang, Junpeng Yue, Xiangjun Wang, Tiejun Huang, Zongqing Lu:
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. ICML 2023: 8103-8119 - [c5]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 - [i7]Ziluo Ding, Hao Luo
CLIP4MC: An RL-Friendly Vision-Language Model for Minecraft. CoRR abs/2303.10571 (2023) - [i6]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 abs/2307.06003 (2023) - 2022
- [j1]Rui Zhao
MRDFlow: Unsupervised Optical Flow Estimation Network With Multi-Scale Recurrent Decoder. IEEE Trans. Circuits Syst. Video Technol. 32(7): 4639-4652 (2022) - [c4]Ziluo Ding, Rui Zhao
Spatio-Temporal Recurrent Networks for Event-Based Optical Flow Estimation. AAAI 2022: 525-533 - [c3]Liwen Hu
Optical Flow Estimation for Spiking Camera. CVPR 2022: 17823-17832 - [c2]Junwei Zhao, Zhaofei Yu, Lei Ma
Modeling The Detection Capability Of High-Speed Spiking Cameras. ICASSP 2022: 4653-4657 - [i5]Ziluo Ding, Kefan Su, Weixin Hong, Liwen Zhu, Tiejun Huang, Zongqing Lu:
Multi-Agent Sequential Decision-Making via Communication. CoRR abs/2209.12713 (2022) - [i4]Ziluo Ding, Wanpeng Zhang
Entity Divider with Language Grounding in Multi-Agent Reinforcement Learning. CoRR abs/2210.13942 (2022) - 2021
- [i3]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 abs/2109.04871 (2021) - [i2]Liwen Hu, Rui Zhao, Ziluo Ding, Ruiqin Xiong, Lei Ma, Tiejun Huang:
SCFlow: Optical Flow Estimation for Spiking Camera. CoRR abs/2110.03916 (2021) - 2020
- [c1]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. NeurIPS 2020 - [i1]Ziluo Ding, Tiejun Huang, Zongqing Lu:
Learning Individually Inferred Communication for Multi-Agent Cooperation. CoRR abs/2006.06455 (2020)
Coauthor Index
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