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Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning


Jan 26, 2023
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

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* 23 pages, 16 figures 

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Tackling Visual Control via Multi-View Exploration Maximization


Nov 28, 2022
Mingqi Yuan, Xin Jin, Bo Li, Wenjun Zeng

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* 21 pages, 9 figures 

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Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning


Sep 25, 2022
Mingqi Yuan, Bo Li, Xin Jin, Wenjun Zeng

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* 16 pages, 9 figures 

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A Nonparametric Contextual Bandit with Arm-level Eligibility Control for Customer Service Routing


Sep 08, 2022
Ruofeng Wen, Wenjun Zeng, Yi Liu

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* Accepted at 4th Edition of Knowledge-aware and Conversational Recommender Systems (KaRS) Workshop @ RecSys 2022, September 18--23 2023, Seattle, WA, USA 

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Robust Multi-Object Tracking by Marginal Inference


Aug 07, 2022
Yifu Zhang, Chunyu Wang, Xinggang Wang, Wenjun Zeng, Wenyu Liu

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* ECCV 2022 

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VirtualPose: Learning Generalizable 3D Human Pose Models from Virtual Data


Jul 20, 2022
Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang

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ReSTR: Convolution-free Referring Image Segmentation Using Transformers


Mar 31, 2022
Namyup Kim, Dongwon Kim, Cuiling Lan, Wenjun Zeng, Suha Kwak

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* CVPR 2022 accepted 

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Correlation-Aware Deep Tracking


Mar 03, 2022
Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng

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* accepted by CVPR2022 

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Retriever: Learning Content-Style Representation as a Token-Level Bipartite Graph


Feb 24, 2022
Dacheng Yin, Xuanchi Ren, Chong Luo, Yuwang Wang, Zhiwei Xiong, Wenjun Zeng

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* Accepted to ICLR 2022. Project page at https://ydcustc.github.io/retriever-demo/ 

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