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ADAPT: Action-aware Driving Caption Transformer


Feb 01, 2023
Bu Jin, Xinyu Liu, Yupeng Zheng, Pengfei Li, Hao Zhao, Tong Zhang, Yuhang Zheng, Guyue Zhou, Jingjing Liu

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* Accepted to ICRA2023. Code: https://github.com/jxbbb/ADAPT 

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Correcting the Sub-optimal Bit Allocation


Oct 10, 2022
Tongda Xu, Han Gao, Yuanyuan Wang, Hongwei Qin, Yan Wang, Jingjing Liu, Ya-Qin Zhang

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Adversarial Contrastive Learning via Asymmetric InfoNCE


Jul 18, 2022
Qiying Yu, Jieming Lou, Xianyuan Zhan, Qizhang Li, Wangmeng Zuo, Yang Liu, Jingjing Liu

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* Accepted by ECCV 2022. Code is available at https://github.com/yqy2001/A-InfoNCE 

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Distance-Sensitive Offline Reinforcement Learning


May 23, 2022
Jianxiong Li, Xianyuan Zhan, Haoran Xu, Xiangyu Zhu, Jingjing Liu, Ya-Qin Zhang

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* 29 pages, 14 figures, preprint 

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TVT: Transferable Vision Transformer for Unsupervised Domain Adaptation


Aug 12, 2021
Jinyu Yang, Jingjing Liu, Ning Xu, Junzhou Huang

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* 9 pages 

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VALUE: A Multi-Task Benchmark for Video-and-Language Understanding Evaluation


Jun 08, 2021
Linjie Li, Jie Lei, Zhe Gan, Licheng Yu, Yen-Chun Chen, Rohit Pillai, Yu Cheng, Luowei Zhou, Xin Eric Wang, William Yang Wang, Tamara Lee Berg, Mohit Bansal, Jingjing Liu, Lijuan Wang, Zicheng Liu

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* VALUE is available at https://value-leaderboard.github.io/ 

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Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models


Jun 01, 2021
Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu

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Playing Lottery Tickets with Vision and Language


Apr 23, 2021
Zhe Gan, Yen-Chun Chen, Linjie Li, Tianlong Chen, Yu Cheng, Shuohang Wang, Jingjing Liu

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CUPID: Adaptive Curation of Pre-training Data for Video-and-Language Representation Learning


Apr 13, 2021
Luowei Zhou, Jingjing Liu, Yu Cheng, Zhe Gan, Lei Zhang

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* 12 pages, 4 figures 

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