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On the Effects of Structural Modeling for Neural Semantic Parsing 会议论文
Proceedings of the 27th Conference on Computational Natural Language Learning (CoNLL), Singapore, Singapore, 2023-12
作者:  Zhang X(张翔);  He SZ(何世柱);  Liu K(刘康);  Zhao J(赵军)
Adobe PDF(730Kb)  |  收藏  |  浏览/下载：36/20  |  提交时间：2024/06/27
SOTVerse: A User-Defined Task Space of Single Object Tracking 期刊论文
International Journal of Computer Vision, 2023, 卷号: 132, 期号: 3, 页码: 1-59
作者:  Shiyu, Hu;  Xin, Zhao;  Kaiqi Huang
Adobe PDF(53048Kb)  |  收藏  |  浏览/下载：88/8  |  提交时间：2024/01/22
Single object tracking  Experimental environment  Evaluation system  Performance analysis  
Large sequence models for sequential decision-making: a survey 期刊论文
FRONTIERS OF COMPUTER SCIENCE, 2023, 卷号: 17, 期号: 6, 页码: 18
作者:  Wen, Muning;  Lin, Runji;  Wang, Hanjing;  Yang, Yaodong;  Wen, Ying;  Mai, Luo;  Wang, Jun;  Zhang, Haifeng;  Zhang, Weinan
Adobe PDF(1351Kb)  |  收藏  |  浏览/下载：154/5  |  提交时间：2023/11/17
sequential decision-making  sequence modeling  the Transformer  training system  
VLP: A Survey on Vision-language Pre-training 期刊论文
Machine Intelligence Research, 2023, 卷号: 20, 期号: 1, 页码: 38-56
作者:  Feilong Chen;  Duzhen Zhang;  Minglun Han;  Xiuyi Chen;  Jing Shi;  Shuang Xu;  Bo Xu
Adobe PDF(969Kb)  |  收藏  |  浏览/下载：177/34  |  提交时间：2023/06/21
BSTG-Trans: A Bayesian Spatial-Temporal Graph Transformer for Long-term Pose Forecasting 期刊论文
IEEE Transactions on Multimedia, 2023, 卷号: Early Access, 期号: Early Access, 页码: Early Access
作者:  Shentong Mo;  Xin M(辛淼)
Adobe PDF(2209Kb)  |  收藏  |  浏览/下载：107/21  |  提交时间：2023/04/25
long-term forecasting  spatial-temporal graph transformer  Bayesian transformer  uncertainty estimation  
Global Instance Tracking: Locating Target More Like Humans 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2023, 卷号: 45, 期号: 1, 页码: 576-592
作者:  Hu, Shiyu;  Zhao, Xin;  Huang, Lianghua;  Huang, Kaiqi
Adobe PDF(15055Kb)  |  收藏  |  浏览/下载：254/56  |  提交时间：2023/02/22
Global instance tracking  single object tracking  benchmark dataset  performance evaluation  human tracking ability