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Multi-Correlation Siamese Transformer Network With Dense Connection for 3D Single Object Tracking 期刊论文
IEEE ROBOTICS AND AUTOMATION LETTERS, 2023, 卷号: 8, 期号: 12, 页码: 8066-8073
Authors:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
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3D object tracking  Point cloud  Transformer  
A Closer Look at Self-Supervised Lightweight Vision Transformers 会议论文
, Honolulu, Hawaii, USA, 2023-7
Authors:  Wang, Shaoru;  Gao, Jin;  Li, Zeming;  Zhang, Xiaoqin;  Weiming, Hu
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Vision Transformer  Self-supervised Learning  Lightweight Networks  Knowledge Distillation  
RDSNet: A New Deep Architecture for Reciprocal Object Detection and Instance Segmentation 会议论文
, New York, 2020-2
Authors:  Wang, Shaoru;  Gong, Yongchao;  Xing, Junliang;  Huang, Lichao;  Huang, Chang;  Hu, Weiming
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目标检测  实例分割  
Cascaded Decoding and Multi-Stage Inference for Spatio-Temporal Video Grounding 会议论文
, Lisbon, Portugal, 2022-10
Authors:  Li Yang;  Peixuan Wu;  Chunfeng Yuan;  Bing Li;  Weiming Hu
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Improving Visual Grounding With Visual-Linguistic Verification and Iterative Reasoning 会议论文
, New Orleans, Louisiana, 2022-6
Authors:  Li Yang;  Yan Xu;  Chunfeng Yuan;  Wei Liu;  Bing Li;  Weiming Hu
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Learning from the raw domain: cross modality distillation for compressed video action recognition 会议论文
, Rhodes, Greece, 2023.6
Authors:  Yufan Liu;  Jiajiong Cao;  Weiming Bai;  Bing Li;  Weiming Hu
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Learning to predict salient faces: a novel visual-audio saliency model 会议论文
, Virtual conference, 2020.8.23-2020.8.28
Authors:  Yufan Liu;  Minglang Qiao;  Mai Xu;  Bing Li;  Weiming Hu;  Ali Borji
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TranSkeleton: Hierarchical Spatial-Temporal Transformer for Skeleton-Based Action Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2023, 页码: 1-12
Authors:  Haowei Liu;  Yongcheng Liu;  Yuxin Chen;  Chunfeng Yuan;  Bing Li;  Weiming Hu
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Learning Video-Text Aligned Representations for Video Captioning 期刊论文
ACM Trans. Multimedia Comput. Commun. Appl., 2023, 页码: 1-21
Authors:  Yaya Shi;  Haiyang Xu;  Chunfeng Yuan;  Bing Li;  Weiming Hu,;  Zhengjun Zha
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Learning to Explore Distillability and Sparsability: A Joint Framework for Model Compression 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence (T-PAMI), 2022, 卷号: 45, 期号: 3, 页码: 3378-3395
Authors:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
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