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CASIA OpenIR
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Visual Tracking via Spatially Aligned Correlation Filters Network 会议论文
, Munich, Germany, September 8, 2018 - September 14, 2018
作者:  Zhang, Mengdan;  Wang, Qiang;  Xing, Junliang;  Gao, Jin;  Peng, Peixi;  Hu, Weiming;  Maybank, Steve
Adobe PDF(1118Kb)  |  收藏  |  浏览/下载：5/1  |  提交时间：2024/06/21
ZoomTrack: Target-aware Non-uniform Resizing for Efficient Visual Tracking 会议论文
, New Orleans, United States, Sunday Dec 10 through Saturday Dec 16
作者:  Kou, Yutong;  Gao, Jin;  Li, Bing;  Wang, Gang;  Hu, Weiming;  Wang, Yizheng;  Li, Liang
Adobe PDF(2115Kb)  |  收藏  |  浏览/下载：7/3  |  提交时间：2024/06/21
Improving metric-based few-shot learning with dynamically scaled softmax loss 期刊论文
IMAGE AND VISION COMPUTING, 2023, 卷号: 140, 页码: 15
作者:  Zhang, Yu;  Zuo, Xin;  Zheng, Xuxu;  Gao, Xiaoyong;  Wang, Bo;  Hu, Weiming
收藏  |  浏览/下载：57/0  |  提交时间：2024/02/22
Few-shot learning  Metric-based learning framework  Softmax loss improvement  
Cascaded Decoding and Multi-Stage Inference for Spatio-Temporal Video Grounding 会议论文
, Lisbon, Portugal, 2022-10
作者:  Li Yang;  Peixuan Wu;  Chunfeng Yuan;  Bing Li;  Weiming Hu
Adobe PDF(1313Kb)  |  收藏  |  浏览/下载：166/44  |  提交时间：2023/07/06
Learning from the raw domain: cross modality distillation for compressed video action recognition 会议论文
, Rhodes, Greece, 2023.6
作者:  Yufan Liu;  Jiajiong Cao;  Weiming Bai;  Bing Li;  Weiming Hu
Adobe PDF(411Kb)  |  收藏  |  浏览/下载：326/99  |  提交时间：2023/05/06
Learning to predict salient faces: a novel visual-audio saliency model 会议论文
, Virtual conference, 2020.8.23-2020.8.28
作者:  Yufan Liu;  Minglang Qiao;  Mai Xu;  Bing Li;  Weiming Hu;  Ali Borji
Adobe PDF(4223Kb)  |  收藏  |  浏览/下载：109/14  |  提交时间：2023/05/06
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
作者:  Yufan Liu;  Jiajiong Cao;  Bing Li;  Weiming Hu;  Stephen Maybank
Adobe PDF(3314Kb)  |  收藏  |  浏览/下载：154/40  |  提交时间：2023/04/24
Multi-scale self-attention-based feature enhancement for detection of targets with small image sizes 期刊论文
PATTERN RECOGNITION LETTERS, 2023, 卷号: 166, 页码: 46-52
作者:  Deng, Ying;  Hu, Xingliang;  Li, Bing;  Zhang, Congxuan;  Hu, Weiming
收藏  |  浏览/下载：253/0  |  提交时间：2023/03/20
Detection of targets with small image sizes  Feature enhancement  Multi-scale combination Self-attention  
Narrowing the Gap: Improved Detector Training With Noisy Location Annotations 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2022, 卷号: 31, 页码: 6369-6380
作者:  Wang, Shaoru;  Gao, Jin;  Li, Bing;  Hu, Weiming
Adobe PDF(1489Kb)  |  收藏  |  浏览/下载：237/30  |  提交时间：2022/11/14
Annotations  Noise measurement  Detectors  Task analysis  Training  Object detection  Degradation  Object detection  noisy label  Bayesian estimation  teacher-student learning  
PDNet: Toward Better One-Stage Object Detection With Prediction Decoupling 期刊论文
IEEE Transactions on Image Processing, 2022, 卷号: 31, 页码: 5121-5133
作者:  Yang, Li;  Xu, Yan;  Wang, Shaoru;  Yuan, Chunfeng;  Zhang, Ziqi;  Li, Bing;  Hu, Weiming
Adobe PDF(3190Kb)  |  收藏  |  浏览/下载：290/38  |  提交时间：2022/09/19
Object detection  prediction decoupling  convolutional neural network