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Individualized brain mapping for navigated neuromodulation 期刊论文
Chinese Medical Journal, 2024, 卷号: 137, 期号: 5, 页码: 508-523
作者:  Chaohong Gao;  Xia Wu;  Xinle Cheng;  Kristoffer Hougaard Madsen;  Congying Chu;  Zhengyi Yang;  Lingzhong Fan
Adobe PDF(6810Kb)  |  收藏  |  浏览/下载：53/20  |  提交时间：2024/05/28
Brain atlas  Individualization  Navigated neuromodulation  Multimodal magnetic resonance imaging  Transcranial magnetic stimulation  Deep brain stimulation  
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
作者:  Feng, Shihao;  Liang, Pengpeng;  Gao, Jin;  Cheng, Erkang
Adobe PDF(2745Kb)  |  收藏  |  浏览/下载：136/12  |  提交时间：2023/12/21
3D object tracking  Point cloud  Transformer  
Game Starts at GameStop: Characterizing the Collective Behaviors and Social Dynamics in the Short Squeeze Episode 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 14
作者:  Zheng, Xiaolong;  Tian, Hu;  Wan, Zhe;  Wang, Xiao;  Zeng, Daniel Dajun;  Wang, Fei-Yue
Adobe PDF(8005Kb)  |  收藏  |  浏览/下载：262/26  |  提交时间：2022/01/27
Social networking (online)  Dictionaries  Stock markets  Investment  Games  Analytical models  Market research  Dynamic interaction network  financial market  GameStop  short squeeze  social network analysis  
EDP: An Efficient Decomposition and Pruning Scheme for Convolutional Neural Network Compression 期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4499-4513
作者:  Ruan, Xiaofeng;  Liu, Yufan;  Yuan, Chunfeng;  Li, Bing;  Hu, Weiming;  Li, Yangxi;  Maybank, Stephen
Adobe PDF(3625Kb)  |  收藏  |  浏览/下载：359/49  |  提交时间：2021/06/17
Data-driven  low-rank decomposition  model compression and acceleration  structured pruning  
Distractor-aware discrimination learning for online multiple object tracking 期刊论文
PATTERN RECOGNITION, 2020, 期号: 107, 页码: 10
作者:  Zhou, Zongwei;  Luo, Wenhan;  Wang, Qiang;  Xing, Junliang;  Hu, Weiming
Adobe PDF(840Kb)  |  收藏  |  浏览/下载：436/123  |  提交时间：2020/08/31
Multi-object tracking  Distractor-aware discrimination learning  Relational attention learning  
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:  Gao, Jin;  Wang, Qiang;  Xing, Junliang;  Ling, Haibin;  Hu, Weiming;  Maybank, Stephen
Adobe PDF(4458Kb)  |  收藏  |  浏览/下载：334/17  |  提交时间：2020/06/02
Task analysis  Correlation  Target tracking  Probability distribution  Visualization  Collaboration  Visual tracking  Gaussian processes  correlation filters  transfer learning  tracking-by-fusion  
Discriminating schizophrenia using recurrent neural network applied on time courses of multi-site FMRI data 期刊论文
EBIOMEDICINE, 2019, 卷号: 47, 页码: 543-552
作者:  Yan, Weizheng;  Calhoun, Vince;  Song, Ming;  Cui, Yue;  Yan, Hao;  Liu, Shengfeng;  Fan, Lingzhong;  Zuo, Nianming;  Yang, Zhengyi;  Xu, Kaibin;  Yan, Jun;  Lv, Luxian;  Chen, Jun;  Chen, Yunchun;  Guo, Hua;  Li, Peng;  Lu, Lin;  Wan, Ping;  Wang, Huaning;  Wang, Huiling;  Yang, Yongfeng;  Zhang, Hongxing;  Zhang, Dai;  Jiang, Tianzi;  Sui, Jing
Adobe PDF(2166Kb)  |  收藏  |  浏览/下载：453/76  |  提交时间：2019/12/16
Recurrent neural network (RNN)  Schizophrenia  Multi-site classification  fMRI  Striatum  Cerebellum  Deep learning  
Efficient and robust large-scale structure-from-motion via track selection and camera prioritization 期刊论文
ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, 2019, 卷号: 156, 页码: 202-214
作者:  Cui, Hainan;  Shen, Shuhan;  Gao, Wei;  Liu, Hongmin;  Wang, Zhiheng
浏览  |  Adobe PDF(7575Kb)  |  收藏  |  浏览/下载：482/157  |  提交时间：2019/09/30
Image-based modeling  Structure-from-motion  Track selection  Rotation averaging  Camera prioritization  
Adversarial Deep Tracking 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 卷号: 29, 期号: 7, 页码: 1998-2011
作者:  Zhao, Fei;  Wang, Jinqiao;  Wu, Yi;  Tang, Ming
浏览  |  Adobe PDF(6455Kb)  |  收藏  |  浏览/下载：341/116  |  提交时间：2019/04/30
Visual tracking  deep learning  adversarial training  attention