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Multiple-Person Tracking with Criss-Cross Attention and Deep Matching Conference paper
Liu Zhuoyang, ZHANG LIMING. Multiple-Person Tracking with Criss-Cross Attention and Deep Matching[C]:Institute of Electrical and Electronics Engineers Inc., 2023, 455-459.
Authors:  Liu Zhuoyang;  ZHANG LIMING
Favorite | TC[Scopus]:0 | Submit date:2023/12/11
Multi-object Tracking  Criss-cross Attention  Deep Feature  
Multi-Modal Fusion Object Tracking Based on Fully Convolutional Siamese Network Conference paper
Qi,Ke, Chen,Liji, Zhou,Yicong, Qi,Yutao. Multi-Modal Fusion Object Tracking Based on Fully Convolutional Siamese Network[C], United States:Association for Computing Machinery, 2023, 440-444.
Authors:  Qi,Ke;  Chen,Liji;  Zhou,Yicong;  Qi,Yutao
Favorite | TC[WOS]:0 TC[Scopus]:0 | Submit date:2023/08/03
Multi-modal Fusion  Object Tracking  Rgbt  Siamese Network  
Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking Journal article
Liu, Yi, Zhang, Liming, Chen, Zhihui, Yan, Yan, Wang, Hanzi. Multi-Stream Siamese and Faster Region-Based Neural Network for Real-Time Object Tracking[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 22(11), 7279-7292.
Authors:  Liu, Yi;  Zhang, Liming;  Chen, Zhihui;  Yan, Yan;  Wang, Hanzi
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:7.9/8.3 | Submit date:2021/12/08
Faster R-cnn  Instance Search  Multi-stream Siamese Network  Object Tracking  
Multi-Stream Siamese and Faster Region-based Convolutional Neural Network for Real-Time Object Tracking Journal article
Liu, Yi, Zhang, Liming, Chen, Zhihui, Yan, Yan, Wang, Hanzi. Multi-Stream Siamese and Faster Region-based Convolutional Neural Network for Real-Time Object Tracking[J]. IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2020, 22(11), 7279-7292.
Authors:  Liu, Yi;  Zhang, Liming;  Chen, Zhihui;  Yan, Yan;  Wang, Hanzi
Favorite | TC[WOS]:8 TC[Scopus]:12  IF:7.9/8.3 | Submit date:2022/07/27
Object Tracking  Instance Search  Multi-stream Siamese Network  Faster R-cnn  
Fast multi-object tracking using convolutional neural networks with tracklets updating Conference paper
Zhang Y., Tang Y., Fang B., Shang Z.. Fast multi-object tracking using convolutional neural networks with tracklets updating[C], 2018, 313-317.
Authors:  Zhang Y.;  Tang Y.;  Fang B.;  Shang Z.
Favorite | TC[WOS]:3 TC[Scopus]:6 | Submit date:2019/02/11
Deep Learning  Hungarian Algorithm  Kaiman Filter  Multi-object Tracking  
Fast Multi-Object Tracking Using Convolutional Neural Networks with Tracklets Updating Conference paper
Zhang, Yuanping, Tang, Yuanyan, Fang, Bin, Shang, Zhaowei, IEEE. Fast Multi-Object Tracking Using Convolutional Neural Networks with Tracklets Updating[C], 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE, 2017, 313-317.
Authors:  Zhang, Yuanping;  Tang, Yuanyan;  Fang, Bin;  Shang, Zhaowei;  IEEE
Favorite | TC[WOS]:3 TC[Scopus]:6 | Submit date:2018/10/30
Multi-object Tracking  Deep Learning  Kalman Filter  Hungarian Algorithm  
Connected Component Model for Multi-Object Tracking Journal article
Zhenyu He, Xin Li, Xinge You, Dacheng Tao, Yuan Yan Tang. Connected Component Model for Multi-Object Tracking[J]. IEEE Transactions on Image Processing, 2016, 25(8), 3698 - 3711.
Authors:  Zhenyu He;  Xin Li;  Xinge You;  Dacheng Tao;  Yuan Yan Tang
Favorite | TC[WOS]:123 TC[Scopus]:130  IF:10.8/12.1 | Submit date:2018/10/30
Connected Component Model (Ccm)  Data Association  Equivalence Relation  Multi-object Tracking