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Ming Tang 0001

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affiliation: Chinese Academy of Sciences, National Laboratory of Pattern Recognition, Beijing, China
affiliation: Shenzhen Infinova Limited, Shenzhen, China

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2025
[j40]
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Bingke Zhu, Zhaopeng Gu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
ADFormer: Generalizable Few-Shot Anomaly Detection With Dual CNN-Transformer Architecture. IEEE Trans. Instrum. Meas. 74: 1-16 (2025)
2024
[j39]
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Zhaowen Li, Yousong Zhu, Zhiyang Chen, Wei Li, Rui Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Efficient Masked Autoencoders With Self-Consistency. IEEE Trans. Pattern Anal. Mach. Intell. 46(12): 8743-8757 (2024)
[j38]
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Manli Tao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Objformer: Boosting 3D object detection via instance-wise interaction. Pattern Recognit. 146: 110061 (2024)
[j37]
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Manli Tao, Chaoyang Zhao, Jinqiao Wang, Ming Tang:
ImFusion: Boosting Two-Stage 3D Object Detection via Image Candidates. IEEE Signal Process. Lett. 31: 241-245 (2024)
[j36]
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Haixin Wang, Lu Zhou, Yingying Chen, Zhiyang Chen, Ming Tang, Jinqiao Wang:
EFCPose: End-to-End Multi-Person Pose Estimation With Fully Convolutional Heads. IEEE Trans. Circuits Syst. Video Technol. 34(7): 6039-6050 (2024)
[j35]
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Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
Pixel-Level Contrastive Pretrainer for Industrial Image Representation. IEEE Trans. Instrum. Meas. 73: 1-13 (2024)
[j34]
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Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Jing Liu, Jinqiao Wang, Ming Tang:
AAformer: Auto-Aligned Transformer for Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 35(12): 17307-17317 (2024)
2023
[j33]
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Nanfei Jiang, Xu Zhao, Chaoyang Zhao, Yongqi An, Ming Tang, Jinqiao Wang:
Pruning-aware Sparse Regularization for Network Pruning. Int. J. Autom. Comput. 20(1): 109-120 (2023)
[j32]
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Wei Li, Haiyun Guo, Honghui Dong, Ming Tang, Yue Zhou, Jinqiao Wang:
Bi-Level Implicit Semantic Data Augmentation for Vehicle Re-Identification. IEEE Trans. Intell. Transp. Syst. 24(4): 4364-4376 (2023)
[j31]
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Xiaomei Zhang, Yingying Chen, Ming Tang, Jinqiao Wang, Xiangyu Zhu, Zhen Lei:
Human Parsing With Part-Aware Relation Modeling. IEEE Trans. Multim. 25: 2601-2612 (2023)
[j30]
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Kuan Zhu, Haiyun Guo, Songyan Liu, Jinqiao Wang, Ming Tang:
Learning Semantics-Consistent Stripes With Self-Refinement for Person Re-Identification. IEEE Trans. Neural Networks Learn. Syst. 34(11): 8531-8542 (2023)
2022
[j29]
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Bin Yu, Ming Tang, Guibo Zhu, Jinqiao Wang, Hanqing Lu:
Dynamic Orthogonal Projection Constrained Discriminative Tracking. IEEE Signal Process. Lett. 29: 652-656 (2022)
[j28]
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Xiaomei Zhang, Yingying Chen, Ming Tang, Zhen Lei, Jinqiao Wang:
Grammar-Induced Wavelet Network for Human Parsing. IEEE Trans. Image Process. 31: 4502-4514 (2022)
[j27]
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Mingfei Tu, Kuan Zhu, Haiyun Guo, Qinghai Miao, Chaoyang Zhao, Guibo Zhu, Honglin Qiao, Gaopan Huang, Ming Tang, Jinqiao Wang:
Multi-Granularity Mutual Learning Network for Object Re-Identification. IEEE Trans. Intell. Transp. Syst. 23(9): 15178-15189 (2022)
2021
[j26]
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Songyan Liu, Haiyun Guo, Kuan Zhu, Jinqiao Wang, Ming Tang:
Unsupervised cycle-consistent person pose transfer. Neurocomputing 453: 502-511 (2021)
[j25]
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Bin Yu, Ming Tang, Guibo Zhu, Jinqiao Wang, Hanqing Lu:
Enhanced Bounding Box Estimation with Distribution Calibration for Visual Tracking. Sensors 21(23): 8100 (2021)
[j24]
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Fei Zhao, Ting Zhang, Yibing Song, Ming Tang, Xiaobo Wang, Jinqiao Wang:
Siamese Regression Tracking With Reinforced Template Updating. IEEE Trans. Image Process. 30: 628-640 (2021)
[j23]
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Fei Zhao, Ting Zhang, Yi Wu, Ming Tang, Jinqiao Wang:
Antidecay LSTM for Siamese Tracking With Adversarial Learning. IEEE Trans. Neural Networks Learn. Syst. 32(10): 4475-4489 (2021)
2020
[j22]
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Linyu Zheng, Yingying Chen, Ming Tang, Jinqiao Wang, Hanqing Lu:
Siamese Deformable Cross-Correlation Network for Real-Time Visual Tracking. Neurocomputing 401: 36-47 (2020)
[j21]
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Songyan Liu, Haiyun Guo, Jian-Guo Hu, Xu Zhao, Chaoyang Zhao, Tong Wang, Yousong Zhu, Jinqiao Wang, Ming Tang:
A novel data augmentation scheme for pedestrian detection with attribute preserving GAN. Neurocomputing 401: 123-132 (2020)
[j20]
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Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang:
Semantic-spatial fusion network for human parsing. Neurocomputing 402: 375-383 (2020)
[j19]
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Jinqiao Wang, Linyu Zheng, Ming Tang, Jiayi Feng:
A Comparison of Correlation Filter-Based Trackers and Struck Trackers. IEEE Trans. Circuits Syst. Video Technol. 30(9): 3106-3118 (2020)
2019
[j18]
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Songyan Liu, Chaoyang Zhao, Yunze Gao, Jinqiao Wang, Ming Tang:
Adversarial image generation by combining content and style. IET Image Process. 13(14): 2716-2723 (2019)
[j17]
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Xu Zhao, Chaoyang Zhao, Haiyun Guo, Yousong Zhu, Ming Tang, Jinqiao Wang:
Elite Loss for scene text detection. Neurocomputing 333: 284-291 (2019)
[j16]
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Yunze Gao, Yingying Chen, Jinqiao Wang, Ming Tang, Hanqing Lu:
Reading scene text with fully convolutional sequence modeling. Neurocomputing 339: 161-170 (2019)
[j15]
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Xu Zhao, Xiaoqing Liang, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Real-Time Multi-Scale Face Detector on Embedded Devices. Sensors 19(9): 2158 (2019)
[j14]
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Fei Zhao, Jinqiao Wang, Yi Wu, Ming Tang:
Adversarial Deep Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(7): 1998-2011 (2019)
[j13]
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Yingying Chen, Jinqiao Wang, Bingke Zhu, Ming Tang, Hanqing Lu:
Pixelwise Deep Sequence Learning for Moving Object Detection. IEEE Trans. Circuits Syst. Video Technol. 29(9): 2567-2579 (2019)
[j12]
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Haiyun Guo, Kuan Zhu, Ming Tang, Jinqiao Wang:
Two-Level Attention Network With Multi-Grain Ranking Loss for Vehicle Re-Identification. IEEE Trans. Image Process. 28(9): 4328-4338 (2019)
2018
[j11]
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Fei Zhao, Ting Zhang, Yi Wu, Jinqiao Wang, Ming Tang:
Domain Adaptation Tracker With Global and Local Searching. IEEE Access 6: 42997-43008 (2018)
2017
[j10]
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Ting Zhang, Qiulei Dong, Ming Tang, Zhanyi Hu:
Two-Stream Deep Correlation Network for Frontal Face Recovery. IEEE Signal Process. Lett. 24(10): 1478-1482 (2017)
[j9]
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Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang:
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey. IEEE Trans. Intell. Transp. Syst. 18(1): 25-48 (2017)
2015
[j8]
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Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang:
Hierarchical and Networked Vehicle Surveillance in ITS: A Survey. IEEE Trans. Intell. Transp. Syst. 16(2): 557-580 (2015)
2014
[j7]
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Yancheng Bai, Ming Tang:
Robust visual tracking via augmented kernel SVM. Image Vis. Comput. 32(8): 465-475 (2014)
[j6]
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Yancheng Bai, Ming Tang:
Object Tracking via Robust Multitask Sparse Representation. IEEE Signal Process. Lett. 21(8): 909-913 (2014)
2012
[j5]
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Ming Tang, Xi Peng:
Robust Tracking With Discriminative Ranking Lists. IEEE Trans. Image Process. 21(7): 3273-3281 (2012)
2004
[j4]
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Zhenfeng Zhu, Ming Tang, Hanqing Lu:
A new robust circular Gabor based object matching by using weighted Hausdorff distance. Pattern Recognit. Lett. 25(4): 515-523 (2004)
2002
[j3]
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Ming Tang, Songde Ma:
Corrections to "General Scheme of Region Competition Based on Scale Space". IEEE Trans. Pattern Anal. Mach. Intell. 24(7): 1007 (2002)
2001
[j2]
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Ming Tang, Songde Ma:
General Scheme of Region Competition Based on Scale Space. IEEE Trans. Pattern Anal. Mach. Intell. 23(12): 1366-1378 (2001)
2000
[j1]
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Ming Tang, Songde Ma, Jing Xiao:
Model-based adaptive enhancement of far infrared image sequences. Pattern Recognit. Lett. 21(9): 827-835 (2000)

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2025
[c75]
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Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Systematic Outliers in Large Language Models. ICLR 2025
2024
[c74]
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models. AAAI 2024: 1932-1940
[c73]
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Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Fluctuation-Based Adaptive Structured Pruning for Large Language Models. AAAI 2024: 10865-10873
[c72]
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Tao Yu, Xu Zhao, Yongqi An, Ming Tang, Jinqiao Wang:
Knowledge Distillation Dealing with Sample-Wise Long-Tail Problem. ACCV (10) 2024: 411-427
[c71]
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Zhaowen Li, Yousong Zhu, Zhiyang Chen, Zongxin Gao, Rui Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Self-Supervised Representation Learning from Arbitrary Scenarios. CVPR 2024: 22967-22977
[c70]
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Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. ECCV Workshops (17) 2024: 290-306
[c69]
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Yufei Zhan, Yousong Zhu, Zhiyang Chen, Fan Yang, Ming Tang, Jinqiao Wang:
Griffon: Spelling Out All Object Locations at Any Granularity with Large Language Models. ECCV (42) 2024: 405-422
[c68]
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Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang:
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models. EMNLP 2024: 3254-3266
[c67]
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Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang:
BFRFormer: Transformer-Based Generator for Real-World Blind Face Restoration. ICASSP 2024: 3700-3704
[c66]
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Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Chaoyang Zhao, Jinqiao Wang, Ming Tang:
The Devil is in Details: Delving Into Lite FFN Design for Vision Transformers. ICASSP 2024: 4130-4134
[c65]
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Hao Li, Ming Tang, Jinqiao Wang:
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization. ACM Multimedia 2024: 2041-2049
2023
[c64]
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Yongqi An, Xu Zhao, Tao Yu, Haiyun Gu, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
ZBS: Zero-Shot Background Subtraction via Instance-Level Background Modeling and Foreground Selection. CVPR 2023: 6355-6364
[c63]
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Zhaowen Li, Xu Zhao, Peigeng Ding, Zongxing Gao, Yuting Yang, Ming Tang, Jinqiao Wang:
FreConv: Frequency Branch-and-Integration Convolutional Networks. ICME 2023: 258-263
[c62]
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Jinyi Fang, Bingke Zhu, Yingying Chen, Jinqiao Wang, Ming Tang:
Explicit Attention Modeling for Pedestrian Attribute Recognition. ICME 2023: 2075-2080
2022
[c61]
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Tong Wang, Yousong Zhu, Yingying Chen, Chaoyang Zhao, Bin Yu, Jinqiao Wang, Ming Tang:
C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection. CVPR 2022: 6970-6979
[c60]
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Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang:
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training. CVPR 2022: 14607-14616
[c59]
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Haixin Wang, Lu Zhou, Yingying Chen, Ming Tang, Jinqiao Wang:
Regularizing Vector Embedding in Bottom-Up Human Pose Estimation. ECCV (6) 2022: 107-122
[c58]
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Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang:
PASS: Part-Aware Self-Supervised Pre-Training for Person Re-Identification. ECCV (14) 2022: 198-214
[c57]
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Zhaowen Li, Xu Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Transfering Low-Frequency Features for Domain Adaptation. ICME 2022: 1-6
[c56]
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Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang:
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks. NeurIPS 2022
[c55]
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Manli Tao, Chaoyang Zhao, Jinqiao Wang, Ming Tang:
Global Patch Cross-Attention for Point Cloud Analysis. PRCV (3) 2022: 96-111
2021
[c54]
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Fei Xia, Hu Song, Ming Tang, Lijun Wang, Jing Wan:
Research on Hidden Danger Risk Perception Technology Based on Big Data. CONF-CDS 2021: 149:1-149:5
[c53]
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Linyu Zheng, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang, Hanqing Lu:
Improving Multiple Object Tracking With Single Object Tracking. CVPR 2021: 2453-2462
[c52]
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Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang:
Adaptive Class Suppression Loss for Long-Tail Object Detection. CVPR 2021: 3103-3112
[c51]
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Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu:
High-Performance Discriminative Tracking with Transformers. ICCV 2021: 9836-9845
[c50]
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Tong Wang, Yousong Zhu, Chaoyang Zhao, Xu Zhao, Jinqiao Wang, Ming Tang:
Attention-Guided Knowledge Distillation for Efficient Single-Stage Detector. ICME 2021: 1-6
[c49]
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Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang:
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation. ACM Multimedia 2021: 1976-1984
[c48]
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Zhiyang Chen, Yousong Zhu, Chaoyang Zhao, Guosheng Hu, Wei Zeng, Jinqiao Wang, Ming Tang:
DPT: Deformable Patch-based Transformer for Visual Recognition. ACM Multimedia 2021: 2899-2907
[c47]
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Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang:
MST: Masked Self-Supervised Transformer for Visual Representation. NeurIPS 2021: 13165-13176
[c46]
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Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hanqing Lu:
High-Performance Discriminative Tracking with Target-Aware Feature Embeddings. PRCV (1) 2021: 3-15
[c45]
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Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang:
Fast Kernelized Correlation Filter without Boundary Effect. WACV 2021: 2998-3007
2020
[c44]
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Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang:
Part-Aware Context Network for Human Parsing. CVPR 2020: 8968-8977
[c43]
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Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang:
Blended Grammar Network for Human Parsing. ECCV (24) 2020: 189-205
[c42]
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Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang:
Identity-Guided Human Semantic Parsing for Person Re-identification. ECCV (3) 2020: 346-363
[c41]
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Xin Wen, Biying Li, Haiyun Guo, Zhiwei Liu, Guosheng Hu, Ming Tang, Jinqiao Wang:
Adaptive Variance Based Label Distribution Learning for Facial Age Estimation. ECCV (23) 2020: 379-395
[c40]
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Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Yaowei Wang, Jinqiao Wang, Ming Tang:
Large Batch Optimization for Object Detection: Training COCO in 12 minutes. ECCV (21) 2020: 481-496
[c39]
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Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu:
Learning Feature Embeddings for Discriminant Model Based Tracking. ECCV (15) 2020: 759-775
[c38]
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Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu:
High-Speed And Accurate Scale Estimation For Visual Tracking With Gaussian Process Regression. ICME 2020: 1-6
[c37]
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Tianyi Yan, Haiyun Guo, Songyan Liu, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Unsupervised Domain Adaptive Re-Identification with Feature Adversarial Learning and Self-similarity Clustering. ICPR Workshops (4) 2020: 20-35
[c36]
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Fei Zhao, Ting Zhang, Chao Ma, Ming Tang, Jinqiao Wang, Xiaobo Wang:
Siamese Attentive Graph Tracking. ACM Multimedia 2020: 1542-1550
[c35]
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Xiaoqing Liang, Xu Zhao, Chaoyang Zhao, Nanfei Jiang, Ming Tang, Jinqiao Wang:
Task Decoupled Knowledge Distillation For Lightweight Face Detectors. ACM Multimedia 2020: 2184-2192
2019
[c34]
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Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang:
Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. CVPR 2019: 3467-3476
[c33]
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Zhiwei Liu, Ming Tang, Guosheng Hu, Jinqiao Wang:
Learning Discriminative and Complementary Patches for Face Recognition. FG 2019: 1-7
[c32]
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Linyu Zheng, Ming Tang, Yingying Chen, Jinqiao Wang, Hanqing Lu:
Fast-deepKCF Without Boundary Effect. ICCV 2019: 4019-4028
[c31]
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Matej Kristan, Amanda Berg, Linyu Zheng, Litu Rout, Luc Van Gool, Luca Bertinetto, Martin Danelljan, Matteo Dunnhofer, Meng Ni, Min Young Kim, Ming Tang, Ming-Hsuan Yang, Abdelrahman Eldesokey, Naveen Paluru, Niki Martinel, Pengfei Xu, Pengfei Zhang, Pengkun Zheng, Pengyu Zhang, Philip H. S. Torr, Qi Zhang, Qiang Wang, Qing Guo, Radu Timofte, Jani Käpylä, Rama Krishna Sai Subrahmanyam Gorthi, Richard M. Everson, Ruize Han, Ruohan Zhang, Shan You, Shao-Chuan Zhao, Shengwei Zhao, Shihu Li, Shikun Li, Shiming Ge, Gustavo Fernández, Shuai Bai, Shuosen Guan, Tengfei Xing, Tianyang Xu, Tianyu Yang, Ting Zhang, Tomás Vojír, Wei Feng, Weiming Hu, Weizhao Wang, Abel Gonzalez-Garcia, Wenjie Tang, Wenjun Zeng, Wenyu Liu, Xi Chen, Xi Qiu, Xiang Bai, Xiao-Jun Wu, Xiaoyun Yang, Xier Chen, Xin Li, Alireza Memarmoghadam, Xing Sun, Xingyu Chen, Xinmei Tian, Xu Tang, Xuefeng Zhu, Yan Huang, Yanan Chen, Yanchao Lian, Yang Gu, Yang Liu, Andong Lu, Yanjie Chen, Yi Zhang, Yinda Xu, Yingming Wang, Yingping Li, Yu Zhou, Yuan Dong, Yufei Xu, Yunhua Zhang, Yunkun Li, Anfeng He, Zeyu Wang, Zhao Luo, Zhaoliang Zhang, Zhenhua Feng, Zhenyu He, Zhichao Song, Zhihao Chen, Zhipeng Zhang, Zhirong Wu, Zhiwei Xiong, Zhongjian Huang, Anton Varfolomieiev, Zhu Teng, Zihan Ni, Antoni B. Chan, Jirí Matas, Ardhendu Shekhar Tripathi, Arnold W. M. Smeulders, Bala Suraj Pedasingu, Bao Xin Chen, Baopeng Zhang, Baoyuan Wu, Bi Li, Bin He, Bin Yan, Bing Bai, Ales Leonardis, Bing Li, Bo Li, Byeong Hak Kim, Chao Ma, Chen Fang, Chen Qian, Cheng Chen, Chenglong Li, Chengquan Zhang, Chi-Yi Tsai, Michael Felsberg, Chong Luo, Christian Micheloni, Chunhui Zhang, Dacheng Tao, Deepak Gupta, Dejia Song, Dong Wang, Efstratios Gavves, Eunu Yi, Fahad Shahbaz Khan, Roman P. Pflugfelder, Fangyi Zhang, Fei Wang, Fei Zhao, George De Ath, Goutam Bhat, Guangqi Chen, Guangting Wang, Guoxuan Li, Hakan Cevikalp, Hao Du, Joni-Kristian Kämäräinen, Haojie Zhao, Hasan Saribas, Ho Min Jung, Hongliang Bai, Hongyuan Yu, Houwen Peng, Huchuan Lu, Hui Li, Jiakun Li, Luka Cehovin Zajc, Jianhua Li, Jianlong Fu, Jie Chen, Jie Gao, Jie Zhao, Jin Tang, Jing Li, Jingjing Wu, Jingtuo Liu, Jinqiao Wang, Ondrej Drbohlav, Jinqing Qi, Jinyue Zhang, John K. Tsotsos, Jong Hyuk Lee, Joost van de Weijer, Josef Kittler, Jun Ha Lee, Junfei Zhuang, Kangkai Zhang, Kangkang Wang, Alan Lukezic, Kenan Dai, Lei Chen, Lei Liu, Leida Guo, Li Zhang, Liang Wang, Liangliang Wang, Lichao Zhang, Lijun Wang, Lijun Zhou:
The Seventh Visual Object Tracking VOT2019 Challenge Results. ICCV Workshops 2019: 2206-2241
[c30]
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Lu Zhou, Yingying Chen, Jinqiao Wang, Ming Tang, Hanqing Lu:
Bi-Directional Message Passing Based Scanet for Human Pose Estimation. ICME 2019: 1048-1053
2018
[c29]
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Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
Progressive Cognitive Human Parsing. AAAI 2018: 7607-7614
[c28]
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Xu Zhao, Chaoyang Zhao, Yousong Zhu, Ming Tang, Jinqiao Wang:
Improved Single Shot Object Detector Using Enhanced Features and Predicting Heads. BigMM 2018: 1-5
[c27]
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Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang:
High-Speed Tracking With Multi-Kernel Correlation Filters. CVPR 2018: 4874-4883
[c26]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed S. Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53
[c25]
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Yunze Gao, Yingying Chen, Jinqiao Wang, Ming Tang, Hanqing Lu:
Dense Chained Attention Network for Scene Text Recognition. ICIP 2018: 679-683
[c24]
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Xiaomei Zhang, Yingying Chen, Bingke Zhu, Jinqiao Wang, Ming Tang, Hanqing Lu:
Tree Hierarchical CNNs for Object Parsing. ICIP 2018: 1588-1592
[c23]
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Linyu Zheng, Ming Tang, Jinqiao Wang:
Learning Robust Gaussian Process Regression for Visual Tracking. IJCAI 2018: 1219-1225
2017
[c22]
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Xu Zhao, Yingying Chen, Ming Tang, Jinqiao Wang:
Joint background reconstruction and foreground segmentation via a two-stage convolutional neural network. ICME 2017: 343-348
[c21]
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Fei Zhao, Ming Tang, Yi Wu, Jinqiao Wang:
DenseTracker: A multi-task dense network for visual tracking. ICME 2017: 607-612
[c20]
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Bingke Zhu, Yingying Chen, Jinqiao Wang, Si Liu, Bo Zhang, Ming Tang:
Fast Deep Matting for Portrait Animation on Mobile Phone. ACM Multimedia 2017: 297-305
2016
[c19]
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Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin, Tomás Vojír, Gustav Häger, Alan Lukezic, Gustavo Fernández, Abhinav Gupta, Alfredo Petrosino, Alireza Memarmoghadam, Álvaro García-Martín, Andrés Solís Montero, Andrea Vedaldi, Andreas Robinson, Andy Jinhua Ma, Anton Varfolomieiev, A. Aydin Alatan, Aykut Erdem, Bernard Ghanem, Bin Liu, Bohyung Han, Brais Martínez, Chang-Ming Chang, Changsheng Xu, Chong Sun, Daijin Kim, Dapeng Chen, Dawei Du, Deepak Mishra, Dit-Yan Yeung, Erhan Gundogdu, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Giorgio Roffo, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Guna Seetharaman, Henry Medeiros, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Huchuan Lu, Hyemin Lee, Hyeonseob Nam, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jae-chan Jeong, Jaeil Cho, Jae-Yeong Lee, Jianke Zhu, Jiayi Feng, Jin Gao, Jin Young Choi, Jingjing Xiao, Ji-Wan Kim, Jiyeoup Jeong, João F. Henriques, Jochen Lang, Jongwon Choi, José M. Martínez, Junliang Xing, Junyu Gao, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Lei Qin, Lijun Wang, Longyin Wen, Luca Bertinetto, Madan Kumar Rapuru, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Matthias Mueller, Mengdan Zhang, Michael Arens, Michel F. Valstar, Ming Tang, Mooyeol Baek, Muhammad Haris Khan, Naiyan Wang, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Payman Moallem, Pedro Senna, Philip H. S. Torr, Pong C. Yuen, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Rustam Stolkin, Ryan Walsh, Sebastian Bernd Krah, Shengkun Li, Shengping Zhang, Shizeng Yao, Simon Hadfield, Simone Melzi, Siwei Lyu, Siyi Li, Stefan Becker, Stuart Golodetz, Sumithra Kakanuru, Sunglok Choi, Tao Hu, Thomas Mauthner, Tianzhu Zhang, Tony P. Pridmore, Vincenzo Santopietro, Weiming Hu, Wenbo Li, Wolfgang Hübner, Xiangyuan Lan, Xiaomeng Wang, Xin Li, Yang Li, Yiannis Demiris, Yifan Wang, Yuankai Qi, Zejian Yuan, Zexiong Cai, Zhan Xu, Zhenyu He, Zhizhen Chi:
The Visual Object Tracking VOT2016 Challenge Results. ECCV Workshops (2) 2016: 777-823
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Michael Felsberg, Matej Kristan, Jiri Matas, Ales Leonardis, Roman P. Pflugfelder, Gustav Häger, Amanda Berg, Abdelrahman Eldesokey, Jörgen Ahlberg, Luka Cehovin, Tomás Vojír, Alan Lukezic, Gustavo Fernández, Alfredo Petrosino, Álvaro García-Martín, Andrés Solís Montero, Anton Varfolomieiev, Aykut Erdem, Bohyung Han, Chang-Ming Chang, Dawei Du, Erkut Erdem, Fahad Shahbaz Khan, Fatih Porikli, Fei Zhao, Filiz Bunyak, Francesco Battistone, Gao Zhu, Guna Seetharaman, Hongdong Li, Honggang Qi, Horst Bischof, Horst Possegger, Hyeonseob Nam, Jack Valmadre, Jianke Zhu, Jiayi Feng, Jochen Lang, José M. Martínez, Kannappan Palaniappan, Karel Lebeda, Ke Gao, Krystian Mikolajczyk, Longyin Wen, Luca Bertinetto, Mahdieh Poostchi, Mario Edoardo Maresca, Martin Danelljan, Michael Arens, Ming Tang, Mooyeol Baek, Nana Fan, Noor Al-Shakarji, Ondrej Miksik, Osman Akin, Philip H. S. Torr, Qingming Huang, Rafael Martin Nieto, Rengarajan Pelapur, Richard Bowden, Robert Laganière, Sebastian Bernd Krah, Shengkun Li, Shizeng Yao, Simon Hadfield, Siwei Lyu, Stefan Becker, Stuart Golodetz, Tao Hu, Thomas Mauthner, Vincenzo Santopietro, Wenbo Li, Wolfgang Hübner, Xin Li, Yang Li, Zhan Xu, Zhenyu He:
The Thermal Infrared Visual Object Tracking VOT-TIR2016 Challenge Results. ECCV Workshops (2) 2016: 824-849
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Dai Zhang, Hanyang Peng, Jinqiao Wang, Ming Tang, Rong Xue, Zhentao Zuo:
Natural image classification driven by human brain activity. Biomedical Applications in Molecular, Structural, and Functional Imaging 2016: 97881L
2015
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Ming Tang, Jiayi Feng:
Multi-kernel Correlation Filter for Visual Tracking. ICCV 2015: 3038-3046
2014
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Han Wang, Yancheng Bai, Ming Tang:
Robust Maximum Margin Correlation Tracking. ACCV Workshops (1) 2014: 487-500
2012
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  - conf/cvpr/BaiT12
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Yancheng Bai, Ming Tang:
Robust tracking via weakly supervised ranking SVM. CVPR 2012: 1854-1861
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Xincan Li, Ming Tang:
Analysis of MILTrack. ICIMCS 2012: 176-179
2011
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Yancheng Bai, Ming Tang:
Robust visual tracking via ranking SVM. ICIP 2011: 517-520
2010
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Ming Tang, Xi Peng, Duowen Chen:
Robust Tracking with Discriminative Ranking Lists. ACCV (1) 2010: 283-295
2009
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Jing Zhang, Duowen Chen, Ming Tang:
Combining Discriminative and Descriptive Models for Tracking. ACCV (1) 2009: 113-122
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Duowen Chen, Jing Zhang, Ming Tang:
Random patch based video tracking via boosting the relative spaces. ICASSP 2009: 1217-1220
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Yi Ouyang, Ming Tang, Shi Chen, Jinqiao Wang, Hanqing Lu, Songde Ma:
Learning local features for object categorization. ICME 2009: 454-457
2008
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Yi Ouyang, Ming Tang, Jian Cheng, Jinqiao Wang, Hanqing Lu, Songde Ma:
A novel contextual descriptors for category recognition. ICME 2008: 1349-1352
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Yi Ouyang, Ming Tang, Jinqiao Wang, Hanqing Lu, Songde Ma:
Boosting relative spaces for categorizing objects with large intra-class variation. ACM Multimedia 2008: 663-666
2006
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Kai Zhang, James T. Kwok, Ming Tang:
Accelerated Convergence Using Dynamic Mean Shift. ECCV (2) 2006: 257-268
2005
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Kai Zhang, Ming Tang, James T. Kwok:
Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation. CVPR (2) 2005: 1001-1007
2000
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Ming Tang, Jing Xiao, Songde Ma:
Semantically Homogeneous Segmentation with Nonparametric Region Competition. ICPR 2000: 1648-1651
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Ming Tang, Jing Xiao, Songde Ma:
Two-Step Classification Based on Scale Space. ICPR 2000: 2899-2902
1991
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Ming Tang, Songde Ma:
A New Method for Spatial Reasoning in Image Database. VDB 1991: 37-48

Data and Artifacts

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What is the meaning of the colors in the publication lists?

2024
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Zhiyang Chen, Yousong Zhu, Yufei Zhan, Zhaowen Li, Chaoyang Zhao, Jinqiao Wang, Ming Tang:
Relation-Associated Instructions & Hallucination Benchmark. IEEE DataPort, 2024

Informal and Other Publications

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What is the meaning of the colors in the publication lists?

2025
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
FiLo++: Zero-/Few-Shot Anomaly Detection by Fused Fine-Grained Descriptions and Deformable Localization. CoRR abs/2501.10067 (2025)
[i48]
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Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Systematic Outliers in Large Language Models. CoRR abs/2502.06415 (2025)
[i47]
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  - journals/corr/abs-2502-18218
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Bingke Zhu, Xiaoxiao Wang, Minghui Jia, Yihan Tao, Xiao Kong, Ali Luo, Yingying Chen, Ming Tang, Jinqiao Wang:
FLARE: A Framework for Stellar Flare Forecasting using Stellar Physical Properties and Historical Records. CoRR abs/2502.18218 (2025)
[i46]
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  - journals/corr/abs-2503-08481
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Weijie Zhou, Manli Tao, Chaoyang Zhao, Haiyun Guo, Honghui Dong, Ming Tang, Jinqiao Wang:
PhysVLM: Enabling Visual Language Models to Understand Robotic Physical Reachability. CoRR abs/2503.08481 (2025)
[i45]
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Weijie Zhou, Yi Peng, Manli Tao, Chaoyang Zhao, Honghui Dong, Ming Tang, Jinqiao Wang:
LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning. CoRR abs/2503.08508 (2025)
[i44]
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Yufei Zhan, Yousong Zhu, Shurong Zheng, Hongyin Zhao, Fan Yang, Ming Tang, Jinqiao Wang:
Vision-R1: Evolving Human-Free Alignment in Large Vision-Language Models via Vision-Guided Reinforcement Learning. CoRR abs/2503.18013 (2025)
[i43]
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  - journals/corr/abs-2504-12970
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Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
MathPhys-Guided Coarse-to-Fine Anomaly Synthesis with SQE-Driven Bi-Level Optimization for Anomaly Detection. CoRR abs/2504.12970 (2025)
[i42]
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Yufei Zhan, Hongyin Zhao, Yousong Zhu, Shurong Zheng, Fan Yang, Ming Tang, Jinqiao Wang:
Understand, Think, and Answer: Advancing Visual Reasoning with Large Multimodal Models. CoRR abs/2505.20753 (2025)
2024
[i41]
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Guojing Ge, Qi Song, Guibo Zhu, Yuting Zhang, Jinglu Chen, Miao Xin, Ming Tang, Jinqiao Wang:
BFRFormer: Transformer-based generator for Real-World Blind Face Restoration. CoRR abs/2402.18811 (2024)
[i40]
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Yufei Zhan, Yousong Zhu, Hongyin Zhao, Fan Yang, Ming Tang, Jinqiao Wang:
Griffon v2: Advancing Multimodal Perception with High-Resolution Scaling and Visual-Language Co-Referring. CoRR abs/2403.09333 (2024)
[i39]
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  - journals/corr/abs-2404-10357
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Enming Zhang, Bingke Zhu, Yingying Chen, Qinghai Miao, Ming Tang, Jinqiao Wang:
Optimization of Prompt Learning via Multi-Knowledge Representation for Vision-Language Models. CoRR abs/2404.10357 (2024)
[i38]
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  - journals/corr/abs-2404-13671
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Hao Li, Ming Tang, Jinqiao Wang:
FiLo: Zero-Shot Anomaly Detection by Fine-Grained Description and High-Quality Localization. CoRR abs/2404.13671 (2024)
[i37]
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  - journals/corr/abs-2408-14776
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Yuanbing Zhu, Bingke Zhu, Zhen Chen, Huan Xu, Ming Tang, Jinqiao Wang:
MROVSeg: Breaking the Resolution Curse of Vision-Language Models in Open-Vocabulary Semantic Segmentation. CoRR abs/2408.14776 (2024)
[i36]
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Tuan-Hung Vu, Eduardo Valle, Andrei Bursuc, Tommie Kerssies, Daan de Geus, Gijs Dubbelman, Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang, Tomás Vojír, Jan Sochman, Jirí Matas, Michael Smith, Frank P. Ferrie, Shamik Basu, Christos Sakaridis, Luc Van Gool:
The BRAVO Semantic Segmentation Challenge Results in UNCV2024. CoRR abs/2409.15107 (2024)
[i35]
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Yufei Zhan, Hongyin Zhao, Yousong Zhu, Fan Yang, Ming Tang, Jinqiao Wang:
Griffon-G: Bridging Vision-Language and Vision-Centric Tasks via Large Multimodal Models. CoRR abs/2410.16163 (2024)
[i34]
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Jinghan He, Haiyun Guo, Kuan Zhu, Zihan Zhao, Ming Tang, Jinqiao Wang:
SEEKR: Selective Attention-Guided Knowledge Retention for Continual Learning of Large Language Models. CoRR abs/2411.06171 (2024)
[i33]
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Long Qian, Bingke Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
Friend or Foe? Harnessing Controllable Overfitting for Anomaly Detection. CoRR abs/2412.00560 (2024)
[i32]
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
UniVAD: A Training-free Unified Model for Few-shot Visual Anomaly Detection. CoRR abs/2412.03342 (2024)
[i31]
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  - journals/corr/abs-2412-13949
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Jinghan He, Kuan Zhu, Haiyun Guo, Junfeng Fang, Zhenglin Hua, Yuheng Jia, Ming Tang, Tat-Seng Chua, Jinqiao Wang:
Cracking the Code of Hallucination in LVLMs with Vision-aware Head Divergence. CoRR abs/2412.13949 (2024)
2023
[i30]
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Xiaomei Zhang, Xiangyu Zhu, Ming Tang, Zhen Lei:
Deep Learning for Human Parsing: A Survey. CoRR abs/2301.12416 (2023)
[i29]
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Zhaowen Li, Yousong Zhu, Zhiyang Chen, Wei Li, Chaoyang Zhao, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang:
Efficient Masked Autoencoders with Self-Consistency. CoRR abs/2302.14431 (2023)
[i28]
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Yongqi An, Xu Zhao, Tao Yu, Haiyun Guo, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground Selection. CoRR abs/2303.14679 (2023)
[i27]
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Zhaowen Li, Xu Zhao, Peigeng Ding, Zongxin Gao, Yuting Yang, Ming Tang, Jinqiao Wang:
FreConv: Frequency Branch-and-Integration Convolutional Networks. CoRR abs/2304.04540 (2023)
[i26]
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Xu Zhao, Wenchao Ding, Yongqi An, Yinglong Du, Tao Yu, Min Li, Ming Tang, Jinqiao Wang:
Fast Segment Anything. CoRR abs/2306.12156 (2023)
[i25]
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Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, Jinqiao Wang:
AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models. CoRR abs/2308.15366 (2023)
[i24]
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  - journals/corr/abs-2311-14552
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Yufei Zhan, Yousong Zhu, Zhiyang Chen, Fan Yang, Ming Tang, Jinqiao Wang:
Griffon: Spelling out All Object Locations at Any Granularity with Large Language Models. CoRR abs/2311.14552 (2023)
[i23]
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  - journals/corr/abs-2311-16206
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Jinghan He, Haiyun Guo, Ming Tang, Jinqiao Wang:
Continual Instruction Tuning for Large Multimodal Models. CoRR abs/2311.16206 (2023)
[i22]
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  - journals/corr/abs-2311-16479
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Zhiyang Chen, Yousong Zhu, Yufei Zhan, Zhaowen Li, Chaoyang Zhao, Jinqiao Wang, Ming Tang:
Mitigating Hallucination in Visual Language Models with Visual Supervision. CoRR abs/2311.16479 (2023)
[i21]
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  - journals/corr/abs-2312-11983
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Yongqi An, Xu Zhao, Tao Yu, Ming Tang, Jinqiao Wang:
Fluctuation-based Adaptive Structured Pruning for Large Language Models. CoRR abs/2312.11983 (2023)
2022
[i20]
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  - journals/corr/abs-2201-06776
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Nanfei Jiang, Xu Zhao, Chaoyang Zhao, Yongqi An, Ming Tang, Jinqiao Wang:
Pruning-aware Sparse Regularization for Network Pruning. CoRR abs/2201.06776 (2022)
[i19]
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  - journals/corr/abs-2203-03931
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Kuan Zhu, Haiyun Guo, Tianyi Yan, Yousong Zhu, Jinqiao Wang, Ming Tang:
Part-Aware Self-Supervised Pre-Training for Person Re-Identification. CoRR abs/2203.03931 (2022)
[i18]
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  - journals/corr/abs-2203-06965
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Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang:
UniVIP: A Unified Framework for Self-Supervised Visual Pre-training. CoRR abs/2203.06965 (2022)
[i17]
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  - journals/corr/abs-2206-06607
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Tianyi Yan, Kuan Zhu, Haiyun Guo, Guibo Zhu, Ming Tang, Jinqiao Wang:
Plug-and-Play Pseudo Label Correction Network for Unsupervised Person Re-identification. CoRR abs/2206.06607 (2022)
[i16]
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  - journals/corr/abs-2208-14706
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Zhaowen Li, Xu Zhao, Chaoyang Zhao, Ming Tang, Jinqiao Wang:
Transfering Low-Frequency Features for Domain Adaptation. CoRR abs/2208.14706 (2022)
[i15]
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  - journals/corr/abs-2209-13948
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Zhiyang Chen, Yousong Zhu, Zhaowen Li, Fan Yang, Wei Li, Haixin Wang, Chaoyang Zhao, Liwei Wu, Rui Zhao, Jinqiao Wang, Ming Tang:
Obj2Seq: Formatting Objects as Sequences with Class Prompt for Visual Tasks. CoRR abs/2209.13948 (2022)
2021
[i14]
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  - journals/corr/abs-2104-00885
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Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang:
Adaptive Class Suppression Loss for Long-Tail Object Detection. CoRR abs/2104.00885 (2021)
[i13]
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  - journals/corr/abs-2104-00921
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Kuan Zhu, Haiyun Guo, Shiliang Zhang, Yaowei Wang, Gaopan Huang, Honglin Qiao, Jing Liu, Jinqiao Wang, Ming Tang:
AAformer: Auto-Aligned Transformer for Person Re-Identification. CoRR abs/2104.00921 (2021)
[i12]
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Diqiong Jiang, Yiwei Jin, Risheng Deng, Ruofeng Tong, Fang-Lue Zhang, Yu-Kun Lai, Ming Tang:
Reconstructing Recognizable 3D Face Shapes based on 3D Morphable Models. CoRR abs/2104.03515 (2021)
[i11]
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  - journals/corr/abs-2106-05656
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Zhaowen Li, Zhiyang Chen, Fan Yang, Wei Li, Yousong Zhu, Chaoyang Zhao, Rui Deng, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang:
MST: Masked Self-Supervised Transformer for Visual Representation. CoRR abs/2106.05656 (2021)
[i10]
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  - journals/corr/abs-2107-14467
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Zhiyang Chen, Yousong Zhu, Chaoyang Zhao, Guosheng Hu, Wei Zeng, Jinqiao Wang, Ming Tang:
DPT: Deformable Patch-based Transformer for Visual Recognition. CoRR abs/2107.14467 (2021)
[i9]
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  - journals/corr/abs-2112-12917
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Zhiwei Liu, Xiangyu Zhu, Lu Yang, Xiang Yan, Ming Tang, Zhen Lei, Guibo Zhu, Xuetao Feng, Yan Wang, Jinqiao Wang:
Multi-initialization Optimization Network for Accurate 3D Human Pose and Shape Estimation. CoRR abs/2112.12917 (2021)
2020
[i8]
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  - journals/corr/abs-2007-13467
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Kuan Zhu, Haiyun Guo, Zhiwei Liu, Ming Tang, Jinqiao Wang:
Identity-Guided Human Semantic Parsing for Person Re-Identification. CoRR abs/2007.13467 (2020)
2019
[i7]
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Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil Martin Robertson, Jinqiao Wang:
Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection. CoRR abs/1903.10661 (2019)
[i6]
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  - journals/corr/abs-1906-10414
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Linyu Zheng, Ming Tang, Jinqiao Wang, Hanqing Lu:
Learning Features with Differentiable Closed-Form Solver for Tracking. CoRR abs/1906.10414 (2019)
2018
[i5]
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  - journals/corr/abs-1806-06406
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Ming Tang, Linyu Zheng, Bin Yu, Jinqiao Wang:
High Speed Kernelized Correlation Filters without Boundary Effect. CoRR abs/1806.06406 (2018)
[i4]
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  - journals/corr/abs-1806-06418
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Ming Tang, Bin Yu, Fan Zhang, Jinqiao Wang:
High-speed Tracking with Multi-kernel Correlation Filters. CoRR abs/1806.06418 (2018)
2017
[i3]
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  - journals/corr/ZhaoCTW17
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Xu Zhao, Yingying Chen, Ming Tang, Jinqiao Wang:
Joint Background Reconstruction and Foreground Segmentation via A Two-stage Convolutional Neural Network. CoRR abs/1707.07584 (2017)
[i2]
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  - journals/corr/ZhuCWLZT17
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Bingke Zhu, Yingying Chen, Jinqiao Wang, Si Liu, Bo Zhang, Ming Tang:
Fast Deep Matting for Portrait Animation on Mobile Phone. CoRR abs/1707.08289 (2017)
[i1]
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  - journals/corr/abs-1711-09243
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Jinqiao Wang, Ming Tang, Linyu Zheng, Jiayi Feng:
On the Relations of Correlation Filter Based Trackers and Struck. CoRR abs/1711.09243 (2017)

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