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ORCIDChenglong Li 0002
Person information
- affiliation (PhD 2016): Anhui University, School of Computer Science and Technology, Hefei, China
Other persons with the same name
- Chenglong Li — disambiguation page
- Chenglong Li 0001
![[0000-0001-6775-9386]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6775-9386")
— National Computer Network Emergency Response Technical Team/Coordination Center of China, Beijing, China - Chenglong Li 0003 — Air Force Engineering University, Information Transmission Laboratory, Xi'an, China
- Chenglong Li 0004 — Shandong Jianzhu University, School of Computer Science and Technology, Jinan, China (and 1 more)
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2020 – today
- 2020
[j22]Aihua Zheng, Naipeng Ye, Chenglong Li, Xiao Wang, Jin Tang:
Multi-modal foreground detection via inter- and intra-modality-consistent low-rank separation. Neurocomputing 371: 27-38 (2020)- [j21]Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma, Jin Tang:
RGB-T Image Saliency Detection via Collaborative Graph Learning. IEEE Trans. Multimedia 22(1): 160-173 (2020) - [j20]Aihua Zheng, Xuehan Zhang, Bo Jiang, Bin Luo, Chenglong Li:
A Subspace Learning Approach to Multishot Person Reidentification. IEEE Trans. Syst. Man Cybern. Syst. 50(1): 149-158 (2020) - [c27]Hongchao Li, Chenglong Li, Xianpeng Zhu, Aihua Zheng, Bin Luo:
Multi-Spectral Vehicle Re-Identification: A Challenge. AAAI 2020: 11345-11353 - [i18]Zhengzheng Tu, Chun Lin, Chenglong Li, Jin Tang, Bin Luo:
M5L: Multi-Modal Multi-Margin Metric Learning for RGBT Tracking. CoRR abs/2003.07650 (2020) - [i17]Zhengzheng Tu, Zhun Li, Chenglong Li, Yang Lang, Jin Tang:
Multi-interactive Encoder-decoder Network for RGBT Salient Object Detection. CoRR abs/2005.02315 (2020) - [i16]Zhengzheng Tu, Yan Ma, Zhun Li, Chenglong Li, Jieming Xu, Yongtao Liu:
RGBT Salient Object Detection: A Large-scale Dataset and Benchmark. CoRR abs/2007.03262 (2020)
2010 – 2019
- 2019
- [j19]Aihua Zheng, Tian Zou, Yumiao Zhao, Bo Jiang, Jin Tang, Chenglong Li:
Background subtraction with multi-scale structured low-rank and sparse factorization. Neurocomputing 328: 113-121 (2019) - [j18]Bo Jiang, Yuan Zhang, Jin Tang, Bin Luo, Chenglong Li:
Robust visual tracking via Laplacian Regularized Random Walk Ranking. Neurocomputing 339: 139-148 (2019) - [j17]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Dynamic Graph Learning. IEEE Trans. Pattern Anal. Mach. Intell. 41(11): 2770-2782 (2019) - [j16]Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
RGB-T object tracking: Benchmark and baseline. Pattern Recognit. 96 (2019) - [j15]Xiao Wang, Tao Sun, Rui Yang, Chenglong Li, Bin Luo, Jin Tang:
Quality-aware dual-modal saliency detection via deep reinforcement learning. Signal Process. Image Commun. 75: 158-167 (2019) - [j14]Chenglong Li, Chengli Zhu, Jian Zhang, Bin Luo, Xiaohao Wu, Jin Tang:
Learning Local-Global Multi-Graph Descriptors for RGB-T Object Tracking. IEEE Trans. Circuits Syst. Video Technol. 29(10): 2913-2926 (2019) - [c26]Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang:
Multi-Adapter RGBT Tracking. ICCV Workshops 2019: 2262-2270 - [c25]Zhengzheng Tu, Tian Xia, Chenglong Li, Yijuan Lu, Jin Tang:
M3S-NIR: Multi-modal Multi-scale Noise-Insensitive Ranking for RGB-T Saliency Detection. MIPR 2019: 141-146 - [c24]Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang:
Dense Feature Aggregation and Pruning for RGBT Tracking. ACM Multimedia 2019: 465-472 - [i15]Zhengzheng Tu, Tian Xia, Chenglong Li, Xiaoxiao Wang, Yan Ma, Jin Tang:
RGB-T Image Saliency Detection via Collaborative Graph Learning. CoRR abs/1905.06741 (2019) - [i14]Aihua Zheng, Xianmin Lin, Chenglong Li, Ran He, Jin Tang:
Attributes Guided Feature Learning for Vehicle Re-identification. CoRR abs/1905.08997 (2019) - [i13]Chenglong Li, Andong Lu, Aihua Zheng, Zhengzheng Tu, Jin Tang:
Multi-Adapter RGBT Tracking. CoRR abs/1907.07485 (2019) - [i12]Chenglong Li, Wei Xia, Yan Yan, Bin Luo, Jin Tang:
Segmenting Objects in Day and Night: Edge-Conditioned CNN for Thermal Image Semantic Segmentation. CoRR abs/1907.10303 (2019) - [i11]Yabin Zhu, Chenglong Li, Bin Luo, Jin Tang, Xiao Wang:
Dense Feature Aggregation and Pruning for RGBT Tracking. CoRR abs/1907.10451 (2019) - [i10]Chenglong Li, Yan Huang, Liang Wang, Jin Tang, Liang Lin:
Learning Compact Target-Oriented Feature Representations for Visual Tracking. CoRR abs/1908.01442 (2019) - [i9]Zhengzheng Tu, Yan Ma, Chenglong Li, Jin Tang, Bin Luo:
Edge-guided Non-local Fully Convolutional Network for Salient Object Detection. CoRR abs/1908.02460 (2019) - [i8]Rui Yang, Yabin Zhu, Xiao Wang, Chenglong Li, Jin Tang:
Learning Target-oriented Dual Attention for Robust RGB-T Tracking. CoRR abs/1908.04441 (2019) - 2018
- [j13]Chenglong Li, Xiaohao Wu, Nan Zhao, Xiaochun Cao, Jin Tang:
Fusing two-stream convolutional neural networks for RGB-T object tracking. Neurocomputing 281: 78-85 (2018) - [j12]Chenglong Li, Zhimin Bao, Xiao Wang, Jin Tang:
Moving object detection via robust background modeling with recurring patterns voting. Multim. Tools Appl. 77(11): 13557-13570 (2018) - [j11]Chenglong Li, Chengli Zhu, Shaofei Zheng, Bin Luo, Jing Tang:
Two-stage modality-graphs regularized manifold ranking for RGB-T tracking. Signal Process. Image Commun. 68: 207-217 (2018) - [j10]Sen Yang, Bin Luo, Chenglong Li, Guizhao Wang, Jin Tang:
Fast Grayscale-Thermal Foreground Detection With Collaborative Low-Rank Decomposition. IEEE Trans. Circuits Syst. Video Technol. 28(10): 2574-2585 (2018) - [c23]Yulong Wang, Chenglong Li, Jin Tang, Dengdi Sun:
Learning Collaborative Sparse Correlation Filter for Real-Time Multispectral Object Tracking. BICS 2018: 462-472 - [c22]Aihua Zheng, Yumiao Zhao, Chenglong Li, Jin Tang, Bin Luo:
Moving Object Detection via Robust Low-Rank and Sparse Separating with High-Order Structural Constraint. BigMM 2018: 1-6 - [c21]Xiao Wang, Chenglong Li, Bin Luo, Jin Tang:
SINT++: Robust Visual Tracking via Adversarial Positive Instance Generation. CVPR 2018: 4864-4873 - [c20]Chenglong Li, Chengli Zhu, Yan Huang, Jin Tang, Liang Wang:
Cross-Modal Ranking with Soft Consistency and Noisy Labels for Robust RGB-T Tracking. ECCV (13) 2018: 831-847 - [c19]Ran Zhong, Wenzhong Wang, Chenglong Li, Aihua Zheng, Jin Tang:
Exploring Scene Geometry for Scale Adaptive Object Tracking in Surveillance Videos. ICIP 2018: 4113-4117 - [c18]Guizhao Wang, Chenglong Li, Yunpeng Ma, Aihua Zheng, Jin Tang, Bin Luo:
RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and a Novel Approach. IGTA 2018: 359-369 - [c17]Lin Li, Chenglong Li, Zhengzheng Tu, Jin Tang:
A Fusion Approach to Grayscale-Thermal Tracking with Cross-Modal Sparse Representation. IGTA 2018: 494-505 - [c16]Zichun Zhang, Xinyan Liang, Chenglong Li:
Adaptively Learning Background-Aware Correlation Filter for Visual Tracking. IGTA 2018: 517-526 - [c15]Aihua Zheng, Yumiao Zhao, Chenglong Li, Jin Tang, Bin Luo:
Multispectral Foreground Detection via Robust Cross-Modal Low-Rank Decomposition. PCM (1) 2018: 819-829 - [c14]Aihua Zheng, Hongchao Li, Bo Jiang, Chenglong Li, Jin Tang, Bin Luo:
Non-negative Dual Graph Regularized Sparse Ranking for Multi-shot Person Re-identification. PRCV (1) 2018: 108-120 - [c13]Yulong Wang, Chenglong Li, Jin Tang:
Learning Soft-Consistent Correlation Filters for RGB-T Object Tracking. PRCV (4) 2018: 295-306 - [c12]Ziwei Xiong, Nan Zhao, Chenglong Li, Jin Tang:
Visual Tracking via Patch-Based Absorbing Markov Chain. S+SSPR 2018: 150-159 - [i7]Chenglong Li, Xinyan Liang, Yijuan Lu, Nan Zhao, Jin Tang:
RGB-T Object Tracking: Benchmark and Baseline. CoRR abs/1805.08982 (2018) - [i6]Yabin Zhu, Chenglong Li, Yijuan Lu, Liang Lin, Bin Luo, Jin Tang:
FANet: Quality-Aware Feature Aggregation Network for RGB-T Tracking. CoRR abs/1811.09855 (2018) - [i5]Xiao Wang, Chenglong Li, Rui Yang, Tianzhu Zhang, Jin Tang, Bin Luo:
Describe and Attend to Track: Learning Natural Language guided Structural Representation and Visual Attention for Object Tracking. CoRR abs/1811.10014 (2018) - [i4]Xiao Wang, Tao Sun, Rui Yang, Chenglong Li, Bin Luo, Jin Tang:
Quality-Aware Multimodal Saliency Detection via Deep Reinforcement Learning. CoRR abs/1811.10763 (2018) - 2017
- [j9]Aihua Zheng, Minghe Xu, Bin Luo, Zhili Zhou, Chenglong Li:
CLASS: Collaborative Low-Rank and Sparse Separation for Moving Object Detection. Cogn. Comput. 9(2): 180-193 (2017) - [j8]Aihua Zheng, Lei Zhang, Wei Zhang, Chenglong Li, Jin Tang, Bin Luo:
Local-to-global background modeling for moving object detection from non-static cameras. Multim. Tools Appl. 76(8): 11003-11019 (2017) - [j7]Chenglong Li, Xiao Wang, Lei Zhang, Jin Tang, Hejun Wu, Liang Lin:
Weighted Low-Rank Decomposition for Robust Grayscale-Thermal Foreground Detection. IEEE Trans. Circuits Syst. Video Technol. 27(4): 725-738 (2017) - [j6]Chenglong Li, Xiang Sun, Xiao Wang, Lei Zhang, Jin Tang:
Grayscale-Thermal Object Tracking via Multitask Laplacian Sparse Representation. IEEE Trans. Syst. Man Cybern. Syst. 47(4): 673-681 (2017) - [c11]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang:
Learning Patch-Based Dynamic Graph for Visual Tracking. AAAI 2017: 4126-4132 - [c10]Minghe Xu, Chenglong Li, Hanqin Shi, Jin Tang, Aihua Zheng:
Moving Object Detection via Integrating Spatial Compactness and Appearance Consistency in the Low-Rank Representation. CCCV (3) 2017: 50-60 - [c9]Jiawei Cao, Wenzhong Wang, Xiao Wang, Chenglong Li, Jin Tang:
End-to-End View-Aware Vehicle Classification via Progressive CNN Learning. CCCV (1) 2017: 729-737 - [c8]Wenzhong Wang, Qiaoqiao Zhang, Bin Luo, Jin Tang, Rui Ruan, Chenglong Li:
Selecting attentive frames from visually coherent video chunks for surveillance video summarization. ICIP 2017: 2408-2412 - [c7]Yunpeng Ma, Dengdi Sun, Qianqian Meng, Zhuanlian Ding, Chenglong Li:
Learning Multiscale Deep Features and SVM Regressors for Adaptive RGB-T Saliency Detection. ISCID (1) 2017: 389-392 - [c6]Chenglong Li, Xiaohao Wu, Zhimin Bao, Jin Tang:
ReGLe: Spatially Regularized Graph Learning for Visual Tracking. ACM Multimedia 2017: 252-260 - [c5]Chenglong Li, Nan Zhao, Yijuan Lu, Chengli Zhu, Jin Tang:
Weighted Sparse Representation Regularized Graph Learning for RGB-T Object Tracking. ACM Multimedia 2017: 1856-1864 - [i3]Chenglong Li, Guizhao Wang, Yunpeng Ma, Aihua Zheng, Bin Luo, Jin Tang:
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach. CoRR abs/1701.02829 (2017) - [i2]Chenglong Li, Liang Lin, Wangmeng Zuo, Jin Tang, Ming-Hsuan Yang:
Visual Tracking via Learning Dynamic Patch-based Graph Representation. CoRR abs/1710.01444 (2017) - 2016
- [j5]Liang Lin, Yongyi Lu, Chenglong Li, Hui Cheng, Wangmeng Zuo:
Detection-Free Multiobject Tracking by Reconfigurable Inference With Bundle Representations. IEEE Trans. Cybern. 46(11): 2447-2458 (2016) - [j4]Liang Lin, Wei Yang, Chenglong Li, Jin Tang, Xiaochun Cao:
Inference With Collaborative Model for Interactive Tumor Segmentation in Medical Image Sequences. IEEE Trans. Cybern. 46(12): 2796-2809 (2016) - [j3]Chenglong Li, Liang Lin, Wangmeng Zuo, Wenzhong Wang, Jin Tang:
An Approach to Streaming Video Segmentation With Sub-Optimal Low-Rank Decomposition. IEEE Trans. Image Process. 25(5): 1947-1960 (2016) - [j2]Chenglong Li, Hui Cheng, Shiyi Hu, Xiaobai Liu, Jin Tang, Liang Lin:
Learning Collaborative Sparse Representation for Grayscale-Thermal Tracking. IEEE Trans. Image Process. 25(12): 5743-5756 (2016) - [c4]Chenglong Li, Shiyi Hu, Sihan Gao, Jin Tang:
Real-Time Grayscale-Thermal Tracking via Laplacian Sparse Representation. MMM (2) 2016: 54-65 - 2015
- [j1]Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi:
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures With Edge-Preserving Coherence. IEEE Trans. Image Process. 24(10): 3019-3033 (2015) - [c3]Wei Zhang, Chenglong Li, Aihua Zheng, Jin Tang, Bin Luo:
Motion Compensation Based Fast Moving Object Detection in Dynamic Background. CCCV (2) 2015: 247-256 - [c2]Chenglong Li, Liang Lin, Wangmeng Zuo, Shuicheng Yan, Jin Tang:
SOLD: Sub-optimal low-rank decomposition for efficient video segmentation. CVPR 2015: 5519-5527 - [c1]Baoliang Zhou, Aihua Zheng, Bo Jiang, Chenglong Li, Jin Tang:
Person Re-identification with Density-Distance Unsupervised Salience Learning. ICIG (3) 2015: 55-67 - [i1]Keze Wang, Liang Lin, Jiangbo Lu, Chenglong Li, Keyang Shi:
PISA: Pixelwise Image Saliency by Aggregating Complementary Appearance Contrast Measures with Edge-Preserving Coherence. CoRR abs/1505.03227 (2015)
Coauthor Index
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