online

Xiang Wang, Shiwei Zhang, Jun Cen, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang, "CLIP-guided prototype modulating for few-shot action recognition," International Journal of Computer Vision (IJCV), 2023

Zhong Ji, Ping An, Xiyao Liu, Changxin Gao, Yanwei Pang, Ling Shao, "Semantic-Aware Dynamic Generation Networks for Few-Shot Human–Object Interaction Recognition," IEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2023 [paper]

Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Xiang Wang, Yuehuan Wang, Yiliang Lv, Changxin Gao, Nong Sang, "MAR: Masked autoencoders for efficient action recognition," IEEE Transactions on Multimedia (TMM), 2023 [paper] [code]

2024

Runmin Wang, Zhenlin Zhu, Yanbin Zhu, Hua Chen, Yongzhong Liao, Ziyu Zhu, Yajun Ding, Changxin Gao, Nong Sang, "DIMGNet: A Transformer-based Network for Pedestrian Reidentification with Multi-granularity Information Mutual Gain," IEEE Transactions on Multimedia (TMM), vol. 26, 6513-6528, 2024 [paper]

Yinyuan Wang, Haowen Du, Zhuo Cheng, Changxin Gao, LongSheng Wei, Bin Fang, Fei Xiao, Dapeng Luo, "KRRNet: Keypoint Relational Regression Network for Bottom-up Anchor-free Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 34(4):2249-2260, 2024. [paper]

Jialong Zuo, Hanyu Zhou, Ying Nie, Feng Zhang, Tianyu Guo, Nong Sang, Yunhe Wang*, Changxin Gao*,"UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Xiangheng Shan, Dongyue Wu, Guilin Zhu, Yuanjie Shao*, Nong Sang, Changxin Gao,"Open-Vocabulary Semantic Segmentation with Image Embedding Balancing" IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Zhiwu Qing, Shiwei Zhang*, Jiayu Wang, Xiang Wang, Yujie Wei, Yingya Zhang, Changxin Gao*, Nong Sang,"Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Xiang Wang, Shiwei Zhang*, Hangjie Yuan, Zhiwu Qing, Biao Gong, Yingya Zhang, Yujun Shen, Changxin Gao, Nong Sang*, "A Recipe for Scaling up Text-to-Video Generation with Text-free Videos," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Leyuan Liu, Yuhan Li, Yunqi Gao, Changxin Gao, Yuanyuan Liu, Jingying Chen,"VS: Reconstructing Clothed 3D Human from Single Image via Vertex Shift," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2024

Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, Nong Sang*, "Query-centric distance modulator for few-shot classification," Pattern Recognition (PR), vol. 151, pp. 110380, 2024   [paper]

Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Nong Sang, Changxin Gao*, "Semantic segmentation via pixel‐to‐center similarity calculation," Journal CAAI Transactions on Intelligence Technology, vol.9, pp.87-100, 2024 [paper]

Guilin Zhu, Runmin Wang*, Yingying Liu, Zhenlin Zhu, Changxin Gao, Li Liu, Nong Sang, "An Adaptive Post-Processing Network with the Global-Local Aggregation for Semantic Segmentation," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 34(2):1159-1173, 2024  [paper]

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Zhengrong Zuo, Changxin Gao*, Rong Jin, Nong Sang, "HyRSM++: Hybrid relation guided temporal set matching for few-shot action recognition," Pattern Recognition (PR), vol. 147, pp. 110110, 2024 [paper]

Zhengze Xu, Dongyue Wu, Changqian Yu, Xiangxiang Chu, Nong Sang, Changxin Gao*, "SCTNet: Single-Branch CNN with Transformer Semantic Information for Real-Time Segmentation," AAAI Conference on Artificial Intelligence (AAAI) , 2024[paper][code]

2023

Yinyuan Wang, Haowen Du, Zhuo Cheng, Changxin Gao, LongSheng Wei, Bin Fang, Fei Xiao, Dapeng Luo, "KRRNet: Keypoint Relational Regression Network for Bottom-up Anchor-free Object Detection," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 34(2):1159-1173, 2024  [paper]

Jiyuan Chen, Changxin Gao, Li Sun, Nong Sang, "CCSD: cross-camera self-distillation for unsupervised person re-identification," Visual Intelligence, 1:27, 2023

Zhiwu Qing, Ziyuan Huang, Shiwei Zhang*, Mingqian Tang, Changxin Gao, Rong Jin, Marcelo H Ang, Nong Sang*, "ParamCrop: Parametric cubic cropping for video contrastive learning," IEEE Transactions on Multimedia (TMM), vol. 25, pp. 9002-9014, 2023 [paper]

Feng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao*, Nong Sang, "Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping," Conference and Workshop on Neural Information Processing Systems (NeurIPS), 2023 [paper]

Zhiwu Qing, Shiwei Zhang*, Ziyuan Huang, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang*, "Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning," IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [paper][code]

Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang*, "Towards General Low-Light Raw Noise Synthesis and Modeling," IEEE/CVF International Conference on Computer Vision (ICCV), 2023 [paper][project]

Zhiwu Qing, Shiwei Zhang*, Ziyuan Huang, Yi Xu, Xiang Wang, Changxin Gao* Rong Jin, Nong Sang, "Self-Supervised Learning from Untrimmed Videos via Hierarchical Consistency," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(10):12408-12426, 2023. [paper][code]

Dongyue Wu, Zilin Guo, Aoyan Li, Changqian Yu, Changxin Gao*, Nong Sang, "Conditional Boundary Loss for Semantic Segmentation," IEEE Transactions on Image Processing (TIP), vol. 32, pp. 3717-3731, 2023. [paper][code]

Chuchu Han, Zhedong Zheng, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang*, Yi Yang, "DMRNet++: Learning Discriminative Features with Decoupled Networks and Enriched Pairs for One-Step Person Search," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 45(6):7319-7337, 2023. [paper]

Yuanjie Shao, Wenxiao Wu, Xinge You, Changxin Gao, Nong Sang*, "Improving the Generalization of MAML in Few-shot Classification via Bi-level Constraint," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT),  33(7):3284-3295, 2023

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Changxin Gao, Yingya Zhang, Deli Zhao, Nong Sang, "MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2023 [paper][code]

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yiliang Lv, Changxin Gao, Nong Sang*, "Cross-domain few-shot action recognition with unlabeled videos," Computer Vision and Image Understanding (CVIU), vol. 233, pp. 103737, 2023 [paper]

Beibei Yang, Changqian Yu, Jin-Gang Yu, Changxin Gao*, Nong Sang, "Pose-Guided Hierarchical Semantic Decomposition and Composition for Human Parsing," IEEE Transactions on Cybernetics (TCYB), 53(3):1641-1652, 2023.[paper]

2022

Baiteng Ma, Shiwei Zhang, Changxin Gao, Nong Sang, "Temporal Global Correlation Network for End-to-End Action Proposal Generation," ACTA ELECTONICA SINICA 50 (10), 2452, 2022 ( 马百腾, 张士伟, 高常鑫, 桑农, "面向行为边界框生成的端到端时间全局相关网络," 电子学报, 50 (10), 2452, 2022

Zhixiong Pi, Weitao Wan, Chong Sun, Changxin Gao, Nong Sang, Chen Li, "Hierarchical Feature Embedding for Visual Tracking," European Conference on Computer Vision (ECCV), 2022[paper]

Xinyue Zhou, Mingyu Yin, Xinyuan Chen, Li Sun, Changxin Gao, Qingli Li, "Cross Attention Based Style Distribution for Controllable Person Image Synthesis," European Conference on Computer Vision (ECCV), 2022

Chuchu Han, Xin Yu, Changxin Gao, Nong Sang*, Yi Yang, "Single Image based 3D Human Pose Estimation via Uncertainty Learning," Pattern Recognition (PR), vol. 132, pp.108934, 2022.[paper]

Zhixiong Pi, Yuanjie Shao, Changxin Gao, Nong Sang*, "Instance-based Feature Pyramid for Visual Object Tracking," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 32(6):2374-3787, 2022.[paper].

Zhiwu Qing, Shiwei Zhang*, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao*, Rong Jin, Nong Sang, "Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 [paper]

Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang*, "Hybrid Relation Guided Set Matching for Few-shot Action Recognition," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 [paper]

Xueqi Hu, Qiusheng Huang, Zhengyi Shi, Siyuan Li, Changxin Gao, Li Sun*, Qingli Li, "Style Transformer for Image Inversion and Editing," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2022 [paper]

Huai Qin, Changqian Yu, Changxin Gao*, Nong Sang, "D2T: A Framework for Transferring Detection to Tracking," Pattern Recognition (PR), vol. 126, pp. 108544, 2022. [paper]

Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao, Chuchu Han, Changxin Gao, Nong Sang, "Multi-Centroid Representation Network for Domain Adaptive Person Re-ID," AAAI, 2022 [paper]

Zhixiong Pi, Changxin Gao, Nong Sang, "Siamese Tracking with Bilinear Features," Asian Conference on Pattern Recognition (ACCV), pp. 421-435, 2022

Zongheng Huang, Botao He, Bo Yang, Changxin Gao, Nong Sang, "Norm-Aware Margin Assignment for Person Re-Identification," IEEE Signal Processing Letters, vol.29, pp.1292-1296, 2022

2021

Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Wei-Shi Zheng, Nong Sang, "Weakly Supervised Text-Based Person Re-Identification" IEEE/CVF International Conference on Computer Vision (ICCV), 2021[paper]

Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang*, "OadTR: Online Action Detection With Transformers," IEEE/CVF International Conference on Computer Vision (ICCV), 2021[paper]

Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang*, Yi Yang, Changhu Wang, "Weakly Supervised Person Search With Region Siamese Networks" IEEE/CVF International Conference on Computer Vision (ICCV), 2021[paper]

Changqian Yu, Changxin Gao*, Jingbo Wang, Gang Yu, Chunhua Shen, Nong Sang, "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation," International Journal of Computer Vision (IJCV), vol. 129, pp. 3051-3068, 2021. [paper][ESI hot paper][ESI highly cited paper]

Rui Wang, Jian Chen, Gang Yu, Li Sun, Changqian Yu, Changxin Gao*, Nong Sang, "Attribute-specific Control Units in StyleGAN for Fine-grained Image Manipulation," ACM MM, 2021 [paper][project][code]

Jiahui Liu, Changqian Yu, Beibei Yang, Changxin Gao*, Nong Sang, "CSENet: Cascade Semantic Erasing Network for Weakly-Supervised Semantic Segmentation," Neurocomputing, vol. 453, pp. 885-895, 2021

Quanzheng Mou, Longsheng Wei, Conghao Wang, Dapeng Luo*, Songze He, Jing Zhang, Huimin Xu, Chen Luo, Changxin Gao, "Unsupervised Domain-adaptive Scene-specific Pedestrian Detection for Static Video Surveillance," Pattern Recognition (PR), vol. 118, pp. 108038, 2021.

Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang*, "CondNet: Conditional Classifier for Scene Segmentation," IEEE Signal Processing Letters, vol. 28, pp. 758-762, 2021. [paper]

Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang*, Jingdong Wang*, "Lite-HRNet: A Lightweight High-Resolution Network," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021 [paper]

Zhiwu Qing, Haisheng Su*, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang,* "Temporal Context Aggregation Network for Temporal Action Proposal Refinement," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021 [paper]

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao*, Changxin Gao, Nong Sang, "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2021 [paper]

Dapeng Luo, Guoqing Du, Zhipeng Zeng, Longsheng Wei, Changxin Gao, Ying Chen, Fei Xiao, Chen Luo, "Multi-Object Detection and Tracking Based on Few-shot Learning," Chinese Journal of Electronics, 2011, 39(9):2034-2038. (In Chinese)  罗大鹏, 杜国庆, 曾志鹏, 魏龙生, 高常鑫, 陈应, 肖菲, 罗琛, "基于少量样本学习的多目标检测跟踪方法," 电子学报, 49 (1), 183-191, 2021

Ruochen Zheng, Changxin Gao*, Nong Sang, "Viewpoint Transform Matching Model for Person Re-identification," Neurocomputing, vol. 433, pp. 19-27, 2021

Chuchu Han, Zhedong Zheng, Changxin Gao*, Nong Sang, Yi Yang, "Decoupled and Memory-Reinforced Networks: Towards Effective Feature Learning for One-Step Person Search," AAAI, 2021 [paper]

Kaibo Zhou, Zhixin Zhang, Changxin Gao, Jie Liu, "Rotated Feature Network for Multiorientation Object Detection of Remote-Sensing Images," IEEE Geoscience and Remote Sensing Letters, 18(1):33-37, 2021 [ESI highly cited paper]

2020

Xiang Wang, Changxin Gao, Shiwei Zhang, Nong Sang, "Multi-level Temporal Pyramid Network for Action Detection," PRCV, pp. 41-54, 2020

Chuchu Han, Changxin Gao, Nong Sang*, "Keypoint-Based Feature Matching For Partial Person Re-Identification," ICIP, 2020

Chuchu Han, Ruochen Zheng, Changxin Gao*, and Nong Sang, "Complementation-Reinforced Attention Network for Person Re-Identification," IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 30(10):3433-3445, 2020. [paper]. 

Shiwei Zhang, Lin Song, Changxin Gao, Nong Sang*, "Global Local Network for Weakly Supervised Action Localization," IEEE Transactions on Multimedia (TMM), 22(10):2610-2622, 2020 [paper]

Yanrui Bin, Zhao-Min Chen, Xiu-Shen Wei*, Xinya Chen, Changxin Gao, Nong Sang*, "Structure-aware Human Pose Estimation with Graph Convolutional Networks," Pattern recognition (PR), vol. 106, pp. 107410, 2020

Zhixiong Pi, Huai Qin, Changxin Gao, Nong Sang*, "Jointly detecting and multiple people tracking by semantic and scene information," Neurocomputing, vol. 412, pp. 244-251, 2020.

Shizhen Zhao, Changxin Gao*, Jun Zhang, Hao Cheng, Chuchu Han, Xinyang Jiang, Xiaowei Guo, Wei-Shi Zheng, Nong Sang, Xing Sun, "Do Not Disturb Me: Person Re-identification Under the Interference of Other Pedestrians," European Conference on Computer Vision (ECCV), 2020 [paper][code]

Changqian Yu, Yifan liu, Changxin Gao, Chunhua Shen, Nong Sang*, "Representative Graph Neural Network," European Conference on Computer Vision (ECCV), 2020 [paper]

Yanrui Bin, Xuan Cao, Chen Xinya, Yanhao Ge, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Changxin Gao, Nong Sang, "Adversarial Semantic Data Augmentation for Human Pose Estimation," European Conference on Computer Vision (ECCV), 2020 [paper]

Juncai Peng, Yuanjie Shao*, Nong Sang, Changxin Gao, "Joint Image Deblurring and Matching with Feature-based Sparse Representation Prior," Pattern recognition (PR), vol. 103, pp. 107300, 2020.

Xinya Chen, Yanrui Bin, Changxin Gao, Nong Sang*, Hao Tang, "Relevant Region Prediction for Crowd Counting," Neurocomputing, vol. 407, pp. 399-408, 2020.

Changxin Gao, Yang Chen, Jin-Gang Yu, Nong Sang*, "Pose-guided Spatiotemporal Alignment for Video-based Person Re-identification," Information Sciences, vol. 527, pp. 176-190, 2020. [paper]

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang, Ming-Hsuan Yang, "Dynamic Scene Deblurring by Depth Guided Model," IEEE Transactions on Image Processing (TIP), vol. 29, pp. 5273-5288, 2020 [paper]

Changqian Yu, Jingbo Wang, Changxin Gao*, Gang Yu, Chunhua Shen, Nong Sang, "Context Prior for Scene Segmentation," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020 [paper]

Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, "Domain Adaptation for Image Dehazing," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020 [paper] [code]

Zhibo Fan, Zhihao Liang, Jin-Gang Yu*, Jiarong Ou, Changxin Gao, Gui-Song Xia, Yuanqing Li, "FGN: Fully Guided Network for Few-Shot Instance Segmentation," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2020 [paper]

Kezhou Chen, Yang Chen, Chuchu Han, Nong Sang*, ChangxinGao, "Hard Sample Mining Makes Person Re-identification More Efficient and Accurate", Neurocomputing, vol. 382, pp. 259-267, 2020 [paper]

Lerenhan Li#, Yulong Dong#, Wenqi Ren, Jinshan Pan, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Semi-supervised Image Dehazing", IEEE Transactions on Image Processing (TIP), vol. 29, pp. 2766-2779, 2020 [paper]

Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, "GTNet: Generative Transfer Network for Zero-Shot Object Detection" AAAI, 2020 [paper][code]

Jin-Gang Yu, Yansheng Li, Changxin Gao, Hongxia Gao, Gui-Song Xia, Zhu Liang Yu and Yuanqing Li*, "Exemplar-Based Recursive Instance Segmentation With Application to Plant Image Analysis," IEEE Transactions on Image Processing (TIP), vol. 29, pp. 389-404, 2020. [paper]

2019

Chuchu Han#, Jiacheng Ye#, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao*, Nong Sang, "Re-ID Driven Localization Refinement for Person Search," IEEE/CVF International Conference on Computer Vision (ICCV), 2019 (# indicates equal contribution) [paper]

Xuan He, Runmin Wang*, Xiumei Li, Xing Chen, Chengyu Guo, Lv Wen, Changxin Gao, Li Liu, "HTSTL: Head-and-Tail Search Network With Scale-Transfer Layer for Traffic Sign Text Detection," IEEE Access, vol. 7, pp. 118333-118342, 2019

Ruochen Zheng, Lerenhan Li, Chuchu Han, Changxin Gao*, Nong Sang, "Camera Style and Identity Disentangling Network for Person Re-identification," BMVC, 2019 [paper]

Beibei yang, Changqian Yu, Jiahui Liu, Changxin Gao*, Nong Sang, "Graph-Based Scale-Aware Network for Human Parsing, " PRCV, 2019

Jiahui Lei*, Chongjun Gao, Jing Hu, Changxin Gao, Nong Sang, "Orientation Adaptive YOLOv3 for Object Detection in Remote Sensing Images, " PRCV, 2019

Jinghao Luo, Yaohua Liu, Changxin Gao*, Nong Sang, "Learning What and Where from Attributes to Improve Person Re-identification, " ICIP, 2019 

Wenhao Li, Nong Sang, Changxin Gao, Yuanjie Shao, "Joint Image Restoration and Matching based on Hierarchical  Sparse Representation, " ICIP, 2019

Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang*, "Superpixel-Based Temporally Aligned Representation for Video-Based Person Re-Identification, " Sensors, 19(18):3861, 2019

Lerenhan Li, Jinshan Pan, Wei-sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Blind Image Deblurring via Deep Discriminative Priors," International Journal of Computer Vision,127(8):1025-1043, 2019 [paper] [project] [code]

Lerenhan Li, Nong Sang, Luxin Yan*, Changxin Gao. "Motion-blur kernel size estimation via learning a Convolutional Neural Network," Pattern Recognition Letters, vol. 119, pp. 86-93, 2019. 

Xinya Chen, Yanrui Bin, Nong Sang*, Changxin Gao, "Scale Pyramid Network for Crowd Counting, " WACV, 2019 [paper]

2018

Jia-Rong Ou, Jin-Gang Yu*, Changxin Gao, Lichao Xiao and Zhifeng Liu, "Robust and Efficient Ellipse Detection Using Tangent Chord Distance," Asian Conference on Computer Vision (ACCV), 2018.

Zhiqiang Li, Nong Sang*, Kezhou Chen, Chuchu Han, Changxin Gao, "Global Feature Learning with Human Body Region Guided for Person Re-identification," PRCV, 2018

Chuchu Han, Kezhou Chen, Jin Wang, Changxin Gao, Nong Sang*, "Re-ranking Person Re-identification with Adaptive Hard Sample Mining," PRCV, 2018

Ruochen Zheng, Yang Chen, Changqian Yu, Chuchu Han, Changxin Gao*, Nong Sang, "Center-Level Verification Model for Person Re-identification," PRCV, 2018

Huai Qin, Zhixiong Pi, Changqian Yu, Changxin Gao, Jin-Gang Yu, Nang Sang, "Spatially Attentive Correlation Filters for Visual Tracking," ICIP, 2018

Kezhou Chen, Yang Chen, Chuchu Han, Nong Sang, Changxin Gao, Ruolin Wang, "Improving Person Re-Identification by Adaptive Hard Sample Mining," ICIP, 2018

Zihan Ni, Jia Chen, Nong Sang, Changxin Gao, Leyuan Liu, "Light YOLO for High-Speed Gesture Recognition," ICIP, 2018.

Changqian Yu#, Jingbo Wang#, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation," European Conference on Computer Vision (ECCV), 2018 [paper] [code]  (# indicates equal contribution)

Yi He, Jun Han*, Nong Sang, Zhiguo Qu, Changxin Gao, "Chronological Video Synopsis via Events Rearrangement Optimization," Chinese Journal of Electronics, 27(2):399-404, 2018

Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma, "Spatial and Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification," Pattern Recognition, vol. 81, pp. 81-94, 2018. [paper

Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, and Nong Sang*. "Discriminative Part Selection For Human Action Recognition," IEEE Transactions on Multimedia, 20(4):769-780, 2018 [paper]

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "Learning a Discriminative Feature Network for Semantic Segmentation," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2018  [paper] [code]

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Learning a Discriminative Prior for Blind Image Deblurring," IEEE/CVF Computer Vision and Pattern Recognition Conference (CVPR), 2018 [paper] [project]

Jin Wang, Zheng Wang, Chao Liang, Changxin Gao*, Nong Sang, "Equidistance Constrained Metric Learning for Person Re-identification", Pattern Recognition, vol. 74, pp. 38-51, 2018.  [paper] [code

Kaibo Yao, Nong Sang, Changxin Gao, "A Cuboid Bi-Level Log Operator for Action Classification," IEEE Access, 2018, 6: 54147-54157

Yuanjie Shao, Nong Sang*, Changxin Gao, Representation Space-Based Discriminative Graph Construction for Semisupervised Hyperspectral Image Classification, IEEE Signal Processing Letters, 25(1):35-39, 2018

2017

Leyuan Liu, Jingying Chen*, Changxin Gao, Nong Sang. "A low-cost real-time face tracking system for ITSs and SDASs," Software: Practice Experience, 47(8):1111-1126, 2017 [paper]

Yuanjie Shao, Changxin Gao, Nong Sang*. "A Discriminant Sparse Representation Graph-based Semi-supervised Learning for Hyperspectral Image Classification," Multimedia Tools and Applications, 76(8):10959-10971, 2017 [paper]

Jin Wang, Zheng Wang, Changxin Gao*, Nong Sang, Rui Huang, "DeepList: Learning Deep Features with Adaptive Listwise Constraint for Person Re- identification," IEEE Transactions on Circuits and Systems for Video Technology, 27(3):513-524, 2017. [paper] [code]

Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang*, "Robust Visual Tracking Using Exemplar-based Detectors," IEEE Transactions on Circuits and Systems for Video Technology, 27(2):300-312, 2017 [paper] [project

Yi He, Nong Sang*, Changxin Gao, Jun Han, "Online Unsupervised Learning Classification of Pedestrian and Vehicle for Video Surveillance," Chinese Journal of Electronics, 26(1):145-151, 2017. [paper]

Shiwei Zhang, Changxin Gao*, Feifei Chen, Sihui Luo, and Nong Sang. "Group Sparse Based Mid-level Representation For Action Recognition," IEEE Transactions on Systems, Man, and Cybernetics: Systems, 47(4):660-672, 2017. [paper]

Yuanjie Shao, Nong Sang*, Changxin Gao, Li Ma, "Probabilistic Class Structure Regularized Sparse Representation Graph for Semi-Supervised Hyperspectral Image Classification," Pattern Recognition, vol. 63, pp. 102-114, 2017.  [paper]

Yi He, Zhiguo Qu*, Changxin Gao, Nong Sang, "Fast Online Video Synopsis Based on Potential Collision Graph," IEEE Signal Processing Letters, 24(1):22- 26, 2017 [paper]

Yi He, Changxin Gao*, Nong Sang, Zhiguo Qu, Jun Han, "Graph Coloring based Surveillance Video Synopsis," Neurocomputing,   vol.225, pp.64-79, 2017. [paper]

2016

Jin Wang, Junkang Zhu, Zheng Wang, Changxin Gao, Nong Sang, Rui Huang. "Contextual Similarity Regularized Metric Leaning for Person Re- identification," ICPR, 2016. [code]

Chang Han, Nong Sang, Changxin Gao. "A Hyperspectral Image Restoration Method based on Analysis Sparse Filter," ICPR, 2016.

Jun Xiang, Jianhua Hou, Changxin Gao, Nong Sang. "Data Association Based Multi-target Tracking Using a Joint Formulation," Asian Conference on Computer Vision (ACCV), 2016.

Jing Li, Nong Sang, Changxin Gao. "Local Fractional Order Derivative Vector Quantization Pattern for Face Recognition," Asian Conference on Computer Vision (ACCV), 2016.

Changxin Gao, Jin Wang, Leyuan Liu, Jin-Gang Yu, Nong Sang. "Temporally Aligned Pooling Representation for Video-based Person Re-identification,"ICIP, 2016, pp. 4284-4288. [paper]

Changxin Gao, Nong Sang, Rui Huang*, "Spatial Multi-scale Gradient Orientation Consistency for Place Instance and Scene Category Recognition," Information Sciences, vol. 372, pp. 84-97, 2016. [paper

Xiaoqin Kuang, Nong Sang*, Changxin Gao, "Object Localization with Mid-level Part Detectors," Neurocomputing, vol. 212, pp. 58-64, 2016. [paper]

Changxin Gao, Huizhang Shi, Jin-Gang Yu*, Nong Sang. "Enhancement of ELDA Tracker Based on CNN Features and Adaptive Model Update," Sensors, 16(4):545, 2016 [paper]

Jing Li, Nong Sang*, Changxin Gao, "Face recognition with Riesz binary pattern," Digital Signal Processing, vol.51, pp.196-201, 2016 [paper

Jin-Gang Yu, Changxin Gao*, Jinwen Tian. "Collaborative Multicue Fusion using the Cross-diffusion Process for Salient Object Detection," Journal of the Optical Society of America A-Optics Image Science and Vision, 33(3):404-415, 2016. [paper]

Chang Han, Hongyan Zhang*, Changxin Gao, Cheng Jiang, Nong Sang, Liangpei Zhang. "A Remote Sensing Image Fusion Method Based on the Analysis Sparse Model," IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 9(1):439-453, 2016.  [paper

Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, "Hough Forest based Association Framework with Occlusion Handling for Multiple Targets Tracking," IEEE Signal Processing Letters, 23(2):257-261, 2016. [paper] [project]  

Jun Xiang, Nong Sang, Jianhua Hou, Rui Huang, Changxin Gao*, "Multi-target Tracking Using Hough Forest Random Field," IEEE Transactions on Circuits and Systems for Video Technology, 26(11):2028-2042, 2016. [paper] [project]  

Jin-Gang Yu, Gui-Song Xia, Changxin Gao*, Ashok Samal, "A Computational Model for Object-Based Visual Saliency: Spreading Attention along Gestalt Cues," IEEE Transactions on Multimedia, 18(2):273-286, 2016 [paper]

Jing Li, Nong Sang*, Changxin Gao, "Completed Local Similarity Pattern for Color Image Recognition," Neurocomputing, vol.182, pp.111-117, 2016 (paper

Jin Wang, Nong Sang*, Zheng Wang, Changxin Gao, "Similarity Learning with Top-heavy Ranking Loss for Person Re-identification," IEEE Signal Processing Letters, 23(1):84-88, 2016. [paper] [code]

Jing Li*, Nong Sang, Changxin Gao, "LEDTD: Local Edge Direction and Texture Descriptor for Face Recognition," Signal Processing: Image Communication, vol. 41, pp. 40-45, 2016 [paper

2015

Huizhang Shi, Changxin Gao, Nong Sang, "Using Consistency of Depth Gradient to Improve Visual Tracking in RGB-D Sequences," Chinese Automation Congress (CAC) 2015, pp. 518-522.

Jin Wang, Changxin Gao, Jing Hu, Nong Sang. "DeNet: An Explicit Distance Ensemble Model for Person Re-identification," ACPR 2015, pp. 21-25. [paper] (oral) (Best student paper award)

Lerenhan Li, Luxin Yan, Nong Sang, Changxin Gao, Jing Hu. "Aero-thermal Radiation Correction via Multi-scale Bias Field Estimation," ACPR 2015, pp. 246-250. [paper]

Shiwei Zhang, Nong Sang, Changxin Gao, Feifei Chen, Jing Hu. "Mid-Level Parts Mined By Feature Selection For Action Recognition," ACPR 2015, pp. 619-623. [paper]

Jing Li, Nong Sang*, Changxin Gao, "Log-Gabor Weber Descriptor for Face Recognition," Journal of Electronic Imaging, 24(5):053014, 2015.

Yuanjie Shao, Changxin Gao, Nong Sang, "A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image Classification," Chinese Conference on Computer Vision (CCCV), 2015, pp. 160-167. (oral) [paper]

Xiaoqin Kuang, Nong Sang, Feifei Chen, Changxin Gao, Runmin Wang, "Mixture Models for Object Detection," Chinese Conference on Computer Vision (CCCV), 2015, pp. 317-324. (oral) [paper]

Runmin Wang, Nong Sang*, Changxin Gao, "Text Detection Approach Based on Confidence Map and Context Information," Neurocomputing, vol. 157, pp. 153-165, 2015. [paper]

Runmin Wang, Nong Sang*, Changxin Gao. "Scene Text Identification by Leveraging Mid-level Patches and Context Information," IEEE Signal Processing Letters, 22(7):963-967, 2015. [paper]

Feifei Chen, Nong Sang, Xiaoqin Kuang, Haitao Gan, and Changxin Gao*. "Action Recognition Through Discovering Distinctive Action Parts," Journal of the Optical Society of America A-Optics Image Science and Vision, 32(2):173-185, 2015. [paper]

2014

Jing Li, Nong Sang, Changxin Gao, "Log-Gabor Weber Descriptor for Face Recognition," ACCV Workshops, 2014 [paper

Xiaoqin Kuang, Nong Sang, Feifei Chen, Runmin Wang, Changxin Gao. "Hough Voting with Distinctive Mid-Level Parts for Object Detection," CCPR, 2014, pp. 305-313. (oral) [paper]

Runmin Wang, Nong Sang, Changxin Gao, Xiaoqin Kuang, Jun Xiang. "Text Detection in Natural Scene Images Leveraging Context Information," CCPR, 2014, pp.444-454. (oral) [paper]

Changxin Gao, Feifei Chen, Jin-Gang Yu, Rui Huang, Nong Sang. "Exemplar-based Linear Discriminant Analysis for Robust Object Tracking," ICIP, 2014, pp.388-392. [paper]

Feifei Chen, Nong Sang, Changxin Gao, Xiaoqin Kuang. "Discovering Distinctive Action Parts for Action Recognition," ICIP, 2014, pp.1520-1524. [paper]

Feifei Chen, Nong Sang*, Changxin Gao, “A hierarchical feature graph matching method for recognition of complex human activities,” OPTIK-International Journal for Light and Electron Optics. 2014, 125(16):4347-4351. [paper

Changxin Gao*, Nong Sang, Rui Huang. "Biologically Inspired Scene Context for Object Detection Using a Single Instance," PLoS ONE, 2014, 9(5):e98477. [paper]

Jiang Jiang, Haitao Gan, Liangwei Jiang, Changxin Gao, Nong Sang*, "Semi-supervised Discriminant Analysis and Sparse Representation-based self- training for Face Recognition," OPTIK-International Journal for Light and Electron Optics, 2014, 125(9): 2170-2174. [paper]

2013

Yonggang He, Nong Sang*, and Changxin Gao, "Multi-structure local binary patterns for texture classification", Pattern Analysis and Applications, 2013, 16(4):595-607. [paper] [code]

2012

Changxin Gao, Nong Sang, Rui Huang, "Online Transfer Boosting for object tracking," Proceedings of International Conference on Pattern Recognition (ICPR), 2012, pp:906-909. [paper] [project page]

Changxin Gao, Nong Sang*, and Rui Huang, "Instance-based attention: where could humans look first when searching for an object instance," Optics Letters, 2012, 37(1):76-78. [paper]

2011

Changxin Gao, and Nong Sang, "Biologically inspired template matching using scene context," Proceedings of IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPR Workshops), Colorado Springs, United States, 2011. 

Changxin Gao, and Nong Sang, "Unifying local features and filterbank features in the spatial pyramid matching model," Chinese Journal of Electronics, 2011, 39(9):2034-2038. (In Chinese) 高常鑫, 桑农, "整合局部特征和滤波器特征的空间金字塔匹配模型," 电子学报, 2011, 39(9):2034-2038.

Chunyuan Li, Changxin Gao, Sirui Xing, Abdessamad Ben Hamza, "Fast shape re-ranking with neighborhood induced similarity measure," International Conference on Computer Analysis of Image and Patterns (CAIP). Lecture Notes in Computer Science, 2011, Volume 6854, 261-268.

Zhiping Dan, Xi Chen, Haitao Gan, Changxin Gao, "Locally Adaptive Shearlet Denoising Based on Bayesian MAP Estimate," International Conference on Image and Graphics (ICIG), 2011, pp.28-32.

Qingqing Zheng, Nong Sang*, Changxin Gao, Leyuan Liu, "Improved texture image segmentation method by region merging," Journal of Huazhogn University of Science and Technology (Nature Science Edition) 2011, 39(5):109-112. (In Chinese)

2010

Changxin Gao, Nong Sang, and Qiling Tang, "On selection and combination of weak learners in AdaBoost," Pattern Recognition letters, 2010, 31(9):991- 1001. [paper]

Changxin Gao, Nong Sang, Jun Gao, and Qiling Tang, "Cascade of hierarchical context and appearance for object detection," Optical Engineering. 2010, 49(3):037003-1~037003-7. [paper]

Qingqing Zheng, Nong Sang, Leyue Liu, Changxin Gao, "Textured images segmentation based on modulation models," Optical Engineering, 2010, 49(9): 097009-1--097009-9.

Yonggang He, Nong Sang, and Changxin Gao, "Pyramid-based multi-structure local binary pattern for texture classification," Asian Conference on Computer Vision (ACCV). 2010, vol. 3, pp. 1435-1446. [paper] [code]

2009

Changxin Gao, Nong Sang, Jun Gao, Lamei Zou and Qiling Tang, "Generic object recognition with biologically-inspired features," The Fourth International Conference on Bio-Inspired Computing: Theories and Applications (BIC-TA), Beijing, China, 2009, pp. 37-43.

Jun Gao, Nong Sang, Changxin Gao, Qiling Tang, and Jun Sang, "Visual codebook construction for class-specific recognition," Optical Engineering, 2009, 48(7):077201-1~077201-5. 

Changxin Gao, Jun Gao, Qiling Tang, and Nong Sang, "Object detection with geometric context of keypoints described as lifetime," International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR), China, 2009, Vol. 7496, pp. 749606-1~749606-6.