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, 2024[paper][code]

Guilin Zhu, Runmin Wang, Yingying Liu, Zhenlin Zhu, Changxin Gao, Li Liu, Nong Sang, "Improving 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]

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]

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]

Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang*, Jingdong Wang*, "Lite-HRNet: A Lightweight High-Resolution Network," CVPR, 2021 [paper]

Changqian Yu, Yifan liu, Changxin Gao, Chunhua Shen, Nong Sang*, "Representative Graph Neural Network," ECCV, 2020 [paper]

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]

Changqian Yu, Jingbo Wang, Changxin Gao*, Gang Yu, Chunhua Shen, Nong Sang, "Context Prior for Scene Segmentation," CVPR, 2020 [paper]

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," CVPR, 2020 [paper]

Changqian Yu#, Jingbo Wang#, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation," ECCV, 2018 [paper][code]

Changqian Yu, Jingbo Wang, Chao Peng, Changxin Gao*, Gang Yu, Nong Sang, "Learning a Discriminative Feature Network for Semantic Segmentation," CVPR, 2018  [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]

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 

Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Wei-Shi Zheng, Nong Sang, "Weakly Supervised Text-Based Person Re-Identification" 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" ICCV, 2021[paper]

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]

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," ECCV, 2020 [paper][code]

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]

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].  

Chuchu Han#, Jiacheng Ye#, Yunshan Zhong, Xin Tan, Chi Zhang, Changxin Gao*, Nong Sang, "Re-ID Driven Localization Refinement for Person Search," ICCV, 2019 [paper]

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

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

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 (TCSVT), 27(3):513-524, 2017. [paper] [code]

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

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]

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," ICCV, 2023 [paper][code]

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), 2023.

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]

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," CVPR, 2023 [paper]

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]

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]

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]

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," 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," CVPR, 2022 [paper]

Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang*, "OadTR: Online Action Detection With Transformers," ICCV, 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," CVPR, 2021 [paper]

Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao*, Changxin Gao, Nong Sang, "Self-Supervised Learning for Semi-Supervised Temporal Action Proposal," CVPR, 2021 [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," ECCV, 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

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

Shiwei Zhang, Changxin Gao, Jing Zhang, Feifei Chen, and Nong Sang*. "Discriminative Part Selection For Human Action Recognition," IEEE Transactions on Multimedia (TMM), 20(4):769-780, 2018 [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 (TSMC), 47(4):660-672, 2017. [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]

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].

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 (TCSVT), 27(2):300-312, 2017 [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 (TCSVT), 26(11):2028-2042, 2016. [paper] [project]   

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

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

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] 

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," NeurIPS, 2023 [paper]

Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang, "Towards General Low-Light Raw Noise Synthesis and Modeling," ICCV, 2023 [paper][project]Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, "Domain Adaptation for Image Dehazing," CVPR, 2020 [paper] [code]

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]

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.

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]

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 (IJCV), 127(8):1025-1043, 2019 [paper] [project] [code]

Lerenhan Li, Jinshan Pan, Wei-Sheng Lai, Changxin Gao, Nong Sang*, Ming-Hsuan Yang, "Learning a Discriminative Prior for Blind Image Deblurring," CVPR, 2018 [paper] [project] 

Xueqi Hu, Qiusheng Huang, Zhengyi Shi, Siyuan Li, Changxin Gao, Li Sun*, Qingli Li, "Style Transformer for Image Inversion and Editing," CVPR, 2022 [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]

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

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

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

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 (J-STARS), 9(1):439-453, 2016.  [paper] 

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 (TMM), 18(2):273-286, 2016 [paper]

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

1st place of ActivityNet Temporal Action Localization task, 2020 [report] 

1st place of  HACS Temporal Action Localization task, 2020  [report]

1st place of ActivityNet Temporal Action Localization task, 2021 [report]  

1st place of  HACS Temporal Action Localization challenge, supervised learning track, 2021 [report]

1st place of  EPIC-Kitchens Action Detection task, 2021 [report]

1st place of ActivityNet Temporal Action Localization task, 2022 [report]