Feng Zhang#, Haoyou Deng#, Zhiqiang Li, Lida Li, Bin Xu, Qingbo Lu, Zisheng Cao, Minchen Wei, Changxin Gao*, Nong Sang, Xiang Bai, "High-resolution Photo Enhancement in Real-time: A Laplacian Pyramid Network," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
Ruochen Zheng, Jiahao Hong, Changxin Gao*, Nong Sang, "REPAIR: Rank correlation and noisy pair half-replacing with memory for noisy correspondence," IEEE Transactions on Multimedia (TMM), accepted.
Ruochen Zheng, Chuchu Han, Changxin Gao*, Nong Sang, "Linear Feature Source Prediction and Recombination Network for Noisy Label Learning," IEEE Transactions on Circuits and Systems for Video Technology (TSCVT), 35(2): 1648 - 1659, 2025 [paper]
Runmin Wang, Jielei Hei, Minghao Liu, Zukun Wan, Juan Xu, Xiaofei Cao, Xuan He, Yajun Ding, Changxin Gao*, and Nong Sang, "CR2-Net: Component Relationship Reasoning Network for Traffic Text Detection," IEEE Transactions on Intelligent Vehicles (TIV), 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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
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]
Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao*, "VideoLucy: Deep Memory Backtracking for Long Video Understanding," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Jialong Zuo, Yongtai Deng, Mengdan Tan, Rui Jin, Dongyue Wu, Nong Sang, Liang Pan, Changxin Gao*, "ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Guilin Zhu, Runmin Wang, Yuanjie Shao, Wei dong Yang*, Nong Sang, Changxin Gao*, "Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Chen Li, Huiying Xu, Changxin Gao*, Zeyu Wang, Yun Liu, Xinzhong Zhu, "Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Dongyue Wu, Zilin Guo, Jialong Zuo, Nong Sang, Changxin Gao*, "Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration," IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [paper]
Zhenghao Gao#, Shengjie Xu#, Zijing Li, Meixi Chen, Chaojian Yu, Yuanjie Shao, Changxin Gao*, "FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling," IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [paper]
Guilin Zhu, Dongyue Wu, Changxin Gao*, Runmin Wang, Wei dong Yang, Nong Sang, "Adaptive Prototype Replay for Class Incremental Semantic Segmentation," AAAI Conference on Artificial Intelligence (AAAI) , 2025 [paper][project]
Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao*, Kai Han, "L-Man: A Large Multi-modal Model Unifying Human-centric Tasks," AAAI Conference on Artificial Intelligence (AAAI) , 2025 [paper][project]
Dongyue Wu, Zilin Guo, Li Yu, Nong Sang, Changxin Gao*, "Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation," AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper][project]
Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao*, "Cross-video Identity Correlating for Person Re-identification Pre-training," Annual Conference on Neural Information Processing Systems (NeurIPS),2024 [paper][project]
Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao*, Nong Sang, Jingdong Wang, "PLIP: Language-Image Pre-training for Person Representation Learning," Annual Conference on Neural Information Processing Systems (NeurIPS),2024 [paper][project]
Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao*, Changxin Gao*, "Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos," ACM Multimedia (MM), 2024 [paper][project]
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 [paper][code&dataset]
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 [paper][code]
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]
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," Annual Conference on Neural Information Processing Systems (NeurIPS), 2023 [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]
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]
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 Multimedia (MM), 2021 [paper] [project][code]
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 Conference on Artificial Intelligence (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," European Conference on Computer Vision (ECCV), 2020 [paper][code]
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] [code]
Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, "GTNet: Generative Transfer Network for Zero-Shot Object Detection," AAAI Conference on Artificial Intelligence (AAAI), 2020 [paper][code]
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 [paper]
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]
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]
Feng Zhang#, Haoyou Deng#, Zhiqiang Li, Lida Li, Bin Xu, Qingbo Lu, Zisheng Cao, Minchen Wei, Changxin Gao*, Nong Sang, Xiang Bai, "High-resolution Photo Enhancement in Real-time: A Laplacian Pyramid Network," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
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]
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]
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]
Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao*, "VideoLucy: Deep Memory Backtracking for Long Video Understanding," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Jialong Zuo, Yongtai Deng, Mengdan Tan, Rui Jin, Dongyue Wu, Nong Sang, Liang Pan, Changxin Gao*, "ReID5o: Achieving Omni Multi-modal Person Re-identification in a Single Model," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Guilin Zhu, Runmin Wang, Yuanjie Shao, Wei dong Yang*, Nong Sang, Changxin Gao*, "Continual Gaussian Mixture Distribution Modeling for Class Incremental Semantic Segmentation," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Chen Li, Huiying Xu, Changxin Gao*, Zeyu Wang, Yun Liu, Xinzhong Zhu, "Towards Single-Source Domain Generalized Object Detection via Causal Visual Prompts," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
Dongyue Wu, Zilin Guo, Jialong Zuo, Nong Sang, Changxin Gao*, "Partial Forward Blocking: A Novel Data Pruning Paradigm for Lossless Training Acceleration," IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [paper]
Zhenghao Gao#, Shengjie Xu#, Zijing Li, Meixi Chen, Chaojian Yu, Yuanjie Shao, Changxin Gao*, "FastJSMA: Accelerating Jacobian-based Saliency Map Attacks through Gradient Decoupling," IEEE/CVF International Conference on Computer Vision (ICCV), 2025 [paper]
Guilin Zhu, Dongyue Wu, Changxin Gao*, Runmin Wang, Wei dong Yang, Nong Sang, "Adaptive Prototype Replay for Class Incremental Semantic Segmentation," AAAI Conference on Artificial Intelligence (AAAI) , 2025 [paper][project]
Jialong Zuo, Ying Nie, Tianyu Guo, Huaxin Zhang, Jiahao Hong, Nong Sang, Changxin Gao*, Kai Han, "L-Man: A Large Multi-modal Model Unifying Human-centric Tasks," AAAI Conference on Artificial Intelligence (AAAI) , 2025 [paper][project]
Dongyue Wu, Zilin Guo, Li Yu, Nong Sang, Changxin Gao*, "Structural Pruning via Spatial-aware Information Redundancy for Semantic Segmentation," AAAI Conference on Artificial Intelligence (AAAI), 2025 [paper][project]
Jialong Zuo, Ying Nie, Hanyu Zhou, Huaxin Zhang, Haoyu Wang, Tianyu Guo, Nong Sang, Changxin Gao*, "Cross-video Identity Correlating for Person Re-identification Pre-training," Annual Conference on Neural Information Processing Systems (NeurIPS),2024 [paper][project]
Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao*, Nong Sang, Jingdong Wang, "PLIP: Language-Image Pre-training for Person Representation Learning," Annual Conference on Neural Information Processing Systems (NeurIPS),2024 [paper][project]
Zhengze Xu, Mengting Chen, Zhao Wang, Linyu Xing, Zhonghua Zhai, Nong Sang, Jinsong Lan, Shuai Xiao*, Changxin Gao*, "Tunnel Try-on: Excavating Spatial-temporal Tunnels for High-quality Virtual Try-on in Videos," ACM Multimedia (MM), 2024 [paper][project]
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 [paper][code&dataset]
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 [paper][code]
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]
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," Annual Conference on Neural Information Processing Systems (NeurIPS), 2023 [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]
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]
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 Multimedia (MM), 2021 [paper] [project][code]
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 Conference on Artificial Intelligence (AAAI), 2021 [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] [code]
Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, "GTNet: Generative Transfer Network for Zero-Shot Object Detection," AAAI Conference on Artificial Intelligence (AAAI), 2020 [paper][code]
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 [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]
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#, 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]
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]
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]
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]
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]
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]
Jialong Zuo, Yongtai Deng, Lingdong Kong, Jingkang Yang, Rui Jin, Yiwei Zhang, Nong Sang, Liang Pan, Ziwei Liu, Changxin Gao*, "VideoLucy: Deep Memory Backtracking for Long Video Understanding," Annual Conference on Neural Information Processing Systems (NeurIPS), 2025
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 [paper]
Jialong Zuo, Jiahao Hong, Feng Zhang, Changqian Yu, Hanyu Zhou, Changxin Gao*, Nong Sang, Jingdong Wang, "PLIP: Language-Image Pre-training for Person Representation Learning," Annual Conference on Neural Information Processing Systems (NeurIPS),2024 [paper][project]
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 [paper][code&dataset]
Feng Zhang#, Haoyou Deng#, Zhiqiang Li, Lida Li, Bin Xu, Qingbo Lu, Zisheng Cao, Minchen Wei, Changxin Gao*, Nong Sang, Xiang Bai, "High-resolution Photo Enhancement in Real-time: A Laplacian Pyramid Network," IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), accepted.
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," Annual Conference on Neural Information Processing Systems (NeurIPS), 2023 [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 Conference on Artificial Intelligence (AAAI), 2021 [paper]