邵远杰副教授是国家防伪工程技术研究中心和数据科学与计算机视觉实验室的骨干教师。中心长期招收博士后，博士、硕士研究生，本科实习生， 欢迎电子信息、通信工程、数学、网络安全、人工智能、自动控制、计算机科学方向的同学参观、报考或推荐免试！实验室网址为http://bmal.hust.edu.cn。

2023届研究生毕业集体合照

研究生科研学习环境

<>   国家自然科学基金青年项目，“基于深度自编码器构图的高光谱图像半监督分类方法研究” (项目编号：61901184)，2020.1-2022.12，项目负责人。

<>   GF科技重点实验室基金项目，“基于深度学习的XXXX小样本场景分类方法研究”，2020.01-2021.12，项目负责人。

<>   国家重点研发项目，“出入境证件自主可控新型聚合物材料及智能化真伪识别装备研究”，（项目编号：2022YFC3301000），2022.10-2025.9，子课题负责人。

<>   国家自然科学基金联合基金项目，“复杂视频监控场景中人群异常行为分析”，(项目编号：U22B2053)，2023.1-2026.12，项目参与人。

<>   国家重点研发项目，“面向检察办案的电子化签名与电子捺印全链条可信关键技术研究”，（项目编号：2022YFC3301700），2022.10-2025.9，项目参与人。

<>   国家自然科学基金重点项目，“高速飞行器光学成像末制导目标实时识别方法与关键技术” (项目编号：61433007)，2015.1-2019.12，项目参与人。

<>   国家自然科学基金面上项目，“面向视频行人重识别的特征表达与度量学习方法研究” (项目编号：61876210)，2019.1-2022.12，项目参与人。

<>   国家自然科学基金青年项目，“基于深度自编码器构图的高光谱图像半监督分类方法研究” (项目编号：61901184)，2020.1-2022.12，项目负责人。

<>   GF科技重点实验室基金项目，“基于深度学习的XXXX小样本场景分类方法研究”，2020.01-2021.12，项目负责人。

<>   国家重点研发项目，“出入境证件自主可控新型聚合物材料及智能化真伪识别装备研究”，（项目编号：2022YFC3301000），2022.10-2025.9，子课题负责人。

<>   国家自然科学基金联合基金项目，“复杂视频监控场景中人群异常行为分析”，(项目编号：U22B2053)，2023.1-2026.12，项目参与人。

<>   国家重点研发项目，“面向检察办案的电子化签名与电子捺印全链条可信关键技术研究”，（项目编号：2022YFC3301700），2022.10-2025.9，项目参与人。

<>   国家自然科学基金重点项目，“高速飞行器光学成像末制导目标实时识别方法与关键技术” (项目编号：61433007)，2015.1-2019.12，项目参与人。

<>   国家自然科学基金面上项目，“面向视频行人重识别的特征表达与度量学习方法研究” (项目编号：61876210)，2019.1-2022.12，项目参与人。

Journal Article

<>   Wenxiao Wu, Yuanjie Shao, Changxin Gao, Jing-Hao Xue, NongSang, Query-centric distance modulator for few-shot classification. Pattern  Recognition, 2024: 110380.

<>   Zhimeng Xin, Shiming Chen, Tianxu Wu, Yuanjie Shao, WeipingDing, Xinge You, Few-shot object detection: Research advances and challenges. Information  Fusion, 2024: 102307.

<>   Ziwen Li, Yuanjie Shao*, Feng Zhang, Jinpu Zhang, YuehuanWang*, Nong Sang, Difficulty-aware Dynamic Network for Lightweight ExposureCorrection. IEEE Transactions on Circuits and Systems for Video Technology,2023.

<>   Yuanjie Shao, Wenxiao Wu, Xinge You, ChangxinGao, Nong Sang, Improving the Generalization of MAML in Few-shot Classificationvia Bi-level Constraint, IEEE Transactions on Circuits and Systems for VideoTechnology, 2023, 33(7): 3284-3295.

<>   Changqian Yu, Yuanjie Shao, Changxin Gao, Nong Sang*, CondNet:Conditional Classifier for Scene Segmentation. IEEE Signal Processing Letters.28: 758-762 (2021).

<>   Zhixiong Pi, Yuanjie Shao, Changxin Gao, Nong Sang,Instance-based feature pyramid for visual object tracking. IEEE Transactionson Circuits and Systems for Video Technology, 2021, 32(6): 3774-3787.

<>   Juncai Peng, Yuanjie Shao*, NongSang, Changxin Gao, Joint Image Deblurring and Matching with Feature-basedSparse Representation Prior, Pattern Recognition, 103:107300(2020).

<>   Yuanjie Shao, Nong Sang, Juncai Peng, Changxin Gao, Joint Image Deblurring andMatching with Blurred Invariant-Based Sparse Representation Prior, Complexity,2019 (2019).

<>   Yuanjie Shao, Nong Sang, Yacheng Li, Wenhao Li, Changxin Gao, Joint ImageRestoration and Matching Method Based on Distance-Weighted SparseRepresentation prior. Pattern Recognition Letter,135:160-166 (2020).

<>   Yuanjie Shao, Nong Sang, Chgangxin Gao, Li Ma, Spatial and Class Structure Regularized Sparse Representation Graph forSemi-Supervised Hyperspectral Image Classification, Pattern Recognition,2018, 81: 81-94

<>   Yuanjie Shao, Nong Sang, Chgangxin Gao, Representation Space-BasedDiscriminative Graph Construction for Semisupervised Hyperspectral ImageClassification, IEEE Signal Processing Letters, 2018, 25(1): 35-39.

<>   Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma, Probabilistic class structureregularized sparse representation graph for semi-supervised hyperspectral imageclassification, Pattern Recognition, 2017, 63: 102-114.

<>   Yuanjie Shao, Changxin Gao, Nong Sang, “A Discriminant SparseRepresentation Graph-Based Semi-Supervised Learning for Hyperspectral ImageClassification”，Multimedia Tools and Application, 2017,76(8): 10959-10971.

Conference paper

<>   Xiangheng Shan, Dongyue Wu, Guilin Zhu, Yuanjie Shao*, NongSang, Changxin Gao, Open-Vocabulary Semantic Segmentation with Image EmbeddingBalancing, IEEE/CVF Computer Vision and Pattern Recognition Conference(CVPR), 2024.

<>   Ziwen Li, Feng Zhang, Meng Cao, Jinpu Zhang, Yuanjie Shao,Yuehuan Wang, Nong Sang, Real-Time Exposure Correction via CollaborativeTransformations and Adaptive Sampling, IEEE/CVF Computer Vision and PatternRecognition Conference (CVPR), 2024.

<>   Yuhang Wu, Tengteng Huang, Haotian Yao, Chi Zhang, Yuanjie Shao,Chuchu Han, Changxin Gao, Nong Sang, Multi-Centroid Representation Network forDomain Adaptive Person Re-ID, AAAI Conference on Artificial Intelligence(AAAI), 2022.

<>   Ziming Hong, Shiming Chen, Guo-Sen Xie, Wenhan Yang, Jian Zhao, YuanjieShao, Qinmu Peng, Xinge You, Semantic Compression Embedding for GenerativeZero-Shot Learning, In International Joint Conference on ArtificialIntelligence (IJCAI). 2022, 7: 956-963.

<>   Shizhen Zhao, Changxin Gao*, YuanjieShao, Wei-Shi Zheng, Nong Sang, Weakly Supervised Text-based PersonRe-Identification, 2021 IEEE International Conference on Computer Vision (ICCV),2021.

<>   Xiang Wang, Shiwei Zhang*, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang*, OadTR:Online Action Detection with Transformers, 2021 IEEE International Conferenceon Computer Vision (ICCV), 2021.

<>   Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao*, Changxin Gao, Nong Sang, Self-Supervised Learningfor Semi-Supervised Temporal Action Proposal, 2021 IEEE Conference on ComputerVision and Pattern Recognition (CVPR), 2021.

<>   Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, DomainAdaptation for Image Dehazing, 2020 IEEE Conference on Computer Vision andPattern Recognition (CVPR), 2020, Seattle, USA, 2020.

<>   Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li,Changqian Yu, Zhong Ji, Nong Sang, GTNet: Generative Transfer Network forZero-Shot Object Detection, The Thirty-Fourth AAAI Conference on ArtificialIntelligence (AAAI), 2020.

<>   Yuanjie Shao, NongSang, Changxin Gao and Wei Lin, Joint Image Restoration and Matching Based on Distanced-WeightedSparse Representation, ICPR, 2018.

<>   Yuanjie Shao, ChangxinGao, Nong Sang, “A Discriminant Sparse RepresentationGraph-Based Semi-Supervised Learning for Hyperspectral Image Classification”，The 1st CCF Chinese Conference on Computer Vision, CCCV,2015.