邵远杰

2017-09-25 10:42:55


    





个人简介

邵远杰,华中科技大学电信学院讲师。2010年毕业于中国地质大学(武汉)通信工程专业,获工学学士学位,2013年毕业于中国地质大学(武汉)信息与通信工程专业,获工学硕士学位,2018年毕业于华中科技大学控制科学与工程专业,获工学博士学位,201811月至20222月为华中科技大学人工智能与自动化学院博士后。主要从事计算机视觉和模式识别等方面的研究工作。

邮箱:shaoyuanjie@hust.edu.cn

办公地址:国家防伪工程技术研究中心205

主要研究方向:小样本学习、半监督学习、图像增强


Journals

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

2.Juncai Peng, Yuanjie Shao*, Nong Sang, Changxin Gao, Joint Image Deblurring and Matching with Feature-based Sparse Representation Prior, Pattern Recognition, 103:107300 (2020).

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

4.Yuanjie Shao, Nong Sang, Yacheng Li, Wenhao Li, Changxin Gao, Joint Image Restoration and Matching Method Based on Distance-Weighted Sparse Representation prior. Pattern Recognition Letter, 135:160-166 (2020)

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

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

7. Yuanjie Shao, Nong Sang, Changxin Gao, Li Ma, Probabilistic class structure regularized sparse representation graph for semi-supervised hyperspectral image classification, Pattern Recognition, 2017, 63: 102-114

8. Yuanjie Shao, Changxin Gao, Nong Sang, A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image ClassificationMultimedia Tools and Application, 2017, 76(8): 10959-10971


           

Conference

1.Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Wei-Shi Zheng, Nong Sang, Weakly Supervised Text-based Person Re-Identification, 2021 IEEE International Conference on Computer Vision (ICCV), 2021.

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

3. Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao*, Changxin Gao, Nong Sang, Self-Supervised Learning for Semi-Supervised Temporal Action Proposal, 2021 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2021.

4.Yuanjie Shao, Lerenhan Li, Wenqi Ren, Changxin Gao, Nong Sang*, Domain Adaptation for Image Dehazing, 2020 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2020, Seattle, USA, 2020.

5.Shizhen Zhao, Changxin Gao*, Yuanjie Shao, Lerenhan Li, Changqian Yu, Zhong Ji, Nong Sang, GTNet: Generative Transfer Network for Zero-Shot Object Detection, The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), 2020

6.Yuanjie Shao, Nong Sang, Changxin Gao and Wei Lin, Joint Image Restoration and Matching Based on Distanced-Weighted Sparse Representation, ICPR, 2018

7.Yuanjie Shao, Changxin Gao, Nong Sang, A Discriminant Sparse Representation Graph-Based Semi-Supervised Learning for Hyperspectral Image ClassificationThe 1st CCF Chinese Conference on Computer Vision, CCCV,2015