更新日期:2022年7月9日
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姓 名
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陈轲
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性 别
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男
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出生年月
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1985年3月
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籍贯
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江苏无锡市
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民 族
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汉族
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政治面貌
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群众
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最后学历
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博士研究生
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最后学位
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哲学博士
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技术职称
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副教授
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导师类别
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硕导
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行政职务
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Email
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chenk@scut.edu.cn
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工作单位
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电子与信息学院
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邮政编码
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510641
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通讯地址
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五山路381号宏生科技楼601室
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单位电话
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020-87111435
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个人简介
2013年博士毕业于伦敦大学玛丽女王学院(Queen Mary, University of London),同年10月加入芬兰坦佩雷工业大学信号处理系任博士后研究员,2018年加入华南理工大学电信学院任副教授。入选2019年度广东省“珠江人才计划”青年拔尖人才,在重要的国际期刊和会议上发表论文90余篇,包括CVPR、ICCV、NeurIPS、AAAI、IJCAI等CCF-A类顶级国际会议和TPAMI、TCyber、Pattern Recognition等多个重要期刊,发表专著章节1篇,据Google scholar统计,论文被引用超过3000余次。申请人曾获得BICS 2016最佳论文奖(Best Paper Award)。作为负责人,目前承担1项国家自然科学基金(青年项目);作为课题负责人,参与广东省重大团队项目1项;同时参与多项省部级项目。
工作经历
2018.07-至今 华南理工大学 副教授
2013.10-2018.07 坦佩雷工业大学 博士后
教育经历
2009.09-2013.09 伦敦大学玛丽女王学院 博士
2007.09-2009.06 中山大学 硕士
2003.09-2007.06 中山大学 学士
研究领域
计算机视觉、深度学习、模式识别
科研项目
1. 国家自然科学基金青年项目,28万,2019-2021,主持;
2. 广东省“珠江人才计划”创新创业团队项目,2000万,2018-2023,课题负责人;
发表论文
近3年主要学术成果(*表示第一作者;#表示通讯作者):
[1] Yongwei Chen*, Zihao Wang*, Longkun Zou, KE CHEN#, Kui Jia#; Quasi-Balanced Self-Training on Noise-Aware Synthesis of Object Point Clouds for Closing Domain Gap, Proceedings of the European Conference on Computer Vision (ECCV), 2022. 计算机视觉三大顶会之一,CCF-B类顶会
[2] Zelin Xu, Yichen Zhang, KE CHEN#, Kui Jia#; BiCo-Net: Regress Globally, Match Locally for Robust 6D Pose Estimation, Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), 2022. CCF-A类顶会
[3] Chongsheng Zhang, Bin Wang, KE CHEN#, Ruixing Zong, Bo-feng Mo, Yi Men, George Almpanidis, Shanxiong Chen, Xiangliang Zhang; Data-Driven Oracle Bone Rejoining: A Dataset and Practical Self-Supervised Learning Scheme, Proceedings of the ACM SIGKDD Conference on Knowledge Discovery and Data Mining (SIGKDD), 2022. CCF-A类顶会
[4] Xuhui Yang, Yaowei Wang#, KE CHEN#, Yong Xu, Yonghong Tian; Fine-Grained Object Classification via Self-Supervised Pose Alignment, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022. CCF-A类顶会
[5] Longkun Zou, Hui Tang, KE CHEN#, Kui Jia#; Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2021, pp. 6403-6412. CCF-A类顶会
[6] Xuanxiang Lin, KE CHEN#, Kui Jia#; Object Point Cloud Classification via Poly-Convolutional Architecture Search, Proceedings of the ACM International Conference on Multimedia (ACM MM), 2021, pp. 807-815. CCF-A类顶会
[7] Shengheng Deng*, Xun Xu*, Chaozheng Wu, KE CHEN, Kui Jia#; 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021, pp. 1778-1787. CCF-A类顶会
[8] Jiehong Lin*, Hongyang Li*, KE CHEN, Jiangbo Lu, Kui Jia#; Sparse Steerable Convolutions: An Efficient Learning of SE(3)-Equivariant Features for Estimation and Tracking of Object Poses in 3D Space, Advances in Neural Information Processing Systems (NeurIPS), 2021, 34. CCF-A类顶会
[9] Hui Tang, Xiatian Zhu, KE CHEN, Kui Jia#, C. L. Philip Chen; Towards Uncovering the Intrinsic Data Structures for Unsupervised Domain Adaptation Using Structurally Regularized Deep Clustering, IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, early access. CCF-A类顶刊, SCI 1区
[10] Lulu Tang*, KE CHEN*, Chaozheng Wu, Yu Hong, Kui Jia#, Zhi-Xin Yang#; Improving Semantic Analysis on Point Clouds via Auxiliary Supervision of Local Geometric Priors. IEEE Transactions on Cybernetics, 2020, early access. CCF-B类期刊, SCI 1区
[11] Huanglin Yu, KE CHEN#, Kaiqi Wang, Yanlin Qian, Zhaoxiang Zhang, Kui Jia; Cascading Convolutional Color Constancy, Proceedings of the AAAI Conference on Artificial Intelligence (AAAI), 2020, pp. 12725-12732. CCF-A类顶会
[12] Yuxin Wen, Jiehong Lin, KE CHEN, C. L. Philip Chen, Kui Jia#; Geometry-aware Generation of Adversarial Point Clouds. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020, early access. CCF-A类顶刊, SCI 1区
[13] Yixiong Zou, Shanghang Zhang, KE CHEN, Yonghong Tian#, Yaowei Wang, José M. F. Moura; Compositional Few-Shot Recognition with Primitive Discovery and Enhancing, Proceedings of the ACM International Conference on Multimedia (ACM MM), 2020, pp. 156-164. CCF-A类顶会
[14] Zelin Xu, KE CHEN#, Kangjun Liu, Changxing Ding, Yaowei Wang, Kui Jia#; Classification of Single-View Object Point Clouds, arXiv preprint arXiv:2012.10042, 2020.
[15] Jiehong Lin, Xian Shi, Yuan Gao, KE CHEN, Kui Jia#; CAD-PU: A curvature-adaptive deep learning solution for point set upsampling, arXiv preprint arXiv:2009.04660, 2020.
[16] Kaiqi Wang, KE CHEN#, Kui Jia; Deep Cascade Generation on Point Sets, Proceedings of International Joint Conferences on Artificial Intelligence (IJCAI), 2019, pp. 3726-3732. CCF-A类顶会
[17] Longchuan Niu, KE CHEN, Kui Jia, Jouni Mattila; Efficient 3d visual perception for robotic rock breaking, Proceedings of 15th International Conference on Automation Science and Engineering (CASE), 2019, pp. 1124-1130.
[18] KE CHEN, Kui Jia, Heikki Huttunen#, Jiri Matas, Joni-Kristian Kamarainen; Cumulative Attribute Space Regression for Head Pose Estimation and Color Constancy, Pattern Recognition, 2019, 87, pp. 29-37. CCF-B类期刊, SCI 2区
教学活动
《模式识别》,研究生选修课。
《数字电子技术II》,本科必修课。
指导学生情况
与贾奎老师合作指导学生,在读硕士11名,博士3名。