研究方向

连续学习Continual Learning

  • 单任务连续学习 

成果1:“温故而知新”双目标优化的实例增量连续学习(AAAI-20)  [PDF] [Codes] [Slides]

成果2:小样本类增量连续学习 (CVPR-20 Oral)  [PDF] [Codes] [Slides]

 

视频监控Visual Surveillence

  • 多摄像头多目标跟踪与计数

成果1:基于贝叶斯损失(Bayesian Loss)的人群计数算法 (ICCV-19 Oral)  [PDF] [Codes] [Slides]

成果2:基于受限非负矩阵分解的跨摄像头多目标跟踪 (IEEE TIP-20) [PDF] [Codes] [Slides]

Y. He, X. Wei, X. Hong, W. Shi and Y. Gong, "Multi-Target Multi-Camera Tracking by Tracklet-to-Target Assignment," IEEE Transactions on Image Processing, vol. 29, pp. 5191-5205, 2020. DOI: 10.1109/TIP.2020.2980070

  • 跨模态行人重识别

成果1:基于X模态的红外-可见光跨模态行人重识别 (AAAI-20) [PDF] [Codes] [Slides]

  • 姿态识别与行为分析

成果1:基于网络结构搜索的姿态识别 (AAAI-20) [PDF] [Codes] [Slides]

 

缺陷检测DEFECT INSPECTION

 

深度学习模型结构与脆弱性分析MODEL STRUCTURE & VULNERABILITY AND ROBUSTNESS

 

人脸与微表情分析(FACIAL & MICRO-EXPRESSION ANALYSIS)

成果1:自发微表请检测与识别方法的对比研究(IEEE TAFFC2018) [PDF] [Codes] [Slides][Reports:MIT Technology Review][Reports:DailyMail]

Xiaobai Li, Xiaopeng Hong, Antti Moilanen, Xiaohua Huang, Thomas Pfister, Guoying Zhao, Matti Pietikäinen. Towards Reading Hidden Emotions: A Comparative Study of Spontaneous Micro-expression Spotting and Recognition Methods.

IEEE Transactions on Affective Computing, Vol. 9, No. 4, pp. 563-577, IEEE TAFFC, 2018.

本文得到包括麻省理工学院技术综述MIT Technology Review和每日邮报DailyMail的专文报道

 

成果2:基于黎曼流形的瞬时脸部运动表征方式 (IEEE TOMM2019) [PDF] [Codes] [Slides]

 X. Hong; W. Peng; M. Harandi; Z. Zhou; M. Pietikäinen, and G. Zhao. Characterizing Subtle Facial Movements via Riemannian Manifold.

 ACM Transactions on Multimedia Computing Communications and Applications, Vol. 15, No. 3s, pp. 1-24, ACM TOMM, 2019.

 

成果3:基于递归卷积神经网络的自发微表情识别 (IEEE TMM2019) [PDF] [Codes] [Slides]

 Z. Xia; X. Hong; X. Gao; X. Feng; G. Zhao.  Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions.
IEEE Transactions on Multimedia, Vol. 22, No. 3, pp. 626-640, IEEE TMM, 2019.