合肥工业大学主页平台管理系统李佳--中文主页--论文成果

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硕士生导师
教师拼音名称：Li Jia
所在单位：智能科学与技术系
学位：博士学位
毕业院校：中国科学技术大学
学科：计算机应用技术

论文成果

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[11]Su, Wen; Zhang, Haifeng; Li, Jia; Yang, Wenzhen; Wang, Zengfu; Monocular depth estimation as regression of classification using piled residual networks, Proceedings of the 27th ACM International Conference on Multimedia, 2161-2169, 2019
[12]Lang, Junjie; Sun, Xiao; Li, Jia (通讯作者); Wang, Meng; Multi-stage and multi-branch network with similar expressions label distribution learning for facial expression recognition, Pattern Recognition Letters, 163 17-24, 2022
[13]Ziyang Zhang; Xiao Sun; Jia Li (通讯作者); Meng Wang ; MAN: Mining Ambiguity and Noise for Facial Expression Recognition in the Wild, Pattern Recognition Letters, 2022, 164: 23-29
[14]Fan, Chunxiao; Wang, Zhenxing; Li, Jia; Wang, Shanshan; Sun, Xiao; Robust facial expression recognition with global-local joint representation learning, Multimedia Systems, 2022, Springer
[15]Gao, Sheng; Sun, Xiao; Li, Jia; Estimation of Gaze-Following Based on Transformer and the Guiding Offset, the 16th Chinese Conference on Biometric Recognition (CCBR 2022), Beijing, China, November 11–13, 2022, Proceedings 158-168, 2022, Springer
[16]Jia Li, Linhua Xiang, Jiwei Chen, et al. SimplePose V2: Greedy offset-guided keypoint grouping for human pose estimation, the 4th Chinese Conference on Pattern Recognition and Computer Vision (PRCV 2021), Beijing, China, October 29–November 1, 2021, Springer
[17]Jia Li; Zengfu Wang; Local regression based hourglass network for hand pose estimation from a single depth image, 2018 24th International Conference on Pattern Recognition (ICPR), 1767-1772, 2018, IEEE
[18]Linhua Xiang; Jia Li; Zengfu Wang; Least-Squares Estimation of Keypoint Coordinate for Human Pose Estimation, the 5th Chinese Conference Pattern Recognition and Computer Vision (PRCV 2022), Shenzhen, China, November 4–7, 2022, Proceedings, Part III 448-460, 2022, Springer
[19]Jia Li; Zengfu Wang ; Real-Time Traffic Sign Recognition Based on Efficient CNNs in the Wild, IEEE Transactions on Intelligent Transportation Systems, 2019, 20(3): 975-984

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