视觉信息处理与学习研究组(VIPL)共有4篇论文被录用,以poster形式展示[1,2,3,4]。陈熙霖研究员、王瑞平研究员、韩琥副研究员、阚美娜副研究员以及博士生胡蓝青、硕士生时学鹏、刘永、潘虹宇参加了此次会议。其中胡蓝青介绍了针对无监督领域自适应问题设计的一种双路判别器生成对抗网络的工作,时学鹏介绍了针对360°平面内旋转的人脸检测提出的一种基于级联矫正网络的方法,刘永介绍了针对物体检测问题构思的一种结构推理网络方法,潘虹宇介绍了用于基于分布学习的年龄估计的均值-方差损失函数的方法。
图1:王瑞平、刘永作海报讲解;图2: 韩琥、潘虹宇作海报讲解;图3: 阚美娜作海报讲解;图4: 胡蓝青作海报讲解;图5: 时学鹏作海报讲解。
[1] Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen, "Duplex Generative Adversarial Network for Unsupervised Domain Adaptation," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), pp. 1498-1507, Salt Lake City, UT, June 18-22, 2018.
[2] Hongyu Pan, Hu Han, Shiguang Shan, Xilin Chen, "Mean-Variance Loss for Deep Age Estimation from A Face," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), pp. 5285-5294, Salt Lake City, UT, June 18-22, 2018.
[3] Xuepeng Shi, Shiguang Shan, Meina Kan, Shuzhe Wu, Xilin Chen, "Real-Time Rotation-Invariant Face Detection with Progressive Calibration Networks," IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), pp. 2295-2303, Salt Lake City, UT, June 18-22, 2018.
[4] Yong Liu, Ruiping Wang, Shiguang Shan, Xilin Chen, “Structure Inference Net: Object Detection Using Scene-Level Context and Instance-Level Relationships,” IEEE Conference on Computer Vision and Pattern Recognition (CVPR2018), pp. 6985-6994, Salt Lake City, UT, June 18-22, 2018.附件下载: