【15-33期VALSE Webinar活动】 报告嘉宾：卢策吾（Stanford University）
报告时间：2015年10月21日（星期三）晚21:00（北京时间）
报告题目：Two-Class Weather Classification [Slides]
主持人：章国锋（浙江大学）
报告摘要：Image weather understanding is a relatively new topic in computer vision. Different from the important object recognition and classification problems, weather recognition needs to understand more complex phenomena. In this talk, I will present the overview and motivation of weather understanding and my work on it. I will mainly discuss the models for two-class weather classification and smog visibility estimation. I also will introduce two large-scale weather datasets we have built. Finally, future work will be discussed.
参考文献：Cewu Lu, Di Lin, Jiaya Jia, Chi-Keung Tang, "Two-Class Weather Classification", IEEE Conference on Computer Vision and Pattern Recognition, (CVPR), 2014.
报告人简介： 卢策吾，2013年获香港中文大学博士学位，现为斯坦福大学人工智能实验室（Stanford University, AI lab）博士后研究员（research fellow）。其研究兴趣包括物体识别，动作检测，图像与文本联合分析。目前发表（含接收）18篇CCF-A类文章，其中包括11篇CVPR/ICCV, 一篇提出算法在open CV中应用，一篇为SIGGRAPH ASIA 近5年内被引用数最高。作为领队，参加 ImageNet比赛 ILSVRC 2014 获 object detection track (without extra data)第四名。 | 