Summary

Recently, deep learning has made remarkable achievements in many computer vision and machine learning tasks. From the supervised learning, which initially relied on massive amounts of big annotated data, researches begin to explore the ability of learning from the limited exemplars, and new paradigms of representation learning in higher dimensional space.

The Visual Intelligence Group in School of Data Science, Fudan University will hold the 2nd Visual Intelligence Seminar on Few-shot Learning on July 28~29, 2022. We organize our group meeting by introducing the published papers of our groups, as well as inviting several distinguished speakers to share the recent progress on some research tasks that we are concerned. We release our interior group meeting as the seminar online.

Schedules

Seminar Chair: Yanwei Fu, Xiangyang Xue

Live Link: https://meeting.tencent.com/l/Ic28rXlHWkVs

Date: Thursday, July 28, 2022 8:30AM – 6:10PM  Host: Xuelin Qian

Time Welcome Topic Slides
8:30 -- 8:40 Yanwei Fu Opening
8:40 -- 9:30 Zhongyu Wei

9:30 -- 10:00 Qiaole Dong

10:00 -- 10:30 Chenjie Cao

10:30 -- 11:00 Yikai Wang

11:00 -- 11:30 Yuqian Fu

11:30 -- 12:00 Yu Xie

12:00 -- 14:00 Break
14:00 -- 15:00 Xinwei Sun

15:00 -- 15:30 Yikai Wang

15:30 -- 16:00 Ke Fan

16:00 -- 16:30 Xuelin Qian

16:30 -- 17:00 Bo Zhao

17:00 -- 17:40 Xinwei Sun

17:40 -- 18:10 Chengming Xu

Date: Friday, July 29, 2022 8:30AM – 12:30PM  Host: Xuelin Qian

Time Welcome Topic Slides
8:30 -- 9:20 Xuelin Qian

9:20 -- 10:00 Haitao Lin

10:00 -- 10:40 Boyan Jiang

10:40 -- 11:10 Xinlin Ren

11:10 -- 11:40 Chenjie Cao

11:40 -- 12:10 Qiang Sun

Speakers

Host