?歡迎大家投稿我們組織的CVPR2019 Workshop和 ICML2019 Workshop
ICML 2019,、CVPR 2019都在美國(guó)Long Beach召開,。值得注意的是這兩個(gè)會(huì)議召開時(shí)間:
2019年6月9日-15日,ICML 2019,
2019年6月16日-20日,, CVPR 2019,
https://icml.cc/Conferences/2019
可以參加完機(jī)器學(xué)習(xí)頂會(huì)ICML,,接著參加計(jì)算機(jī)視覺頂會(huì)CVPR,。
我們?cè)谠搩蓚€(gè)會(huì)議共組織了4個(gè)Workshop,希望大家投稿和參加比賽:
1)CVPR2019 Workshop (Augmented Human: Human-centric Understanding).
舉辦5個(gè)比賽,公布多姿勢(shì)虛擬試穿數(shù)據(jù),、video multi-person human parsing數(shù)據(jù)集,。
歡迎賜稿:
https://cmt3.research.microsoft.com/VUHCS2019
歡迎參賽:
http://sysu-hcp.net/lip/overview.php
截止時(shí)間:2019年5月1日
Workshop主頁(yè):
2)CVPR2019 Workshop (Towards Causal, Explainable and Universal Medical Visual Diagnosis).
邀請(qǐng)5位著名教授/學(xué)者演講: Ruslan Salakhutdinov (CMU), Devi Parikh (Georgia Tech), Deva ramanan (CMU), Le Lu (Johns Hopkins), Dina Katabi (MIT) 深入探討醫(yī)學(xué)視覺研究前沿
歡迎賜稿:
截止時(shí)間:2019年5月1日
Workshop主頁(yè):
https://s1155026040.github.io/mvd-2019-cvpr-workshop
3) CVPR2019 Workshop (Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge)
歡迎賜稿:https://cmt3.research.microsoft.com/LID2019/Submission/Index
截止時(shí)間:2019年5月1日
Workshop主頁(yè):
https://lidchallenge.github.io/
4)ICML 2019 workshop (Learning and Reasoning with Graph-structured Data)
歡迎賜稿:
https://cmt3.research.microsoft.com/GR2019
截止時(shí)間:2019年4月18日
Workshop主頁(yè):
CVPR是IEEE Conference on Computer Vision and Pattern Recognition的縮寫,即IEEE國(guó)際計(jì)算機(jī)視覺與模式識(shí)別會(huì)議,。該會(huì)議是由IEEE舉辦的計(jì)算機(jī)視覺和模式識(shí)別領(lǐng)域的頂級(jí)會(huì)議,。
ICML 是 International Conference on Machine Learning的縮寫,即國(guó)際機(jī)器學(xué)習(xí)大會(huì),。ICML如今已發(fā)展為由國(guó)際機(jī)器學(xué)習(xí)學(xué)會(huì)(IMLS)主辦的年度機(jī)器學(xué)習(xí)國(guó)際頂級(jí)會(huì)議,。
1) Augmented Human: Human-centric Understanding:
2) Towards Causal, Explainable and Universal Medical Visual Diagnosis:
3) Weakly Supervised Learning for Real-World Computer Vision Applications and the 1st Learning from Imperfect Data (LID) Challenge:
4) Learning and Reasoning with Graph-structured Data: