(#) indicates top-ranked conference/journal in Google Scholar Metrics. What Do Adversarially Robust Models Look At? arXiv preprint. Which generates better jokes, hand-crafted features or deep features CVPR 2019 Workshop on Language & Vision. Incorporating Depth into Visual Question Answering CVPR 2019 Workshop on Visual Question Answering and Dialog. Visual Question Answering with RGB-D Images CVPR 2019 Workshop on Women in Computer Vision (WiCV). Ten-million-order Human Database for World-wide Fashion Culture Analysis CVPR 2019 Workshop on Understanding Subjective Attributes of Data, Focus on Fashion and Subjective Search (FFSS-USAD). Unsupervised Out-of-context Action Understanding (#) IEEE International Conference on Robotics and Automation (ICRA), 2019. (1st place in Robotics at Google Scholar Metrics) Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet? (#) CVPR, 2018. (Acceptance rate: 29.6%; 1st place in Computer Vision at Google Scholar Metri...

1 mentions: @HirokatuKataoka
Date: 2019/06/12 03:48

Referring Tweets

@HirokatuKataoka しまった、cvpaper.chalelngeのリンク、現在はこちら( ) に変えてるんでした! => 東北大千葉さんのご発表より。 #SSII2019