mrgam retweeted
#CVPR2016 -> #CVPR2026
It’s been 10 years since I first uploaded a conference report (CVPR 2016 速報 / 片岡裕雄) here!
slideshare.net/slideshow/cvp…
#CVPR2026 / @CVPR
We've released the CVPR 2026 Report!
hirokatsukataoka.net/temp/pr…
Compiled during CVPR through a collaboration among LIMIT.Lab, cvpaper.challenge, and the Visual Geometry Group (VGG), this report provides meta-level insights into the key trends, research directions, emerging themes, and discussions that shaped this year's conference.
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😵 “Consequences be damned” is a #TorturedPhrase for YOLO (You Only Look Once), a well-known computer vision model cv-foundation.org/openaccess… presented at @cvpr2016 by @pjreddie @inkynumbers @RAIVNLab! HT Nerita vitiensis pubpeer.com/publications/E57…
ALT https://pubpeer.com/publications/E57348F77942AEDA4CE140800C3928#2
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29 Mar 2023
Reminds me of our live demonstration of Face2Face at #CVPR2016 which of course crashed at the first try, but then worked out nicely:
youtu.be/DRA3EJGzw6I?t=464
I would be happy to see more demos at conference ;)
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1 Jun 2021
IEEE Xploreでは会議ごとに「月間人気論文ランキング」があるんだが、ICCV はFast R-CNN (ICCV2015) ieeexplore.ieee.org/xpl/conh… で、CVPRはResNet (CVPR2016) ieeexplore.ieee.org/xpl/conh… で、納得の順位
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17 Aug 2020
Learning Temporal Regularity in Video Sequences
CVPR2016採択論文．動画像異常検知の手法．オートエンコーダベースの手法で，画像特徴量（HOG HOF）の再構成モデル，画像そのものの再構成モデルの２つからなる．
#毎日論文サーベイ
github.com/satolab12/paper-s…
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2 Dec 2019
そして2019年で最も引用数の多かった論文はCVPR2016でHeらが発表した"Deep Residual Learning for Image Recognition"という論文らしいです。すでに3万回以上引用されてます。何の役に立つんだこの豆知識。
scholar.google.com/scholar?h…
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16 Jun 2019
#CVPR2019 when keynote speakers don't attend each others talks!! Bill Freeman in the afternoon presenting the same cvpr2016 work on the greatest hits dataset as Antonio Torralba's 9am talk in the same workshop! Learning from unlabeled video workshop.
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16 Jun 2019
Excited to see old and new faces at @cvpr2016😊!
Today I will be doing a talk at 3D HUMANS workshop at 4pm in Room 104B on perceiving 3D humans from in-the-wild video and what that allows us. See you!
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