René's URL Explorer Experiment


Title: kiyoon (Kiyoon Kim) · GitHub

Open Graph Title: kiyoon - Overview

X Title: kiyoon - Overview

Description: Computer scientist with computer vision, machine learning and signal processing background. - kiyoon

Open Graph Description: Computer scientist with computer vision, machine learning and signal processing background. - kiyoon

X Description: Computer scientist with computer vision, machine learning and signal processing background. - kiyoon

Opengraph URL: https://github.com/kiyoon

X: @github

direct link

Domain: patch-diff.githubusercontent.com

route-pattern/:user_id(.:format)
route-controllerprofiles
route-actionshow
fetch-noncev2:d1b19d0e-5c12-71f5-7150-ef82c139c0ba
current-catalog-service-hash4a1c50a83cf6cc4b55b6b9c53e553e3f847c876b87fb333f71f5d05db8f1a7db
request-idCBE0:3F3659:18177A:209CDF:6978417B
html-safe-nonce91556d96c176db459310e2de95a874a6c2c7b0b13a61c158af29ff583ef8ed75
visitor-payloadeyJyZWZlcnJlciI6IiIsInJlcXVlc3RfaWQiOiJDQkUwOjNGMzY1OToxODE3N0E6MjA5Q0RGOjY5Nzg0MTdCIiwidmlzaXRvcl9pZCI6IjEwNTM4MjYzNTAxODA3NDU1OTUiLCJyZWdpb25fZWRnZSI6ImlhZCIsInJlZ2lvbl9yZW5kZXIiOiJpYWQifQ==
visitor-hmac2b176238309a672f078bbf88ba439cc75c6d80ddd5b3f991e040cd7bff366c96
github-keyboard-shortcutscopilot
google-site-verificationApib7-x98H0j5cPqHWwSMm6dNU4GmODRoqxLiDzdx9I
octolytics-urlhttps://collector.github.com/github/collect
analytics-location/
fb:app_id1401488693436528
apple-itunes-appapp-id=1477376905, app-argument=https://github.com/kiyoon
twitter:imagehttps://avatars.githubusercontent.com/u/12980409?v=4?s=400
twitter:cardsummary
og:imagehttps://avatars.githubusercontent.com/u/12980409?v=4?s=400
og:image:altComputer scientist with computer vision, machine learning and signal processing background. - kiyoon
og:site_nameGitHub
og:typeprofile
profile:usernamekiyoon
hostnamegithub.com
expected-hostnamegithub.com
None2981c597c945c1d90ac6fa355ce7929b2f413dfe7872ca5c435ee53a24a1de50
turbo-cache-controlno-preview
octolytics-dimension-user_id12980409
octolytics-dimension-user_loginkiyoon
turbo-body-classeslogged-out env-production page-responsive page-profile
disable-turbofalse
browser-stats-urlhttps://api.github.com/_private/browser/stats
browser-errors-urlhttps://api.github.com/_private/browser/errors
release520b65a872113b919c1bbdb03834a50af15859fd
ui-targetcanary-2
theme-color#1e2327
color-schemelight dark

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Adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shiftshttps://github.com/kiyoon/video-adversarial-augmentation
https://patch-diff.githubusercontent.com/kiyoon#adversarial-augmentation-training-makes-action-recognition-models-more-robust-to-realistic-video-distribution-shifts
arXivhttps://arxiv.org/abs/2401.11406
https://private-user-images.githubusercontent.com/12980409/465135233-618213c5-2579-4ee1-bf26-3aa2d219ed56.png?jwt=eyJ0eXAiOiJKV1QiLCJhbGciOiJIUzI1NiJ9.eyJpc3MiOiJnaXRodWIuY29tIiwiYXVkIjoicmF3LmdpdGh1YnVzZXJjb250ZW50LmNvbSIsImtleSI6ImtleTUiLCJleHAiOjE3Njk0ODkwNjMsIm5iZiI6MTc2OTQ4ODc2MywicGF0aCI6Ii8xMjk4MDQwOS80NjUxMzUyMzMtNjE4MjEzYzUtMjU3OS00ZWUxLWJmMjYtM2FhMmQyMTllZDU2LnBuZz9YLUFtei1BbGdvcml0aG09QVdTNC1ITUFDLVNIQTI1NiZYLUFtei1DcmVkZW50aWFsPUFLSUFWQ09EWUxTQTUzUFFLNFpBJTJGMjAyNjAxMjclMkZ1cy1lYXN0LTElMkZzMyUyRmF3czRfcmVxdWVzdCZYLUFtei1EYXRlPTIwMjYwMTI3VDA0MzkyM1omWC1BbXotRXhwaXJlcz0zMDAmWC1BbXotU2lnbmF0dXJlPTQ4M2NlZWI1YmY4NGNlYmRmYTJiNjkxMjYxYWY2NjUyYTljNjhlM2UzMTQ0Y2U2MWUxNWY0YTA1NzgyOTI4MWQmWC1BbXotU2lnbmVkSGVhZGVycz1ob3N0In0.A_kznT8PsXnaB9QgNLSPzh_2W-jeFYpsFB6Oh6aLTnQ
An Action Is Worth Multiple Words: Handling Ambiguity in Action Recognitionhttps://github.com/kiyoon/verb_ambiguity
https://patch-diff.githubusercontent.com/kiyoon#an-action-is-worth-multiple-words-handling-ambiguity-in-action-recognition
arXivhttps://arxiv.org/abs/2210.04933
https://user-images.githubusercontent.com/12980409/193856345-e0287624-4c84-46af-b245-c07ff263c424.png
Capturing Temporal Information in a Single Frame: Channel Sampling Strategies for Action Recognitionhttps://github.com/kiyoon/channel_sampling
https://patch-diff.githubusercontent.com/kiyoon#capturing-temporal-information-in-a-single-frame-channel-sampling-strategies-for-action-recognition
arXivhttp://arxiv.org/abs/2201.10394
https://user-images.githubusercontent.com/12980409/151038213-12bdad91-7895-40e7-9304-126079fed637.png
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