@FragileGoodwill

Research Scientist @ AIST | Visiting Postdoc @ UTN | HQ @ cvpaper.challenge

ryosuke-yamada.github.io/
Joined June 2017
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  • Following675
  • Followers539
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Ryousuke Yamada retweeted
kohsukeIde
@IdeKohsuke
Sep 25
Excited to share that our paper was accepted as a Spotlight at #NeurIPS 2026 (E&D track)🎉 Huge thanks to everyone involved in the project! More details coming sometime in October. Now back to the ICLR grind 😅
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Ryousuke Yamada retweeted
Francis Engelmann@FrancisEngelman
Sep 17
🍯 Got exciting 3D vision work that deserves another spotlight -- or a bold idea that isn’t quite a paper yet? Then the #3DV2027 Nectar Track is for you: showcase strong recent work, share early ideas and demos; all while enjoying bougatsa, meze, and rebetiko in beautiful Thessaloniki 🇬🇷 📅 Deadline: Feb 15, 2027 (more details coming soon) 👉 3dvconf.github.io/2027/call-…

Call for Nectar Track Contributions

3dvconf.github.io
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Ryousuke Yamada retweeted
Gabriele
@gabrosi3
Sep 7
Going to @eccvconf? 👀 Workshop Radar is ready and online for #ECCV2026 🚀 🔎 Find workshops & tutorials ⭐ Save your favorites 📅 Explore the schedule in one place Open source. Mobile-friendly. No account required. Less tab chaos, more conference. 😄 workshopradar.vercel.app
🤖 Made with AI
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"Visual General Intelligence: A White Paper" is now on arXiv! arxiv.org/abs/2608.25924 We've discussed: - What is Visual Intelligence? - Can we develop it toward General Intelligence (VGI)? In the VGI white paper, we bring together diverse perspectives on Visual Intelligence and discuss how intelligence grounded in visual modalities and experiences could develop toward General Intelligence. Beyond proposing a single definition of VGI, we introduce, propose, and discuss different perspectives on what Visual Intelligence could be and how we could develop it toward General Intelligence. This paper is a starting point for a broader discussion on the future of Visual Intelligence. Many thanks to all the great co-authors!
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Ryousuke Yamada retweeted
Shumpei Takezaki@shumpeiMaxwell
Jul 25
Self-Supervised Learning of Structured Dynamics from Videos TL;DR: Structured Dynamics Model decomposes video changes into primary and residual motion. Built on frozen DINOv2 features, it separates camera and object motion with weak supervision and outperforms prior representations on multiple motion tasks. arxiv.org/abs/2607.21576

Self-Supervised Learning of Structured Dynamics from Videos

Understanding motion in video is a fundamental challenge for visual learning, as frame-to-frame change entangles two sources of dynamics: camera motion and object motion. This decomposition has...

arxiv.org
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Our @CVPR 2026 paper has been featured in an @AIST_EN press release! Huge congratulations to @IdeKohsuke, who led this project 😄 aist.go.jp/aist_e/list/lates…
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Great day @DFKI Kaiserslautern!! I had the nice opportunity to present my work and discuss exciting ideas with the researchers there I really enjoyed my visit 😄 Many thanks to @shumpeiMaxwell @Oguryu417 @ko_watanabe_jp and everyone at DFKI 🇩🇪
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ありがとうございました！ 色んな方と交流できてとても楽しい時間でした😄
Ko Watanabe 🇩🇪
@ko_watanabe_jp
Jul 1
Ryosuke YamadaさんがDFKIで講演してくださってます。最近のCVPRで発表した内容も紹介してくださり、とても興味深いです！🇩🇪🇯🇵
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[#ECCV2026 LIMIT Workshop] This teaser describes a brief abstract at ECCV 2026 LIMIT Workshop in terms of topics, invited speakers, organizers, and website. Please join us in the workshop. Website: eccv2026-limit-workshop.limi… OpenReView (Paper deadline - 6 July): openreview.net/group?id=thec…
Hirokatsu Kataoka | 片岡裕雄
@HirokatuKataoka
Jun 10
[LIMIT Workshop has been accepted at #ECCV2026 ] LIMIT: Representation Learning with Very Limited Resources explores how we can build powerful AI systems when data, labels, modalities, compute, or supervision are limited. Join us at LIMIT 2026! Website: eccv2026-limit-workshop.limi…⁠
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Ryousuke Yamada retweeted
Su Myat Noe@imsu_myat
Jun 26
📢 Papers are now being accepted for the LIMIT Workshop at #ECCV2026! Topics include representation learning with limited data, labels, compute, and other resource constraints. 📅 Deadline: July 6, 2026 (23:59 AoE) 🔗 eccv2026-limit-workshop.limi…
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📢Call for Papers @eccvconf The LIMIT Workshop at #ECCV2026 is accepting submissions!! We invite submissions on representation learning when data, labels, computing resources or ... are scarce. Deadline: July 6, 2026, 23:59 AoE eccv2026-limit-workshop.limi…
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Ryousuke Yamada retweeted
Thomas De Min@tdemin99
Jun 18
Excited to share that our latest work has been accepted to #ECCV2026! See you in Malmö ✈️
Thomas De Min@tdemin99
Mar 23
Can MLLMs ask for help? 🤔 When facing an unanswerable visual query, models typically hallucinate or abstain. We argue there's a better option: being proactive and requesting a simple user intervention. Introducing ProactiveBench! 🧵
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コンピュータビジョン研究チーム 山田亮佑 研究員、Qiu Yue 主任研究員、井手 康允 RAは、複数物体の幾何的関係性を理解し、説明可能な点群言語モデルを開発しました。 設計・製造分野を中心とした幅広い領域での作業効率向上への貢献が期待されます。 aist.go.jp/aist_j/press_rele…
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📣 ECCV2026 LIMIT Workshop📣 We are looking for submissions to the LIMIT Workshop at ECCV 2026!! 📌 Submission deadline: July 6 📌 Notification: Aug 3, 2026 📌 Camera-ready: Aug 10, 2026 Please consider submitting your work! eccv2026-limit-workshop.limi… @eccvconf #ECCV2026
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#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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CVPR2026 Report is now publicly available!! It nicely covers the latest trends across SSL, generative models, robot learning, and many other topics 😄 Big thanks to the authors for putting this together so quickly!! hirokatsukataoka.net/temp/pr… @CVPR #CVPR
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Web videos as scalable source data!! “Video” was one of the big keywords I kept hearing at CVPR 2026. I strongly feel that video will become a key data source in the next few years! Not in the old sense of simple action recognition, but as scalable supervision for vision models
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If you are interested in research collaboration, please feel free to reach out to LIMIT.Lab!! limitlab.xyz/ Finally, I would like to thank the authors for putting together this excellent report so quickly!!
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