We organized the "Cambridge Computer Vision Workshop" at the University of Cambridge together with Elliott Wu, Yoshihiro Fukuhara, and LIMIT.Lab! It was a fantastic workshop featuring presentations, networking, and discussions. cambridgecv-workshop-2025sep.limitlab.xyz

Finally, the accepted papers at #ICCV2025 / @iccv.bsky.social LIMIT Workshop has been publicly released! -- - OpenReview: openreview.net/group?id=the... - Website: iccv2025-limit-workshop.limitlab.xyz

At ICCV 2025, I am organizing two workshops: the LIMIT Workshop and the FOUND Workshop. ◆ LIMIT Workshop (19 Oct, PM): iccv2025-limit-workshop.limitlab.xyz ◆ FOUND Workshop (19 Oct, AM): iccv2025-found-workshop.limitlab.xyz We warmly invite you to attend at these workshops in ICCV 2025 Hawaii!

I’m thrilled to announce my invited talk at BMVC 2025 Smart Cameras for Smarter Autonomous Vehicles and Robots! supercamerai.github.io

Our AnimalClue has been accepted to #ICCV2025 as a highlight🎉🎉🎉 We also released an official press release from AIST!! This is the collaboration between AIST x Oxford VGG. Project page: dahlian00.github.io/AnimalCluePa... Dataset: huggingface.co/risashinoda Press: www.aist.go.jp/aist_j/press...

Our AgroBench has been accepted to #ICCV2025 🎉🎉🎉 We released project page, paper, code, and dataset!! Project page: dahlian00.github.io/AgroBenchPage/ Paper: arxiv.org/abs/2507.20519 Code: huggingface.co/datasets/ris... Dataset: github.com/dahlian00/Ag...

We’ve released the CVPR 2025 Report! hirokatsukataoka.net/temp/presen/... Compiled during CVPR in collaboration with LIMIT.Lab, cvpaper.challenge, and Visual Geometry Group (VGG), this report offers meta insights into the trends and tendencies observed at this year’s conference. #CVPR2025

[LIMIT.Lab Launched] limitlab.xyz We’ve established "LIMIT.Lab" a collaboration hub for building multimodal AI models under limited resources, covering images, videos, 3D, and text, when any resource (e.g., compute, data, or labels) is constrained.

“Industrial Synthetic Segment Pre-training” on arXiv! Formula-driven supervised learning (FDSL) has surpassed the vision foundation model "SAM" on industrial data. It delivers strong transfer performance to industry while minimizing IP-related concerns. arxiv.org/abs/2505.13099

I’m honored to serve as an Area Chair for CVPR 2025 for the second time. Thank you so much for the support!! cvpr.thecvf.com/Conferences/...

where I apparently asked you to present your poster on 3D ResNet *in 2 minutes* in #CVPR2018... 7 years later, I am very grateful for your *50 minutes* talk and full day visit to my group... Thanks for the personal touch ☺️ 2/2

Many thanks @hirokatukataoka.bsky.social for visiting @bristoluni.bsky.social #MaVi group during your stay @oxford-vgg.bsky.social This was a very motivating talk on training from limited synthetic data. Thanks for bringing up our first encounter #CVPR2018 .... 1/2

Very excited to announce that our Formula-Driven Supervised Learning (FDSL) series now includes audio modality 🎉🎉🎉 -- Formula-Supervised Sound Event Detection: Pre-Training Without Real Data, ICASSP 2025. - Paper: arxiv.org/abs/2504.04428 - Project: yutoshibata07.github.io/Formula-SED/

Our paper has been published ( lnkd.in/gyuPEWSA ) and issued an AIST press release (JPN: lnkd.in/gyifZauS ) on applying FDSL pre-training for microfossil recognition, showcasing an example of image recognition technology in AI for Science! 🎉🎉🎉 # The shared images are coming from our paper

Introducing VGGT (CVPR'25), a feedforward Transformer that directly infers all key 3D attributes from one, a few, or hundreds of images, in seconds! Project Page: vgg-t.github.io Code & Weights: github.com/facebookrese...

[ Reached 5,000 Citations! 🎉🎉🎉 ] My research has reached 5,000 citations on Google Scholar! This wouldn’t have been possible without the support of my co-authors, colleagues, mentors, and the entire research community. Looking forward to the next phase of collaboration! 🙌

[New pre-training / augmentation dataset] MoireDB – a formula-generated interference-fringe image dataset for synthetic pre-training and data augmentation 🎉🎉🎉 Paper: arxiv.org/abs/2502.01490

Demis Hassabis, James Manyika, and I wrote up an overview of the AI research work & advances across Google in 2024 (Gemini, NotebookLM, robotics, ML for science, & advances in responsible AI+more). 🎊 Given it a read or paste it into NotebookLM to listen, if you prefer! blog.google/technology/a...

[ Research Paper Award🏅] Our paper, "Efficient Load Interference Detection with Limited Labeled Data," has won the SICE International Young Authors Award (SIYA) 2025🎉🎉🎉 This work is the family of FDSL pre-training and its real-world application in advanced logistics using forklists.

Our ICCV 2023 paper "SegRCDB" has reached 10 citations on Google Scholar! 🎉 We have proposed 'Synthetic Pre-training for Segmentation', establishing a strong baseline. - Project: dahlian00.github.io/SegRCDBPage/ - GitHub: github.com/dahlian00/Se... - Paper: openaccess.thecvf.com/content/ICCV...

Excited to announce that our paper, "Text-guided Synthetic Geometric Augmentation for Zero-shot 3D Understanding ( arxiv.org/abs/2501.09278 )", is now available on arXiv pre-print 🎉🎉🎉 We propose a framework for generation-enhanced 3D dataset expansion, targeting zero-shot 3D understanding.

🎉 Updated Intro Slides (Jan 2025) 🎉 📈 Most-cited work: Space-time 3D ResNet 🔬 Most-active Projects: FDSL (ACCV Award & BMVC Award Finalist; MIT Tech Review) 🎯 Current Focus: LIMIT (Building AI with Very Limited Resources) 🌍 Academic & Industry Service Slide: hirokatsukataoka.net/pdf/250114Se...

アドカレ2024完成🎉🎉🎉 2024年12月実施の "cvpaper.challenge Advent Calendar 2024" が完成しました！今回は「広がる研究コミュニティ」がテーマです。 adventar.org/calendars/10... 片岡の担当記事 - オックスフォード大学研究記 note.com/cvpaperchall... - 非営利研究コミュニティを10年継続させる... note.com/cvpaperchall... - Towards trust and depth...（日本語訳担当） note.com/cvpaperchallen

Interesting, it appears the #ICCV2025 submission and supplementary materials deadlines are the SAME.

and part 2 go.bsky.app/Gjcs339

Here’s a decent Vision / Graphics list: go.bsky.app/M7HGC3Y

New to Bsky and interested in #computervision? Check out my 2 Starter Packs of #computervision researchers. go.bsky.app/M7HGC3Y go.bsky.app/Gjcs339

I'm building a new research lab @ Uni of Cambridge focusing on 4D computer vision and generative models. Interested in joining us as a PhD student? Apply to the Engineering program by Dec 3 🗓️ www.postgraduate.study.cam.ac.uk/courses/dire... ChatGPT's "portrait of my current life"👇 elliottwu.com

I excited to share the two papers at #ACCV2024, focusing on "Synthetic Training for Segmentation" and "Real-World Image Super-Resolution" !! 🎉🎉🎉 Synthetic Training for Segmentation openaccess.thecvf.com/content/ACCV... Real-World Image Super-Resolution openaccess.thecvf.com/content/ACCV...

タイトル：オックスフォード大学研究記 筆者：片岡裕雄 研究コミュニティ cvpaper.challenge 〜広がる研究コミュニティー〜 Advent Calendar 2024 初日（2024年12月1日）の記事です！国際連携による研究トレンド創出・研究コミュニティ拡大を目指して数年単位でオックスフォード大学滞在予定です。国際連携の経過や大学研究室での気づきを共有です。 note.com/cvpaperchall...

Our paper "Deformability-based grasp pose detection from a visible image" has been accepted to IEEE Access! 🎉🎉🎉 We introduce the concept of 'deformability', making it easier for robots to grasp objects effectively. Paper here: ieeexplore.ieee.org/document/107...

「Data-centric AI入門（技術評論社）」の監修を担当させて頂きました。AI基盤モデルの昨今、Transformerなどモデルの選択肢が固定化されつつある中、データに主眼を置く重要性が益々増しています。"データ中心のAI時代" の入門書なれば幸いです。 なお、主に概要・画像・言語・ロボット・産業応用等の実践に分けて章立て、各分野錚々たる研究者により執筆されています。 gihyo.jp/book/2025/97...

We introduced an empirical study in Smart Agricultural Technology (2023), Transformer segmentation in agricultural scenes. We verified Swin Transformer outperforms ResNet for tomato segmentation, especially with larger images and data augmentation. www.sciencedirect.com/science/arti...

Thank you so much for Yuki M. Asano and all attendees in the join workshop among FunAILab at UTN 🇩🇪, FAU 🇩🇪, and AIST 🇯🇵. We further accelerate the research collaboration including University of Oxford 🇬🇧, and join us if you're interested in our work. @yukimasano.bsky.social