CVPR News

Computer Vision and Pattern Recognition News

[Kosta Derpanis (sabbatical in Zurich) @CSProfKGD]

#ICRA2026 poster session: Checked out ALL the posters. Achievement unlocked 😅💪

[Jiahui Lei @JiahuiLei1998]

The 2nd 4D Vision Workshop at CVPR is happening this Thursday afternoon in Room 506!

Come join us to see the latest progress in modeling the dynamic world. Looking forward to seeing you there! #CVPR2026 #CVPR

[#CVPR2026 @CVPR]

We are proud to welcome @AIMagazine_BC as an official media partner for #CVPR2026! Thank you for your continued dedication to connecting the world's AI leaders and amplifying cutting-edge research. 🤝🚀

[#CVPR2026 @CVPR]

The #CVPR2026 program drew a record number of paper submissions:16,092. Through a rigorous peer-review process, about one-quarter were accepted to the program. https://t.co/AbbmVOqOvx

[Hitesh Laxmichand Patel @Hitesh_LPatel]

How do we take agentic vision from the lab to real-world deployment? 🚀
We're incredibly excited to have @MingHsuanYang (@ucmerced / @GoogleDeepMind ) joining the Industry Panel at the #GRAIL-V Workshop for #CVPR2026 (@CVPR ) to discuss the future of deployable multimodal AI!

[Le Random @lerandomart]

@elluba @CVPR @CVPRConf @nickshoh @MrPorkchop720 @ylecun @karpathy "Seeing Machines: Luba Elliott on the 2026 CVPR Art Gallery" by Luba Elliott @elluba

👁️ https://t.co/LXYU9CGy7O👁️

[M. Alex O. Vasilescu @AlexTensor]

@yudapearl @PeterDiamandis LLM's are a revolution in Library Science!

They operate over inherited human knowledge, but that is not the same thing as creating new conceptual schema.

[Junfan Zhu 朱俊帆 ✈️ CVPR @junfanzhu98]

Call for Lightning Talks & Media Coverage — @saturdayrobotic 6/6 Denver @CVPR Happy Hour (https://t.co/1mh2KBfe4B)
We’re opening a small number of *lightning talk* slots for 6/6 Denver #CVPR Saturday Robotics Happy Hour.

Lightning talks are:
~10 minutes each
technical / research-driven, with a few slides
focus on frontier papers or hot takes
1 hour total
curated talks spanning diverse topics across robotics, embodied AI, VLA, video gen, computer vision, and others.

If you’d like to give a talk, please reply to email [email protected] (or @junfanzhu98) with:
Talk title + abstract
Name + Affiliation
Relevant Pre-readings (arXiv paper / slides / Github / Blogs)

We've already received some submissions. Priority will go to talks with strong technical depth, novel insights, or interesting research lessons.

Also, if you have *media coverage* resources, please also reply to this email for cooperation. We’d greatly appreciate help spreading the words to your media connections, podcast friends, newsletter contacts, or other coverage opportunities. Community visibility genuinely helps Saturday Robotics continue to grow and thrive.

Announcement: our Denver venue will be a *fancy* space with excellent food, and more elevated setting than our usual SF reading clubs.

If you’re based in the SF Bay Area, welcome to join our regular @saturdayrobotic sessions: https://t.co/UhXI5Q8plG

If you’re interested in becoming a future keynote speaker (technical density, research-heavy, or hot-take-oriented talks) or a venue sponsor, also reply this email and let us know!

Thanks to our sponsors that make 6/6 Denver @CVPRConf Happy Hour happen: ​This special session is co-hosted with SpatialVerse by @ManycoreTech. At the forefront of spatial intelligence with a focus on deepening our collective physical-world understanding. They collaborate across the ecosystem, from world models and synthetic 3D environments to embodied AI and robotics. ​Also supported by @neuralmotion, a universal cross-embodiment data representation layer for embodied AI.

[Amit Agarwal @amitpinaki]

#CVPR2026 is just around the corner! If you are heading to Denver, join us at GRAIL-V @CVPR on 3rd June, for a morning dedicated to solving the hard parts of Agentic Systems - bridging the gap between Computer Vision, NLP, and Information Retrieval

We have a packed schedule featuring foundational keynotes and a deep-dive industry panel focused on moving from frontier research to production-scale agents for @CVPRConf
📅 Date: Wednesday, June 3, 2026
⏰ Time: 7:30 AM – 12:30 PM
📍 Location: Room 506, Colorado Convention Center, Denver
🔗 Details & Full Schedule: https://t.co/Qnlco2VWiv

🔥 Keynotes from: 🌟 Kristen Grauman (@UTAustin) 🌟@mohitban47 (@unc_ai_group) 🌟@DanRothNLP (@_PennAI ) 🌟@scottyih (@Meta @AIatMeta )

🎤 Industry Panel: @ravisujith(GVP, @Oracle AI) , @krishnanvijay (@turingcom ), @Kenneth_Marino (@UUtah ), @MingHsuanYang (@ucmerced @GoogleDeepMind )

Organizing Team - @amitpinaki @sarahookr @aliceoh @jyotika @Hitesh_LPatel @keviv9 , @karandua Vivek Srikumar, Tao Sheng

#CVPR2026 #AI #ComputerVision #LLM #Agents #Multimodal #Research #MachineLearning #ICLR2026 #ICML2026 #VisionLanguage

[Saturday Robotics @saturdayrobotic]

@CVPR @CVPRConf calling for media coverage

[Luba Elliott @elluba]

The #CVPR2026 Art Gallery is now live 🥳

114 artworks using or about computer vision, presented online and as videos and installations at the @CVPRConf in Denver between 5-7 June next week 😍

Check it out https://t.co/XTGoCWaDV8

#creativeAI #AIart

[Atul Magoon @atulmagoon]

@saturdayrobotic @junfanzhu98 @CVPR @CVPRConf Will see you there in Denver. Btw, this saturday are you having the meetup in SF?

[Zongwei Zhou @Zongwei_Zhou]

12th CVPR Workshop on Medical Computer Vision - Data Science and AI Institute https://t.co/v7HSSEzhyS
@CVPRConf @CVPR

[#CVPR2026 @CVPR]

See you next year in Denver!

[Ashkan Mirzaei @ashmrz10]

I’m excited to share what our team has been building at @NVIDIAAI since I joined: Cosmos 3, an omnimodal world model for Physical AI.

Project: https://t.co/HTCR8JSzdW
HF: https://t.co/19p3c6pfZ0
Code: https://t.co/G6fuUOWFNk

[Soumik Mukhopadhyay @ CVPR26 @soumikkanad]

Come visit our poster "Scale Space Diffusion" at #CVPR2026!

We reformulate diffusion using scale space theory to enable progressive information flow for efficient pixel diffusion!

📍Main Conference: ExHall F 675; Sun, Jun 7, 2026 • 11:45 AM – 1:45 PM MDT

[Stefan Baumann✈️CVPR🔜SF @StefanABaumann]

The internet is full of video. So why can't novel view synthesis just scale on it?

Real-world video is simultaneously unposed, messy, and dynamic, breaking self-supervised NVS.

We fixed that. RayDer learns static-scene NVS from dynamic internet video, scaling like an LLM. A🧵

[AI Conference DL Countdown @DlCountdown]

WACV'27-R1 (reg): 19 days.
WACV'27-R1 (paper): 26 days.
ACCV'26 (reg): 33 days.
ACCV'26 (paper): 35 days.
AAAI'27 (reg): 52 days.
AAAI'27 (paper): 59 days.
WACV'27-R2 (reg): 82 days.
WACV'27-R2 (paper): 89 days.
3DV'27 (paper): 89 days.

[Andrei Bursuc @CVPR @abursuc]

Researchers’ paradise #CVPRinParis

[Yann LeCun @ylecun]

@eladgil BS.
Attention was born in Montréal
PyTorch in NYC.
AlphaGo in London
AlphaFold in London
ESMFold in NYC
Llama 1 in Paris.
Llama 2 in Paris+NYC+SV
DeepSeek in Hangzhou

Plus:
DINO in Paris
JEPA in Montréal+Paris+NYC

SV is 3 mos ahead on topics SV is singularly obsessed with.