Are neural scene representations privacy-preserving just because the map is hidden in the weights?
In our #ECCV2026 "Seeing Through the Weights", we show that SCR models can leak 3D geometry and appearance of their training environments.
Project page: https://t.co/sgsatumDBm
Got unlucky with #ECCV2026 reviews? Strong #3D#research deserves a good home! 👉 Integrate feedback, make your paper bulletproof & submit to #3DV2027! 💪
🎯 Focused audience on #3D topics
⏳ Deadline: August 28
📍 Thessaloniki, Greece
👉 Spread the word!
https://t.co/ylP3NTfbXV
We have one paper accepted to #ECCV2026 (corresponding author). 𝐒𝐞𝐞 & 𝐒𝐧𝐢𝐟𝐟: 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐕𝐢𝐬𝐮𝐨-𝐎𝐥𝐟𝐚𝐜𝐭𝐨𝐫𝐲 𝐑𝐞𝐩𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧𝐬 🎉
This work on visuo-olfactory representation learning, bringing smell into modern multimodal AI.
Looking for a nice home for your paper? #3DV2027 is waiting! 🎉
⏰ Conference dates: April 6-9, 2027
✈️ Place: #Thessaloniki (#SKG), #Greece 🇬🇷
📝 Paper ddl: Aug 28
🎥 Supp ddl: Sep 02
🆕 Rebuttal only upon invite for borderline papers!
#CallForPapers: https://t.co/6Fy3QG7PRE
We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.
We are grateful to all of the 17,491 reviewers who helped make #CVPR2026 possible. We are especially pleased to recognize the following Outstanding Reviewers, whose high-quality reviews (as judged by their Area Chairs) placed them among the top 5% of reviewers.
my fav papers from 3DV because why not 🤝
MapAnything by Meta
→ 1B foundation model for 3D
→ takes in images + optional ray directions, poses & depth outputs 3D, normal, depth maps
→ consists of mm encoders on top of transformer with MLP, DPT and pose head
model & demo ➡️
Everyone's excited about Karpathy's autoresearch that automates the experiment loop.
We automated the whole damn thing. 🦞
Meet AutoResearchClaw: one message in, full conference paper out. Real experiments. Real citations. Real code. No human in the loop.
One message in → full paper out. Here's what happens in between:
📚 Raids arXiv & Semantic Scholar, digests 50+ papers in minutes
🥊 Three AI agents FIGHT over the best hypothesis (one swings big, one sanity-checks, one tries to kill every idea)
💻 Writes experiment code from scratch, adapts to your hardware
💥 Code crashes at 3am? It reads the stack trace, rewrites the fix, keeps going
🔄 Results weak? It pivots to entirely new hypotheses and starts over
📝 Drafts a full paper with citations, every single one verified against live databases
No babysitting. No Slack messages. No "hey can you re-run this."
Karpathy built the experiment loop. We built the whole lab.
Chat an idea. Get a paper. 🦞
Try it 👉: https://t.co/KLOcnzFYaD
Kudos to the team @JiaqiLiu835914, @richardxp888, @lillianwei423, @StephenQS0710, @Xinyu2ML, @HaoqinT, @zhengop, @cihangxie, @dingmyu, and we are looking for more contributors.
The day has arrived, somewhere in the world 😅
Our Program Chairs and senior Area Chairs are going through the final checks. Only the Program Chairs know the exact timing of the release. The rest of us will find out at the same time.
Good luck!
@ducha_aiki@CSProfKGD All the cases I have witnessed this year had a decent rebuttal.
One of my papers is affected, and a friend of mine has three papers with at least one missing decision in his batch. From what I see online, many authors are facing the same problem.