🧠 “I want algorithms that will work in the real world and that will perform at the level of humans, probably ultimately better. And to do that, I think we need to get inspired by the brain,” says Alan Yuille. Learn more about his research here: cs.jhu.edu/news/vision-en…

🚀Our group is seeking summer interns to join our group in 2025 and work on exciting research projects in computer vision and AI. 🔗Job posting: ccvl.jhu.edu/summer-intern-… 🤩If interested please send Prof Alan Yuille an email! Johns Hopkins Engineering JHU Computer Science Johns Hopkins Data Science and AI Institute

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Xingrui Wang @CVPR25 & Alan Yuille’s “Compositional 4D Dynamic Scenes Understanding with Physics Priors for Video Question Answering” w/ Wufei Ma, Angtian Wang, Shuo Chen, & Adam Kortylewski 🚨 Hiring PhD students constructs a dataset & model 4 temporal world representations: arxiv.org/abs/2406.00622 (5/12)

🤩Thrilled to share three papers from our group to be presented at ICLR 2026 -- see you in Singapore!

GitHub Copilot now has a coding agent embedded right where you already collaborate with developers: on GitHub. And yes, you can access it from VS Code too. 🤖

One of the biggest bottlenecks in deploying visual AI and computer vision is annotation, which can be both costly and time-consuming. Today, we’re introducing Verified Auto Labeling, a new approach to AI-assisted annotation that achieves up to 95% of human-level performance while

Excited to announce that our group will be presenting eight papers at #CVPR2026 in Nashville! 🎉 We're excited to share the ideas we've been working on with the community. If you'll be there, we'd love to meet and chat -- always happy to exchange ideas and catch up in person. See

Hopkins researchers including JHU ECE Tinoosh Mohsenin and Bloomberg Distinguished Professors Rama Chellappa are speaking at booth 1317 of the IEEE / CVF Computer Vision and Pattern Recognition Conference today! Come meet #HopkinsDSAI #CVPR2025

We are at the Johns Hopkins booth at #CVPR2025 . Come join us 😁 JHU Computer Science Johns Hopkins Engineering Johns Hopkins Data Science and AI Institute

Microsoft claims their new AI framework diagnoses 4x better than doctors. I'm a medical doctor and I actually read the paper. Here's my perspective on why this is both impressive AND misleading ... 🧵

Yes, there is an official marking guideline from the IMO organizers which is not available externally. Without the evaluation based on that guideline, no medal claim can be made. With one point deducted, it is a Silver, not Gold.

Join us at #ICCV2025 for the 1st Embodied Spatial Reasoning Workshop! We're thrilled to host amazing speakers from industry and academia, featuring Sifei Liu, Xiaolong Wang, Fei Xia, and Kate Saenko, to discuss frontiers of spatial reasoning, embodied agents, and robotics! 🔗

“3DSRBench: A Comprehensive 3D Spatial Reasoning Benchmark” by Wufei Ma, Yu-Cheng Chou, Jieneng Chen, Alan Yuille, Celso M de Melo, and more presents the first comprehensive 3D spatial reasoning benchmark: 3dsrbench.github.io (6/10)