6th Multimodal Algorithmic Reasoning Workshop at #CVPR2026 is Thursday (6/4), 8:55 AM–12:30 PM MDT, Room 601, Colorado Convention Center. 👥 Keynote by Juan Carlos Niebles @jcniebles.bsky.social, organized by Honglu Zhou @hongluzhou.bsky.social 📆 sforce.co/4ueOT7j
Juan Carlos Niebles
@jcniebles.bsky.social
Computer Vision, MultiModal AI Agents, Video AI Research Director at @sfresearch.bsky.social Adjunct Professor at cs.stanford.edu & svl.stanford.edu 🔗 www.niebles.net
For those who couldn't make the talk, I’ve just posted a summary and slides on my blog. 🦾 Check it out here: www.niebles.net/blog/2026/ag... Work at @sfresearch.bsky.social by Honglu Z, Artemis P, Ziyang W, Kanchana R and others. #ICLR2026
Agentic Ambient Intelligence: Bringing AI into the Physical World | Juan Carlos Niebles
We explore the future of Agentic Ambient Intelligence and discover how advancements in perception, reasoning, and motion-guided control are bridging the gap between digital AI capabilities and real-wo...
niebles.net
Heading to the DATA-FM workshop at #ICLR2026? 🦾 Catch my invited talk at 1:30 PM today in Room 203A+B: "Agentic Ambient Intelligence: Perception, Reasoning & Action." I’ll be diving into 4 new research pillars for moving AI into the physical world. Come say hi! 📍
Heading to the DATA-FM workshop at #ICLR2026? 🦾 Catch my invited talk at 1:30 PM today in Room 203A+B: "Agentic Ambient Intelligence: Perception, Reasoning & Action." I’ll be diving into 4 new research pillars for moving AI into the physical world. Come say hi! 📍
Our #NeurIPS2025 oral presentation is starting in a few minutes! Join us: ⏰3:30 pm 📍 Ballroom 6AB grafting.stanford.edu arxiv.org/abs/2506.05340
Exploring Diffusion Transformer Designs via Grafting
Exploring Diffusion Transformer Designs via Grafting
grafting.stanford.edu
📢📢 Exciting news! Our paper, "Exploring Diffusion Transformer Designs via Grafting," has been accepted as an Oral at #NeurIPS2025, with only 77 out of 21k submissions receiving this honor. 📄Paper: arxiv.org/abs/2506.05340 🌎Website: grafting.stanford.edu 🧑🏻💻Code: github.com/keshik6/graf...
Such a great two days of workshops! Fuelled by inspiring talks and excellent reconnections with friends and colleagues—definitely my favorite part of the conference. Missed my talk on AI Agents: from Language to Multimodal Reasoning? Summary and slides are here: www.niebles.net/blog/2025/mm...
AI Agents: From Language to Multimodal Reasoning | Juan Carlos Niebles
An outline of our recent journey on AI Agents
niebles.net
That's a wrap on two days of brilliant workshops and tutorials at #ICCV2025! 🥳 Huge thanks to all the organizers, speakers, and participants for the engaging discussions and cutting-edge work. What was your favorite session? Let us know! 👇
Talk is done! Shared our work on Multimodal AI Agents at the #ICCV2025 Workshop on Multi-Modal Reasoning. 🤖 All the slides, key papers, and the research journey are consolidated in this new blog post: 📄https://www.niebles.net/blog/2025/mmagents/ @iccv.bsky.social
We will be presenting Strefer today at Poster 52 9:30-10:30am, join us to learn more about our work on Video-Languange at @salesforce.com AI Research @iccv.bsky.social #ICCV2025 strefer.github.io arxiv.org/abs/2509.03501
Strefer: Data Engine for Video LLMs
strefer.github.io
Happy Monday and Day 2 of #ICCV2025! ☀️ Workshop decision paralysis? Remember to check our online program and pick your favorite one! And keep an eye on your feed for updates :) Program: media.eventhosts.cc/Conferences/...
Check out the latest on Strefer: model & data are now available! arxiv.org/abs/2509.03501 We will see you at #ICCV2025 🏖️
Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data
Next-generation AI companions must go beyond general video understanding to resolve spatial and temporal references in dynamic, real-world environments. Existing Video Large Language Models (Video LLM...
arxiv.org
Strefer: our new work for auto-generating instruction data on space–time–focused video tasks: spatiotemporal reasoning, space-time reference understanding, etc. for Video LLMs ✅ Auto & scalable ✅ Fine-grained, space–time–grounded queries ✅ Effective 📄: arxiv.org/abs/2509.03501 🌐: strefer.github.io
📢📢 Exciting news! Our paper, "Exploring Diffusion Transformer Designs via Grafting," has been accepted as an Oral at #NeurIPS2025, with only 77 out of 21k submissions receiving this honor. 📄Paper: arxiv.org/abs/2506.05340 🌎Website: grafting.stanford.edu 🧑🏻💻Code: github.com/keshik6/graf...
Exploring Diffusion Transformer Designs via Grafting
Exploring Diffusion Transformer Designs via Grafting
grafting.stanford.edu
Strefer: our new work for auto-generating instruction data on space–time–focused video tasks: spatiotemporal reasoning, space-time reference understanding, etc. for Video LLMs ✅ Auto & scalable ✅ Fine-grained, space–time–grounded queries ✅ Effective 📄: arxiv.org/abs/2509.03501 🌐: strefer.github.io
Strefer: Empowering Video LLMs with Space-Time Referring and Reasoning via Synthetic Instruction Data
Next-generation AI companions must go beyond general video understanding to resolve spatial and temporal references in dynamic, real-world environments. Existing Video Large Language Models (Video LLM...
arxiv.org
Check out a new episode of The AI Research Lab - Explained on Multimodal AI. Had a blast creating this with the @salesforce.com team! youtu.be/r98jGdLtO6Q
What is Multimodal AI? | The AI Research Lab - Explained
YouTube video by Salesforce
youtu.be
Congrats Chaitanya on winning the BEST PAPER AWARD 🥇 🏆 Check out details of our work: arxiv.org/abs/2504.12513
Our first #cvpr2025 poster is up! 🕐Come check it out right now until 13:00 “AdaVid: Adaptive Video-Language Pretraining” 🪧ExHall D Poster # 203 📝 arxiv.org/abs/2504.12513
Our first #cvpr2025 poster is up! 🕐Come check it out right now until 13:00 “AdaVid: Adaptive Video-Language Pretraining” 🪧ExHall D Poster # 203 📝 arxiv.org/abs/2504.12513
I'll also be presenting multiple papers at #CVPR2025! First up: "AdaVid: Adaptive Video-Language Pretraining". 🗓️ Thu Jun 12, 12:00-13:00PM 📍 ExHall D Poster #202 🔗 Paper: arxiv.org/abs/2504.12513 🌐 Website: chaitanya100100.github.io/AdaVid/ #VideoLanguage #Pretraining
Just finished a day at the #CVPR2025 Area Chair workshop. Lots of interesting discussions and ideas, reconnection with colleagues and friends. Had the chance to present our ViUnit poster to fellow ACs. If you missed it, come to our Sunday poster session. See details in the 🧵⬇️
Kicking things off on June 11th by participating in the #CVPR2025 Area Chair workshop! Eager to connect with fellow ACs and colleagues. Let's make this an impactful conference!
Excited to attend #CVPR2025 in Nashville! 🤠 Looking forward to a fantastic week of cutting-edge computer vision research and connecting with the community. @cvprconference.bsky.social
Just dropped a new blog post: "Level up your Agents: Teaching Vision-Language Models to Play by the Rules"! We're exploring how to make Vision-Language Models (VLMs) even smarter at interactive tasks. blog: www.niebles.net/blog/2025/vl... arxiv: arxiv.org/abs/2505.03181 #multimodalAI #agents #VLM
Check out this great intro to Large Action Models, the key engine powering the AI Agent revolution. 🤖 By @salesforce.com AI Research’s Shelby Heinecke. See video here: youtube.com/watch?v=vlvv...
What Are Large Action Models? | The AI Research Lab - Explained
YouTube video by Salesforce
youtube.com
@salesforce.com #AI Research has a new series called "AI Explained." 🎬 "The AI Research Lab - Explained" debuts with our groundbreaking work on Large Action Models! Sr. Mgr Shelby Heinecke reveals how we're training these specialized models to generate precise, executable actions. t.co/XLhlN2EZyk
https://bit.ly/4kfipp4
t.co
Behind every great conference is a team of dedicated reviewers. Congratulations to this year’s #CVPR2025 Outstanding Reviewers! cvpr.thecvf.com/Conferences/...
Will AI be a "bicycle for the mind" boosting our creativity, or could it overshadow our own abilities? 🤔 📝 My latest blog explores this fascinating question! Read more here: www.niebles.net/blog/2025/cr... #AI #creativity #artificialintelligence
niebles
With AI models trained in colossal datasets, does the traditional concept of “generalization” (performing well on *unseen* data) still hold? My latest blog outlines this critical question. Join the discussion! #AI #MachineLearning #Generalization www.niebles.net/blog/2025/ga...
Always love Juan Carlos's blogs! 😍 His latest dives into how our #CVPR2025 work, ViUniT, catches sneaky bugs in visual programs using synthetic visual unit tests. Fewer lucky mistakes, better and more reliable results, and even small open models beating GPT-4o-mini. Super cool stuff 👇
New blog post: "Are your Visual Programs Right for the Wrong Reasons?" 🤔 Dive into the motivation behind our @cvprconference.bsky.social #CVPR2025 paper! 📰 Blog: www.niebles.net/blog/2025/vi... ➡️ Project: artemisp.github.io/viunit/ 📄 Paper: arxiv.org/abs/2412.08859 Work by Artemis P & Honglu Z
New blog post: "Are your Visual Programs Right for the Wrong Reasons?" 🤔 Dive into the motivation behind our @cvprconference.bsky.social #CVPR2025 paper! 📰 Blog: www.niebles.net/blog/2025/vi... ➡️ Project: artemisp.github.io/viunit/ 📄 Paper: arxiv.org/abs/2412.08859 Work by Artemis P & Honglu Z
New blog post: "Are your Visual Programs Right for the Wrong Reasons?" 🤔 Dive into the motivation behind our @cvprconference.bsky.social #CVPR2025 paper! 📰 Blog: niebles.net/blog/2025/vi... ➡️ Project: artemisp.github.io/viunit/ 📄 Paper: arxiv.org/abs/2412.08859 Work by Artemis P & Honglu Z
Love it or hate it, arXiv has absolutely transformed science. apple.news/AEGQX2qrgQZi...
Inside arXiv—the Most Transformative Platform in All of Science — WIRED
Modern science wouldn’t exist without the online research repository known as arXiv. Three decades in, its creator still can’t let it go.
apple.news
Just around the corner! 🥁 Stay tuned for the latest from the AI Index. ⬇️⬇️
Want to join the conversation on AI—and be heard? Use trusted insights from the Stanford HAI #AIIndex2025 to spark smarter dialogue and back your ideas with data that matters. Stay informed with the AI Index, coming April 7: hai.stanford.edu/ai-index
Honored to be named a top 100 AI leader in Colombia! 🇨🇴. Proud to advance computer vision & multimodal AI at Salesforce AI Research & Stanford Vision and Learning lab. www.linkedin.com/posts/observ... #ArtificialIntelligence #ComputerVision #AIResearch #Colombia
Los 100 líderes más destacados en Inteligencia Artificial en Colombia en… | Observatorio de la Inteligencia Artificial en Colombia | 15 comments
Los 100 líderes de la Inteligencia Artificial en Colombia!. 🧠💥 Colombia ya no es solo café… también está pariendo genios en Inteligencia Artificial. En un… | 15 comments on LinkedIn
linkedin.com
Exciting news! The 2025 AI Index is coming soon! 🚀 Get ready for a data-driven look at the latest trends and progress in AI. If you want to understand the field, this is your go-to resource. Stay tuned for the release! #AI #ArtificialIntelligence #AIIndex2025
The Stanford HAI #AIIndex2025 report launches April 7. Packed with rigorously vetted data, it provides an independent lens on AI’s progress, its adoption across various sectors, and its far-reaching impact. Be among the first to receive the report: hai.stanford.edu/ai-index
#CVPR2025 AC thought for reviewers: When writing your “justification of rating,” clearly highlight the key points from the reviews, discussions, and rebuttal that led to your final recommendation. This helps area chairs understand your decision-making and provides valuable feedback to authors. 1/2