Excited to be at #CVPR 2026 in Denver this week for events around trustworthy AI, embodied reasoning, watermarking, and world models. I will only be around on Thursday, June 4, so please come say hi tomorrow! On June 4, I will be speaking at several CVPR workshops and tutorials: 1⃣ CVPR 2026 Workshop on Trustworthy AI / TRUE-V 🔗 trustworthy-ai-workshop.gith… 📍 9:10–9:40 AM | Room 705/707 Talk Title: A Few Early Steps Away: Building Self-Correcting Vision-Language Systems I will discuss how we can move beyond static vision-language models toward systems that can recognize, reason about, and correct their own failures. 2⃣ The first CVPR Workshop on Embodied Reasoning in Action (ERA) 🔗 embodied-reasoning.github.io… 📍11:45 AM–12:20 PM | Room 605 Talk Title: From Perception to Action: From Latent World Models to State-Aware Scene Graphs for Physical Intelligence This talk will focus on representations and learning systems that connect perception, reasoning, and action for physical intelligence. Later in the day, I will also be part of the CVPR tutorial: 3⃣Foundations and Frontiers of Watermarking 🔗 vishal3477.github.io/waterma… 📍3:30–4:10 PM | Room: Mile High 2B Session Title: Benchmarking & Robustness Evaluation I will cover how to evaluate watermarking systems under distortions, regeneration, and adaptive attacks—an increasingly important direction for trustworthy generative AI. Our team will also present TraceGen at the CVPR main conference. I will not be there on June 6, but my students will be presenting the work — please stop by and talk with them! 4⃣TraceGen: World Modeling in 3D Trace Space Enables Learning from Cross-Embodiment Videos Project 🔗: tracegen.github.io/ YouTube 📽️: youtu.be/JCXnK2tHE_I Poster 📍: Saturday, June 6, 2026 | 11:45 AM–1:45 PM MDT | ExHall F 605 TraceGen introduces a world-modeling framework that predicts future motion in a compact 3D trace space, rather than directly in pixel space. This abstraction preserves the geometry needed for manipulation while reducing dependence on embodiment-specific appearance, enabling learning from heterogeneous human and robot videos and improving transfer to real-world robotic tasks. Fresh out of oven new research: We have also pushed this direction to the next level. Stay tuned for our upcoming release of μ₀, a symbolic world model pretrained only from video data that reaches π₀.₅-level performance. 🔥 Looking forward to seeing friends, collaborators, and new colleagues tomorrow at CVPR! #CVPR2026 #TrustworthyAI #EmbodiedAI #VisionLanguageModels #Robotics #WorldModels #Watermarking #GenerativeAI #PhysicalIntelligence