DreamX: Video Diffusion Model is a Universal Latent Action Learner
Paper • 2611.05377 • Published • 42
Fu-En Yang
FuEnYang
AI & ML interests
Computer Vision, Deep Learning, Vision-Language Models (VLMs), Vision-Language-Action Models (VLAs), Reasoning Models, Embodied AI
Recent Activity
authored a paper about 2 hours ago
DreamX: Video Diffusion Model is a Universal Latent Action Learner upvoted a paper about 4 hours ago
DreamX: Video Diffusion Model is a Universal Latent Action Learner authored a paper 7 days ago
ThinkWorld: World Imagination Reinforces Chain-of-Dynamics ReasoningOrganizations
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upvoted a paper about 4 hours ago
authored 6
papers 7 days ago
ThinkWorld: World Imagination Reinforces Chain-of-Dynamics Reasoning
Paper • 2610.37666 • Published • 60
TT-VidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining
Paper • 2609.33419 • Published • 17
ReactVAU: A Slow-Fast Decoupled Framework for Streaming Video Anomaly Understanding
Paper • 2609.07941 • Published • 5
Scal3R: Learning Efficient Multi-Relative Pose Query for Scalable Online 3D Reconstruction
Paper • 2609.04201 • Published • 40
PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration
Paper • 2608.21031 • Published • 4
Physics in 2-Steps: Locking Motion Priors Before Visual Refinement Erases Them
Paper • 2606.06361 • Published • 16
upvoted a paper 7 days ago
upvoted a paper 15 days ago
upvoted 8
papers about 1 month ago
Rethinking Latent Visual Reasoning: Grounding Latent Reasoning in Visual Evidence
Paper • 2609.34563 • Published • 24
False Frontiers: Diagnosing and Mitigating Co-Cheating in Self-Evolving Search Agents
Paper • 2609.39102 • Published • 151
AREX-2: Advancing Self-Improving Agents through Long-Horizon Reflective Tasks
Paper • 2609.38288 • Published • 88
EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery
Paper • 2609.40340 • Published • 91
UniEvo-VL: An On-policy Self-Distillation Training Recipe for Multimodal Model Self-improvement
Paper • 2609.38721 • Published • 134
Omni-IO Skills: Harnessing Your Agent Omni-Native
Paper • 2609.31847 • Published • 45
In-Context Learning for Robots: Methods and Applications
Paper • 2609.36012 • Published • 91
Mid-Harness: Scaling Actions Between Model and Harness for Terminal Agents
Paper • 2609.39982 • Published • 96
upvoted a paper 2 months ago
upvoted a paper 4 months ago