Vibhav Vineet

My research interests are in computer vision, agentic AI, video understanding and generation, and synthetic data. My research is focused on building trust-by-design AI agents that can reliably perceive and reason about real-world environments, expose their reasoning, quantify uncertainty, and invite human oversight. Topics of interest. 1) Safe agentic AI. 2) Synthetic data for computer vision and AI models. 3) Multi-modal robustness analysis and reasoning. 4) Video understanding and generation.

If you are interested in research collaborations or doing research internship at MSR Redmond, please contact me.

Recent and Selected Publications

• Just Do It!? Computer-use Agents Exhibit Blind Goal-Directedness, ICLR 2026
  
• Aurelius: Relation Aware Text-to-Audio Generation At Scale, ICLR 2026
  
• Fara-7B:AnEfficientAgentic Model for Computer Use, ArXiv 2025
  
• Phi-4-reasoning technical report, ArXiv 2025
  
• Inference-Time Scaling for Complex Tasks: Where We Stand and What Lies Ahead, ArXiv 2025
  
• HierarQ: Task-Aware Hierarchical Q-Former for Enhanced Video Understanding, CVPR 2025
  
• Unearthing Skill-Level Insights For Understanding Trade-Offs Of Foundation Models, ICLR 2025
  
• DreamDistribution: Prompt Distribution Learning for Text-to-Image Diffusion Models, ICLR 2025
  
• MM-GEN: Enhancing Task Performance Through Targeted Multimodal Data Curation, ArXiv 2025
  
• Controllable Text-to-Image Generation with GPT-4, ArXiv 2023
  
• 3db: A framework for debugging computer vision models, NeurIPS 2022
  
• Neural-Sim: Learning to Generate Training Data with NeRF, ECCV 2022
  
• Benchmarking Spatial Reasoning Abilities of Text-to-Image Generative Models, ArXiv 2022
  
• DALL-E for Detection: Language-driven Context Image Synthesis for Object Detection, ArXiv 2022
  
• Inferring Articulated Rigid Body Dynamics from RGBD Video, IROS 2022
  
• AutoSimulate:(Quickly) Learning Synthetic Data Generation, ECCV 2020
  
• Playing for data: Ground truth from computer games, ECCV 2016
  
• Feature space optimization for semantic video segmentation, CVPR 2016
  
• Semanticpaint: Interactive 3d labeling and learning at your fingertips, ACM TOG 2015
  
• The semantic paintbrush: Interactive 3d mapping and recognition in large outdoor spaces, CHI 2015