Senthil Purushwalkam
Scholar

Senthil Purushwalkam

Google Scholar ID: T3Tt0S8AAAAJ
OpenAI
Computer VisionMultimodal
Citations & Impact
All-time
Citations
2,265
 
H-index
17
 
i10-index
20
 
Publications
20
 
Co-authors
13
list available
Resume (English only)
Academic Achievements
  • Published multiple papers on topics such as programmatic VLM evaluation, language model faithfulness, contextually faithful LLMs, high-fidelity text-to-video synthesis, open large multimodal models, zero-shot personalized image generation, diffusion model alignment, 3D generation from a single image, challenges of continuous self-supervised learning, effectiveness of pre-trained vision models for control, functional correspondence problem, audio-visual floorplan reconstruction, demystifying contrastive self-supervised learning, aligning videos in space and time, and task-driven modular networks for zero-shot compositional learning.
Research Experience
  • Member of Technical Staff at OpenAI; has extensive research experience in Computer Vision, Robotics, and NLP.
Education
  • Ph.D. in Robotics from Carnegie Mellon University, advised by Prof. Abhinav Gupta.
Background
  • Research interests include Computer Vision and NLP. Recent research focuses on large multimodal models, improving the fidelity and controllability of visual generation models, enhancing NLP models for RAG systems, minimizing hallucinations in LLMs and multimodal models, and creating tailored language and multimodal solutions for enterprise applications.
Miscellany
  • Personal interests and other information not provided