Asim Unmesh — Consultant
As a Graduate Research Assistant at Purdue University with over six years of experience, I specialize in Computer Vision, Deep Learning, and Human-Computer Interaction. My research focuses on Video/Action Understanding (VAU), with a strong emphasis on scalable and compositional approaches. At Purdue, I have explored weakly-supervised, zero-shot, open-vocabulary, synthetic datasets, and training-free methods to enhance the scalability and real-world applicability of VAU. I am currently leveraging object priors in research on video generation and grounding, with the goal of developing structured, interpretable, and detail-rich solutions for expanding VAU's downstream applications.
Stackforce AI infers this person is a Computer Vision and AI Research Specialist with a focus on scalable solutions.
Location: West Lafayette, Indiana, United States
Experience: 12 yrs 9 mos
Skills
- Computer Vision
- Deep Learning
Career Highlights
- Over six years of experience in AI research.
- Specializes in Computer Vision and Deep Learning.
- Focused on scalable solutions for Video/Action Understanding.
Work Experience
Purdue University
Graduate Research Assistant (6 yrs 7 mos)
Microsoft
Data Science Research Intern (2 mos)
IIT Kanpur Computer Science and Engineering
Dual Degree Student(Btech + Mtech) (12 yrs 8 mos)
Education
Bachelor’s Degree at Indian Institute of Technology, Kanpur
