Muhammad Osama Zeeshan

Computer Vision & Machine Learning Researcher

Montréal, Canada

Presenting my paper, “CLIP-AUTT: test-time personalization with action unit prompting for fine-grained video emotion recognition” at ECCV 2026.

About me

Building human-centered visual intelligence

I am a computer vision and machine learning researcher with a PhD in Systems Engineering from École de technologie supérieure (ÉTS), Montréal. My research focuses on human-centered visual intelligence, multimodal learning, vision-language models, facial dynamics, and personalized model adaptation under real-world distribution shifts.

ECCV 2026 Paper

Action-Unit-Guided CLIP Adaptation for Fine-Grained Video Emotion Recognition

This work introduces an efficient Action-Unit-guided CLIP adaptation method for fine-grained video emotion recognition, focusing on interpretable facial dynamics and personalized video understanding.

View Paper Project Page Coming soon Google Scholar

Stay in touch

Contact details

Email: osamaz.oz31@gmail.com
Phone: +1 438 357 6482
Website: osamazeeshan.github.io
LinkedIn: Muhammad Osama Zeeshan
Scholar: Google Scholar profile