Utsav Panchal

Hi, I completed my Masters Degree in Information Technology from University of Stuttgart in Germany. In my Master Thesis, I conducted research on multiple-human behaviour prediction using Vision Language Models under the supervision of Yuchen Liu, Luigi Palmieri, and Prof. Dr. Marco Aiello, in colloboration with Bosch Center for Artificial Intelligence.

📍 Located in Stuttgart, Germany

My research interest lies in the area of Machine Learning, Deep Learning & Vision Language Models.

Utsav Panchal

Hi!

My research interest lies in the area of Machine Learning, Vision Language Models and Scene Understanding.

Research

Seeing is Believing (and Predicting): Context-Aware Multi-Human Behavior Prediction with Vision Language Models
Utsav Panchal, Yuchen Liu, Luigi Palmieri, Ilche Georgievski , Marco Aiello
IEEE CVF Winter Conference on Applications of Computer Vision (WACV) , 2026
pdf | project-page | code (coming soon)

Multi-Human Behavior Prediction using Vision Language Models
Utsav Panchal,
M.Sc. Thesis, University of Stuttgart & Bosch Research, 2025
thesis | slides | code | bibtex

A Large Language Model as Virtual Assistant for a Robot
Utsav Panchal
Research Thesis, University of Stuttgart, 2024
paper | code

Projects

ROSGPT: A Framework to control ROS based applications using LLMs
Utsav Panchal,
Developed a voice assistant for mobile robots using LLMs that responds to natural human query like "Move the robot 5m forward", leveraging GPT-3.5 API integrated with ROS packages to develop the architecture.
code

Diabetic Retinopathy Detection using deep learning
Utsav Panchal,
This project applies deep learning to detect diabetic retinopathy from retinal images, enabling early diagnosis, improved accuracy, and scalable screening support to assist clinicians in preventing vision loss.
code

Human Activity Recognition - Deep Learning based mobile application
Utsav Panchal,
The goal of the project is to use Deep learning techniques to identify various human activities. The project uses time-series data which is acquired from accelerometer and gyroscope sensors in smartphones
paper | code | Mobile App src code

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