Soham Shinde

Experience | Publications | Contact | Phone

I am a final-year undergraduate student at BITS Pilani, K.K Birla Goa Campus , pursuing a Bachelor’s in Electronics and Communications Engineering with a minor in Data Science. I am interested in interdisciplinary research, particularly in the domains of Computer Vision and Applied Machine Learning.

Currently, my focus lies on Gaze Estimation and other computer vision techniques through my thesis project with Dr. Yuvaraj and Dr. Amalin. My work involves developing advanced gaze estimation models using deep learning and analyzing correlations between gaze patterns and student engagement to assess attention in educational settings. Additionally, I have experience in 3D Computer Vision, specifically in Point Cloud Processing, where I worked on implementing supervised algorithms for Human Cloth Segmentation - CloSe. In conclusion, my research revolves around Computer Vision, 3D Modeling, Applied Machine Learning, HCI, and Robotics

Previously, I contributed to various student-led projects at BITS Pilani, Goa, including Project Kratos, where I was involved in the Autonomous Subsystem of a Mars Rover prototype. Furthermore, I serve as the Events, Initiatives, and Sponsorship Head at the Center for Technical Education, BITS Goa.

During my free time, I enjoy playing my ukulele and listening to music. =)

Email | CV | GitHub | LinkedIn

	Thesis Student \| Nanyang Technological University June '24 - Present Developing gaze estimation models using Computer Vision and Deep Learning for Affective Computing in education. Analyzing correlations between gaze patterns and student engagement to establish quantitative measures of attention.
	Intern \| TCS Research June '24 - August '24 Optimized a SAM-based image segmentation GUI, enabling efficient AI-assisted annotation, and developed an automated mechanism to aggregate segmented regions into sub-scenes, enhancing the semantic understanding of complex images.
	Research Intern \| CSIR-CEERI, Pilani May '23 - August '23 Worked under under the supervision of Dr Dhiraj Sangwan on developing a comprehensive image restoration pipeline, enhancing my skills in Computer Vision and Deep Learning, covering Image Segmentation, Image Processing, and GANs.

Subscene Segmentation for Artwork Scene Understanding
Paper

Soham Shinde and Vikram Jamwal

Submitted at ECCV AI4VA Workshop.

Damage Segmentation and Restoration of Ancient Wall Paintings for Preserving Cultural Heritage
Paper

HS Baath, S. Shinde, J. Keniya, PR. Mishra, A. Saini and D. Sangwan

Accepted at the 8th International Conference on Computer Vision & Image Processing (CVIP-2023)

This template is a modification to Jon Barron's website. Find the source code to my website here.