Jay Gala

I'm a final year Computer Science and Management student at NMIMS University, Mumbai. I am currently working as a research intern with Dr. Xiatian Zhu (scholar) and Sauradip Nag (website) at the CVSSP Lab, University of Surrey. I also collaborate with Dr. Sriparna Saha (website) at the Indian Institute of Technology, Patna. If you have an interesting project idea, let's get in touch:

Email / CV / Scholar / LinkedIn / Twitter / Github

Updates

New11/2023 : One paper on Few-shot learning submitted to Pattern Recognition, Elsevier
New10/2023 : One paper on Adaptive-Labeling accepted at NeurIPS 2023 Workshop

Research

I am broadly interested in Computer Vision and Deep Learning. I have worked on medical images and remote sensing using few-shot, meta, federated learning, etc. Recently, I have shifted my focus on Generative Modeling, 3D Vision, Image and Video Synthesis/Editing.

	Adaptive-Labeling for Enhancing Remote Sensing Cloud Understanding Jay Gala, Sauradip Nag, Huichou Huang, Ruirui Liu, Xiatian Zhu Tackling Climate Change with Machine Learning Workshop, NeurIPS 2023 This work introduces a new algorithm to iteratively improve the existing noisy annotations and extract the best performance from any model via combination of Dynamic Thresholding coupled with FixMatch style optimization. Code / ArXiv / Slides
	Enhancing Illegal, Unreported, and Unregulated Fishing Detection through Feature Engineering Jay Gala, Anmaya Agarwal, Saketh Mantha, Yash Katariya, Prashasti Kanikar Presented at the SAS Curiosity Cup, 2023 (14th global rank achieved) Feature engineering on a novel IUU dataset
	Identifying Suspicious Fishing Activity Based on AIS Disabling Events. Anmaya Agarwal, Jay Gala, Saketh Mantha, Yash Katariya, Prashasti Kanikar In review at the Marine Pollution Bulletin Journal, 2023 Release of a novel dataset of illegal fishing vessels and machine learning techniques for identifying them.
	A Review on Detecting Suspicious Fishing Activity Anmaya Agarwal, Jay Gala, Saketh Mantha, Yash Katariya, Prashasti Kanikar Accepted at International Conference on Intelligent Computing and Networking (Highlight Paper), 2023 A review on existing IUU methods. (Proceedings not yet released)

Experience

Research Intern

July 2023 - Present

Working on remote sensing, noisy label learning, transformers, etc.

Research Intern

May 2023 - Present

Working on medical imaging, federated learning, few-shot, meta learning, etc.

Miscellanies (plural of Miscellaneous)

Reviewer in the WiCV Workshop at ICCV 2023, MLH Fellow in the Prep batch of April 2023, TensorFlow Certified Developer (Sponsored by Google to take the test), Graduated from the Google ML Bootcamp in November 2022, Attended CVIT Summer School on Computer Vision in July 2023

Code copied from Jon Barron's website.