Mithun Parab

I like building things and poking at new ideas, the kind that don't quite fit a tutorial yet. Usually it's computer vision or AI, sometimes it's whatever else has my attention.

Email / CV / Blog / Scholar / Github

Mithun Parab — Computer Vision and AI researcher

Research Experience

Sejong University, Seoul, South Korea (Research Intern) Dr. Y.G. Kim & Dr. Palash Ingle. Advance video anomaly detection technologies by developing robust models to identify and analyze anomalies in video data.	04/24 — 10/24
Indian Institute of Information Technology, Sri City, India (Research Intern) Dr. Pavan Kumar B.N. , Department of CSE Improved 3D SLAM precision and effectiveness using uncalibrated image-based algorithms.	09/23 — 03/24

Selected Publications

	A Comprehensive Study on LLM Agent Challenges Palash Ingle ^* , Mithun Parab^, Pranay Lendave, Pavan Kumar B N AAAI 2024 Spring Symposia on User-Aligned Assessment of Adaptive AI Systems, Stanford University, Stanford, CA, USA.* Paper \| YouTube
	MT3DNet: Multi-Task learning Network for 3D Surgical Scene Reconstruction Mithun Parab^, Pranay Lendave ^ , Jiyoung Kim, Palash Ingle, Thi Quynh Dan Nguyen DOI:10.48550/arXiv.2412.03928
	Innovative Method for Camouflaged Wildlife Segmentation in Agricultural Practices Mithun Parab, Palash Ingle IEEE Xplore Digital Library, International Conference on Advancement in Computation & Computer Technologies. DOI: 10.1109/InCACCT61598.2024.10551184
	Image Enhancement and Exposure Correction Using Convolutional Neural Network Mithun Parab, Amisha Bhanushali, Palash Ingle, Pavan Kumar B N SN Computer Science, Volume 4, Number 2, 2023. DOI: 10.1007/s42979-022-01608-w

Research Projects

	3D Tetris-Inspired Video Synopsis We trained an AI to play 3D Tetris, then reconfigured its constraints to solve video synopsis using Monte Carlo Tree Search with a neural network for spatial-temporal packing.
	DINO-v2-based Method for Video Anomaly Detection A DINO-v2-based approach for video anomaly detection, using feature embeddings and prototype learning to group similar patterns while pushing apart different ones. Anomalies are detected based on deviations from learned prototypes.
	Monte Carlo Tree Search with Neural Network for 3D Bin Packing A Monte Carlo Tree Search algorithm integrated with policy and value networks for solving 3D bin packing problems, optimizing placement in dynamic packing environments.
	3D Novel View Synthesis from Un-calibrated Images A system for synthesizing new 3D views from un-calibrated images, using a NeRF model optimized for Structure from Motion challenges via distinct MLP modules.
	3D Video Synopsis with Multi-task Learning A condensed video synopsis algorithm and Multi-Task Learning network for abnormal activity segmentation and depth mapping, facilitating 3D video summary reconstruction.

Yep it's another Jon Barron's website .
Last updated on 13 February 2025