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About Me:-

I'm a 1st year PhD student at UC Riverside, affiliated with the VCG AND ARCS groups. Before that, I completed my Bachelors (BTech) in Computer Science and Engineering from University of Calcutta, Technology Campus. I primarily work at the intersection of computer vision, LLM's and robot learning, specifically on grounding in robotics. Earlier, I worked on a bunch of problems in vision and graphics such as BRDF estimation, action recognition, 2D shape recon and even theory such as lipschitz regularization.

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Sarosij Bose's Projects

action-recognition-pytorch icon action-recognition-pytorch

This is the pytorch implementation of some representative action recognition approaches including I3D, S3D, TSN and TAM.

cats-and-dogs icon cats-and-dogs

Here a deep learning model is built to predict whether an image is that of a dog or a cat from it's image using the famous MNIST dataset.85.1% accuracy is achieved.

classifytoview icon classifytoview

This Repository detects and classifies Diseases in leafs as well as uses the FiftyOne tool to visualize various data parameters.

cs344 icon cs344

Introduction to Parallel Programming class code

dad icon dad

Data Free adversarial defence at test time

flower-species-prediction icon flower-species-prediction

This project aims to predict to which species of Iris family does a flower belong to among three species:Iris setosa, Iris virginica and Iris versicolor.A ML model is created which uses the Iris flower dataset containing 50 samples of each flower or a total of 150 samples. The model uses a SVM for classification and also runs a Gridsearch for finding the optimal parameters.98% accuracy is achieved.

lbann icon lbann

Overview of Lipschitz regularization of Neural Networks (FCNNs and CNNs)

loan-payback icon loan-payback

Here a ML model is built to predict whether a borrower will be able to payback a loan or not using real world data from LendingClub.com from 2007-2010.

rescnn icon rescnn

ResCNN: An alternate CNN implementation

review-classifer icon review-classifer

This is a NLP/ML model which aims to predict what rating will a customer give a business listed on Yelp in the future.

robustfreqcnn icon robustfreqcnn

This repository contains the [PyTorch] implementation of the paper: "Towards Frequency-Based Explanation for Robust CNN"

slowfast icon slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

soccerkdnet icon soccerkdnet

A unified framework for KD applied to Sport Analytics

tsclite icon tsclite

This repository contains an implementation of Traffic Sign Classification using the OpenVINO toolkit Inference Engine.

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