SAINITHIN ARTHAM
sai artham at bits-pilani ac in

I am a Research Fellow at BITS Pilani, where I work on machine learning and deep learning for cyper physical systems.

Before that I did my undergrad at the BML Munjal University, where I worked with Soharab Hossain Shaikh and Arijit Maitra.

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Research

I am interested in computer vision and have also worked in vision-language integration. Currently, I am focused on developing vision-language-action models, leveraging advanced techniques in object detection, dense video captioning, and action generation to create systems that can interpret and act upon visual data with a high degree of accuracy and context-awareness. For a full list of publications please see Google Scholar.

Dense Captioning Model A Neural ODE and Transformer‑based Model for Temporal Understanding and Dense Video Captioning
Sainithin Artham, Soharab Hossain Shaikh
Multimedia Tools and Applications, 2024  
arXiv / code, models, data, project page

Dense video captioning with Neural ODE

Dense Captioning Model Pred-AHCP: Robust feature selection enabled Sequence Specific Prediction of Anti-Hepatitis C Peptides via Machine Learning
Akash Saraswat, Utsav Sharma, Aryan Gandotra, Lakshit Wasan, Sainithin Artham, Arijit Maitra, Bipin Singh
Journal of Chemical Information and Modeling, 2024  
arXiv / code, models, data, project page

We developed an explainable ML model that harnesses the amino acid sequence of a peptide to predict its potential as an anti-HepC (AHC) agent

Dense Captioning Model Deep Learning for Autonomous Vehicle Object Detection
Sainithin Artham, Swarali Borde , Shashank Shekhar
IEEE IATSM Coference, 2024  
arXiv

This research explores deep neural networks (VGG16, AlexNet,and GoogleNet) for object classification and detection in autonomousvehicles

This guy is good at website design.