SAINITHIN ARTHAM
sai artham at bits-pilani ac in

I'm Sainithin Artham, currently a Research Fellow at IIIT Hyderabad, working under the guidance of Prof. C.V. Jawahar in the CVIT Lab. My research lies at the intersection of multimodal AI, autonomous driving, and deep learning for structured and unstructured environments.

Before this, I worked at BITS Pilani as a Junior Research Fellow, where I applied computer vision techniques for structural health monitoring in smart infrastructure systems. Prior to that, I completed my undergraduate studies at BML Munjal University, where I had the opportunity to work with Dr Soharab Hossain Shaikh on video understanding, and with Dr Arijit Maitra on deep learning and machine learning for healthcare applications .

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My research focuses on building intelligent systems that combine vision, language, and geometry to enable real-world decision-making in complex environments. At IIIT Hyderabad, I work on developing agentic AI pipelines for autonomous driving by integrating multimodal foundation models. Previously, I worked on video understanding using Bayesian Neural ODEs and transformers. For a full list of publications please see Google Scholar.

This paper proposes Bayesian-based neural ordinary differential equations (Bayesian neural ODEs—BNODEs) as an alternative approach for video event localization

Dense video captioning with Neural ODE

We propose a novel framework that leverages an encoder-decoder mechanism powered by VidSwin to extract global features, which are subsequently combined with the local context. To achieve this, we designed ConvLoA, a convolutional local attention mechanism dedicated to computing contextual focus within localized areas in video frames

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

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

This guy is good at website design.