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I work on problems in computer vision and medicine at Zestral. I am an incoming MSCS student at University of Massachusetts, Amherst Currently, I am a final-year computer science undergrad at VIT University, Chennai, advised by Dr. Pandiyaraju V. Previously I interned as a backend developer at Prodapt Solutions Private Ltd. In the summer of 2024, I was an intern at MedxAI mentored by Dr. Susan Elias and Dr. Sheena Pravin. Email / CV / Google Scholar / GitHub / LinkedIn |
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AI assisted UGI endoscopy
Multi Modal Graph Based Deception Detection
Few-Shot learning based plant disease identification
Vision based Cervical Cancer Identification
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Shravan Venkatraman, Pavan Kumar S, Rakesh Raj, Chandrakala S, Accpeted(Poster): Third Workshop on Computer Vision for Automated Medical Diagnosis code / paper / project page Performs Global-to-local analysis using Progressive learning guided by uncertainty quantification to identify regions of diagnostic ambiguity followed by detailed evidence based classification. |
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Shravan Venkatraman, Rakesh Raj Madavan, S Pavan Kumar Submitted: BMVC 2025 code / paper / project page Models camera poses as probabilistic distributions with learnable uncertainty to enable robust surface reconstruction under significant pose errors. |
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S Pavan Kumar, Maheswer Sunil Kumar, Pranay Jiljith T, Pandiyaraju V In Progress. code / paper / project page Combine Audio and Video Modalities utilizing graph based techniques to identify deception in court-trials and game shows. |
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Yep it's another Jon Barron website. |