Shravan Venkatraman

I do research in computer vision and graphics, and build AI-tech for computer aided diagnostics at Zestral.

I am an incoming M.Sc. computer vision student at MBZUAI. Currently, I am a final-year computer science undergrad at VIT University, Chennai, advised by Dr. Joe Dhanith and Dr. Pandiyaraju.

I am also a research intern at Nagasaki University advised by Dr. Muthu Subash Kavitha. 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

Highlights

PDE-NeRF
Explicit physics over implicit geometry

SAG-ViT
Graph-guided visual scales

EndoBuddy
AI-assisted UGI-Endoscopy

WCM-DCGAN / X-ViT
Weather-guided visual resilience

News

Apr 07, 2025 – Honored to receive the Sir C. V. Raman Award from VIT Chennai for the second time in recognition of my research!

Feb 28, 2025 - FUSION is accepted to CVPR'25 Workshops: NTIRE!

Feb 28, 2025 - We showcased and presented CerviLens at IInvenTiv'25 at IIT Madras, representing MedxAI Innovations!

Feb 06, 2025 - Our paper, Leveraging Bi-Focal Perspectives and Granular Feature Integration for Accurate, Reliable Early Alzheimer’s Detection is accepted to IEEE Access!

Jan 25, 2025 - I am honored to have been admitted to the MSc. in Computer Vision program at MBZUAI!

Dec 12, 2024 - Proud to have been selected as a recipient of the Sir C. V. Raman Award by VIT Chennai for my research!

Jun 23, 2024 - I presented our paper on attention-fused deep CNNs at the \(8^{th}\) ICRAS in Tokyo, Japan!

Selected Publications

	Making NeRF See Structure, Not Just Light: Enforcing PDE-Based Surface Constraints for 3D Consistency Shravan Venkatraman, Pandiyaraju V Submitted: ACM Transactions on Graphics code & paper: post acceptance Enforcing physical surface properties through PDE constraints yields geometrically accurate neural scene representations from sparse views.
	SAG-ViT: A Scale-Aware, High-Fidelity Patching Approach with Graph Attention for Vision Transformers Shravan Venkatraman, Jaskaran Singh Walia, Joe Dhanith P R Submitted: Complex and Intelligent Systems code / paper / Hugging Face Structuring attention through multi-scale graphs enable transformers to reason across visual hierarchies.
	A Hierarchical MRI-Based Feature Profiling Approach for Identifying Neurodegenerative Disease-Specific Biomarkers Shravan Venkatraman, Joe Dhanith P R, Muthu Subash Kavitha Submitted: IEEE Transactions on Neural Systems and Rehabilitation Engineering code & paper: post acceptance Bridging local-global brain patterns and transforming disconnected MRI patches into spatially-coherent disease markers through residual graphs.
	Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention Joe Dhanith P R, Shravan Venkatraman, Vigya Sharma, Santhosh Malarvannan, Modigari Narendra Submitted: IEEE Transactions on Affective Computing code / paper Cross-modal attention enables synchronized audio-visual feature extraction through Transformer fusion for emotion recognition.
	Enhancing Traffic Sign Classification in Autonomous Vehicular Technology Using Weather-Conditioned Synthetic Data and Xception-Enhanced Vision Transformers Joe Dhanith P R, Shravan Venkatraman, Raja Soosaimarian Peter Raj, Abeshek A, Santhosh Malarvannan, Jashwanth R, Shriyans A Submitted: IEEE Transactions on Intelligent Transportation Systems code / paper: post acceptance Physically-grounded weather conditioning through GANs combined with adaptive Transformer tokenization preserves high-frequency sign details under adverse conditions.

Teaching

BCSE332P - Deep Learning Lab (Fall 2024)

Yep it's another Jon Barron and Ben Mildenhall website.
Last updated April 2025.