Paper: Dynamic Vision from EEG Brain Recordings, How much does EEG know?
Paper: Incremental Multi-Scene Modeling via Continual Neural Graphics Primitives
Paper: BloomCoreset: Fast Coreset Sampling using Bloom Filters for Fine-Grained Self-Supervised Learning
Paper: Search Me Knot, Render Me Knot: Embedding Search and Differentiable Rendering of Knots in 3D
Paper: Learning Robust Deep Visual Representations from EEG Brain Recordings
Paper: Hand Shadow Art: A Differentiable Rendering Perspective - Best Poster Award
Paper: TreeGCN-ED: Encoding Point Cloud using a Tree-Structured Graph Network
Research Experience
Involved in multiple research projects including dynamic visual information encoding from EEG signals, multi-scene modeling, efficient subset sampling methods, and 3D knot structure design.
Education
Ph.D. in Computer Science, IIT Gandhinagar, India, Advisor: Prof. Shanmuganathan Raman
Background
Research interests include 3D computer vision, generative networks, graph neural networks, representation learning, and brain-computer interface (BCI). Currently pursuing a Ph.D. in Computer Science at IIT Gandhinagar, India.