Shaurya Dewan — accepted AI-conference papers

2026

Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching

Bowen Wen, Shaurya Dewan, Stan Birchfield

CVPR 2026

Stereo foundation models achieve strong zero-shotgeneralization but remain computationally prohibitive forreal-time applications. Efficient stereo architectures, on the other hand, sacrificerobustness for speed and require costly per-domain fine-tuning.To bridge this gap, we present Fast-FoundationS

Cited by 0 Source ↗code ↗Scholar ↗

2023

Canonical Fields: Self-Supervised Learning of Pose-Canonicalized Neural Fields

Rohith Agaram, Shaurya Dewan, Rahul Sajnani, Adrien Poulenard, Madhava Krishna, Srinath Sridhar

CVPR 2023highlight

Coordinate-based implicit neural networks, or neural fields, have emerged as useful representations of shape and appearance in 3D computer vision. Despite advances however, it remains challenging to build neural fields for categories of objects without datasets like ShapeNet that provide "canonicali…

Cited by 5 Source ↗PDF ↗code ↗Scholar ↗