Aashish Rai
Scholar

Aashish Rai

Google Scholar ID: RxaDP08AAAAJ
Brown University
4D VisionNovel View SynthesisMultimodal
Citations & Impact
All-time
Citations
88
 
H-index
5
 
i10-index
3
 
Publications
9
 
Co-authors
12
list available
Resume (English only)
Academic Achievements
  • - Paper 'GaussUV: Long-Duration Free-Viewpoint Video with Gaussian UV Maps' under submission
  • - Paper 'UVGS: Reimagining Unstructured 3D Gaussian Splatting using UV Mapping' accepted at CVPR 2025
  • - Paper 'EgoSonics: Generating Synchronized Audio for Silent Egocentric Videos' accepted at WACV 2025
  • - Paper 'Towards Realistic Generative 3D Face Models' accepted at WACV 2024
  • - Received NeurIPS 2025 'Top Reviewer' award
Research Experience
  • - Researcher/Intern (CW) at Meta Reality Labs, hosted by Aayush Prakash, Burlingame, CA, USA, May 2024 - 2025
  • - Research Assistant at Robotics Institute, Carnegie Mellon University, advisor: Fernando De la Torre, Pittsburgh, PA, USA, Sept 2021 - June 2023
  • - Research Intern at Shared Reality Lab, McGill University, advisor: Jeremy Cooperstock, Montreal, Canada, May 2020 - Mar 2021
  • - Undergraduate Researcher at Norwegian Biometrics Laboratory, NTNU Norway, advisors: Kishor Upla, Christoph Busch, Dec 2019 - May 2020
  • - Undergraduate Researcher at MLCV Lab, NIT Surat, advisor: Kishor Upla, Surat, India, Jan 2019 - Nov 2019
Education
  • - Ph.D. in Computer Science at Brown University, supervised by Srinath Sridhar, since Aug 2023
  • - Research Assistant at Robotics Institute, Carnegie Mellon University, advised by Fernando De la Torre, from Sept 2021 to June 2023
  • - Undergraduate studies in ECE at NIT Surat, India, worked with Kishor Upla, timing not specified
Background
  • Research interests: efficient methods for 3D/4D novel view synthesis and reconstruction, generative 4D world modeling. Hopes to contribute to building AI systems that can effectively understand and generate the physical world around us.
Miscellany
  • Open to research collaborations in 3D/4D and related fields