Ritik Raina

Hello! 👋 I am a first-year Cognitive Science PhD student at Stony Brook University, under the supervision of Dr. Gregory Zelinsky in the EyeCog Lab.

My research interests are in the intersection of multimodal generative modelling and visual perception, focusing on building brain-inspired neural network architectures and generating human-aligned visual content.

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Recent News
New! February 2024 Poster accepted at VSS 2024!
September 2023 Paper accepted at NeurIPS 2023!
August 2023 Excited to start my PhD journey at Stony Brook University.
March 2023 Article accepted at Journal of Vision 2023!
December 2022 Paper accepted at NeurIPS SyntheticData4ML Workshop 2022!
June 2022 Joined the de Sa Lab as a Pre-Doctoral Researcher.
June 2022 Graduated from UC San Diego with a B.S. in Cognitive Science and minor in Computer Science!
January 2022 Accepted as a Student Researcher at Intel Corporation.
December 2021 Paper accepted at NeurIPS SVRHM Workshop 2021!
January 2021 Joined the de Sa Lab as a Research Assistant working with Virginia de Sa and Vijay Veerabadran.
January 2021 Accepted as an Undergraduate Researcher - Machine Learning at IBM Research in collaboration with Center for Microbiome Innovation.

Timeline

Research

My current research interests intersect computer vision, representational learning, and neuroscience.
(Representative papers are highlighted. *=equal contribution)

Generating objects in peripheral vision using attention-guided diffusion models
Ritik Raina, Seoyoung Ahn, Gregory Zelinsky
VSS 2024 | Vision Sciences Society
Adaptive recurrent vision performs zero-shot computation scaling to unseen difficulty levels
Vijay Veerabadran*, Srinivas Ravishankar*, Yuan Tang, Ritik Raina, Virginia R. de Sa
NeurIPS 2023 | Conference Proceedings

Cortically motivated recurrence enables task extrapolation
Vijay Veerabadran, Yuan Tang, Ritik Raina, Virginia R. de Sa
COSYNE 2023 | Computational and Systems Neuroscience

Exploring Biases in Facial Expression Analysis using Synthetic Faces
Ritik Raina, Miguel Monares, Mingze Xu, Sarah Fabi, Xiaojing Xu, Lehan Li, Will Sumerfield, Jin Gan, Virginia R. de Sa
NeurIPS 2022 | Workshop on Synthetic Data Generation with Generative AI (SyntheticData4ML)

Bio-inspired learnable divisive normalization for ANNs
Vijay Veerabadran, Ritik Raina, Virginia R. de Sa
NeurIPS 2021 | Workshop on Shared Visual Representations in Human & Machine Intelligence (SVRHM)


Teaching
PSY 260: Survey in Cognition and Perception, Stony Brook University
Spring 2024

Graduate Teaching Assistant
PSY 367: Memory, Stony Brook University
Fall 2023

Graduate Teaching Assistant

Template from Jon Barron, Kenny Chen, Johann Wentzel.