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I am a third-year Cognitive Science Ph.D. student at Stony Brook University working with Dr. Gregory Zelinsky.
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.
I am always interested in research collaborations. Feel free to schedule a 30-min meeting on GCal if you are interested in collaborating or discussing research ideas.
- Paper accepted at ICLR 2026!
- Short paper accepted at CCN 2025!
- Talk Presentation accepted at VSS 2025!
- Poster accepted at OPAM 2024 (also won Best Poster Award!)
- Short paper accepted at CCN 2024!
- Talk Presentation accepted at VSS 2024!
- Paper accepted at NeurIPS 2023!
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Generating metamers of human scene understanding
Ritik Raina, Abe Leite, Alexandros Graikos, Seoyoung Ahn, Dimitris Samaras, Gregory Zelinsky
ICLR 2026 (Oral) -
Seen2Scene: a generative model of fixation-by-fixation scene understanding
Ritik Raina, Abe Leite, Alexandros Graikos, Seoyoung Ahn, Gregory Zelinsky
CCN 2025 -
Modeling human scene understanding fixation-by-fixation using generative models
Ritik Raina, Alexandros Graikos, Abe Leite, Seoyoung Ahn, Gregory Zelinsky
VSS 2025 -
Framework for a Generative Multi-modal model of Embodied Thought
Gregory Zelinsky, Ritik Raina, Abe Leite, Seoyoung Ahn
CCN 2024 -
Generating objects in peripheral vision using attention-guided diffusion models
Ritik Raina, Seoyoung Ahn, Gregory Zelinsky
VSS 2024 -
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 -
Cortically motivated recurrence enables task extrapolation
Vijay Veerabadran, Yuan Tang, Ritik Raina, Virginia R. de Sa
COSYNE 2023 -
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 SyntheticData4ML Workshop 2022 -
Bio-inspired learnable divisive normalization for ANNs
Vijay Veerabadran, Ritik Raina, Virginia R. de Sa
NeurIPS SVRHM Workshop 2021