Ryali, Chaitanya

10 publications

ICLR 2026 SAM 3: Segment Anything with Concepts Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris Coll-Vinent, Chaitanya Ryali, Kalyan Vasudev Alwala, Haitham Khedr, Andrew Huang, Jie Lei, Tengyu Ma, Baishan Guo, Arpit Kalla, Markus Marks, Joseph Greer, Meng Wang, Peize Sun, Roman Rädle, Triantafyllos Afouras, Effrosyni Mavroudi, Katherine Xu, Tsung-Han Wu, Yu Zhou, Liliane Momeni, Rishi Hazra, Shuangrui Ding, Sagar Vaze, Francois Porcher, Feng Li, Siyuan Li, Aishwarya Kamath, Ho Kei Cheng, Piotr Dollar, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer

ICLR 2025 SAM 2: Segment Anything in Images and Videos Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloe Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross Girshick, Piotr Dollar, Christoph Feichtenhofer

ICLR 2024 Window Attention Is Bugged: How Not to Interpolate Position Embeddings Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer

ICML 2023 Hiera: A Hierarchical Vision Transformer Without the Bells-and-Whistles Chaitanya Ryali, Yuan-Ting Hu, Daniel Bolya, Chen Wei, Haoqi Fan, Po-Yao Huang, Vaibhav Aggarwal, Arkabandhu Chowdhury, Omid Poursaeed, Judy Hoffman, Jitendra Malik, Yanghao Li, Christoph Feichtenhofer

NeurIPS 2023 MAViL: Masked Audio-Video Learners Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer

ICLR 2021 Can a Fruit Fly Learn Word Embeddings? Yuchen Liang, Chaitanya Ryali, Benjamin Hoover, Leopold Grinberg, Saket Navlakha, Mohammed J Zaki, Dmitry Krotov

NeurIPSW 2021 Learning Background Invariance Improves Generalization and Robustness in Self-Supervised Learning on ImageNet and Beyond Chaitanya Ryali, David J. Schwab, Ari S. Morcos

ICML 2020 Bio-Inspired Hashing for Unsupervised Similarity Search Chaitanya Ryali, John Hopfield, Leopold Grinberg, Dmitry Krotov

NeurIPS 2018 Beauty-in-Averageness and Its Contextual Modulations: A Bayesian Statistical Account Chaitanya Ryali, Angela J. Yu

NeurIPS 2018 Demystifying Excessively Volatile Human Learning: A Bayesian Persistent Prior and a Neural Approximation Chaitanya Ryali, Gautam Reddy, Angela J. Yu