Ryali, Chaitanya

9 publications

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