Chaitanya Ryali

15 papers A* 6B 2Journal 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
SAM 2: Segment Anything in Images and Videos.
ICLR
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2025 J jnl
SAM 3: Segment Anything with Concepts.
CoRR
Nicolas Carion, Laura Gustafson, Yuan-Ting Hu, Shoubhik Debnath, Ronghang Hu, Didac Suris, 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 Dollár, Nikhila Ravi, Kate Saenko, Pengchuan Zhang, Christoph Feichtenhofer
2025 J jnl
The SA-FARI Dataset: Segment Anything in Footage of Animals for Recognition and Identification.
CoRR
Dante Francisco Wasmuht, Otto Brookes, Maximillian Schall, Pablo Palencia, Chris Beirne, Tilo Burghardt, Majid Mirmehdi, Hjalmar S. Kühl, Mimi Arandjelovic, Sam Pottie, Peter Bermant, Brandon Asheim, Yi Jin Toh, Adam Elzinga, Jason Holmberg, Andrew Whitworth, Eleanor Flatt, Laura Gustafson, Chaitanya Ryali, Yuan-Ting Hu, Baishan Guo, Andrew Westbury, Kate Saenko, Didac Suris
2024 J jnl
SAM 2: Segment Anything in Images and Videos.
CoRR
Nikhila Ravi, Valentin Gabeur, Yuan-Ting Hu, Ronghang Hu, Chaitanya Ryali, Tengyu Ma, Haitham Khedr, Roman Rädle, Chloé Rolland, Laura Gustafson, Eric Mintun, Junting Pan, Kalyan Vasudev Alwala, Nicolas Carion, Chao-Yuan Wu, Ross B. Girshick, Piotr Dollár, Christoph Feichtenhofer
2024 A* conf
Window Attention is Bugged: How not to Interpolate Position Embeddings.
ICLR
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
2023 A* conf
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
ICML
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
2023 J jnl
Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles.
CoRR
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
2023 A* conf
MAViL: Masked Audio-Video Learners.
NeurIPS
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2023 J jnl
Window Attention is Bugged: How not to Interpolate Position Embeddings.
CoRR
Daniel Bolya, Chaitanya Ryali, Judy Hoffman, Christoph Feichtenhofer
2022 J jnl
MAViL: Masked Audio-Video Learners.
CoRR
Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Haoqi Fan, Yanghao Li, Shang-wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
2021 — —
Leveraging Computer Vision Face Representation to Understand Human Face Representation.
Chaitanya Ryali
2020 B conf
Leveraging Computer Vision Face Representation to Understand Human Face Representation.
CogSci
Chaitanya Ryali, Xiaotian Wang, Angela J. Yu
2019 B conf
A Model-Based Investigating of the Biological Origin of Human Social Perception of Faces.
CogSci
Jingya Huang, Jianling Liu, Dalin Guo, Chaitanya Ryali, Jinyan Guan, Angela J. Yu
2018 A* conf
Beauty-in-averageness and its contextual modulations: A Bayesian statistical account.
NeurIPS
Chaitanya Ryali, Angela J. Yu
2018 A* conf
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation.
NeurIPS
Chaitanya Ryali, Gautam Reddy, Angela J. Yu