Ross Girshick

Allen Institute — United States

Computer Science · Physical Sciences

84h-index344.6kcitations175works33.72yr avg
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Research Topics

Advanced Neural Network Applications(105), Advanced Image and Video Retrieval Techniques(73), Domain Adaptation and Few-Shot Learning(69), Multimodal Machine Learning Applications(48), Human Pose and Action Recognition(32)

Publications175 total

SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding
arXiv (Cornell University)·2025Open Access
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
2025· 23 cited
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
arXiv (Cornell University)·2024· 7 citedOpen Access
SAM 2: Segment Anything in Images and Videos
arXiv (Cornell University)·2024· 206 citedOpen Access
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators
arXiv (Cornell University)·2024Open Access
Fast R-CNN
TIB Data Manager·2024Open Access
Faster R-CNN object detector
TIB Data Manager·2024Open Access
Segment Anything
2023· 7.8k cited
The effectiveness of MAE pre-pretraining for billion-scale pretraining
2023· 37 cited
Segment Anything
arXiv (Cornell University)·2023· 512 citedOpen Access
The effectiveness of MAE pre-pretraining for billion-scale pretraining
arXiv (Cornell University)·2023· 2 citedOpen Access
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022· 84 cited
Masked Autoencoders Are Scalable Vision Learners
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)·2022Open Access
Exploring Plain Vision Transformer Backbones for Object Detection
arXiv (Cornell University)·2022· 42 citedOpen Access
Revisiting Weakly Supervised Pre-Training of Visual Perception Models
arXiv (Cornell University)·2022· 5 citedOpen Access
Exploring Plain Vision Transformer Backbones for Object Detection
Lecture notes in computer science·2022· 665 cited
Early Convolutions Help Transformers See Better
Neural Information Processing Systems·2021· 19 cited
Benchmarking Detection Transfer Learning with Vision Transformers
arXiv (Cornell University)·2021· 75 citedOpen Access
PyTorchVideo: A Deep Learning Library for Video Understanding
arXiv (Cornell University)·2021· 1 citedOpen Access
Masked Autoencoders Are Scalable Vision Learners
arXiv (Cornell University)·2021· 190 citedOpen Access
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Frequent Co-authors

Kaiming He(24), Piotr Dollár(18), Trevor Darrell(9), Jitendra Malik(7), Bharath Hariharan(7), Jeff Donahue(6), Tsung-Yi Lin(6), Georgia Gkioxari(5), Shaoqing Ren(4), Priya Goyal(4), Haoqi Fan(4), Serge Belongie(3), Saining Xie(3), Yangqing Jia(3), Sergey Karayev(3), Hanzi Mao(3), Pablo Arbeláez(3), Jian Sun(2), Yuxin Wu(2), Evan Shelhamer(2)