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Ross Girshick

60 papers · 2013–2025 · 9 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (9) πŸ—ΊοΈ Taxonomy Completionist (85) 🌈 Renaissance Researcher (5) 🐝 Cross-Pollinator (14) πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌟 Keyword Trendsetter Combo (4) 🏠 Conference Loyalist (34) πŸ”¬ Deep Specialist (22) 🧬 Topic Evolution 🌱 Topic Pioneer πŸ† Keyword Champion (2) πŸ‘₯ Mega-Team (50) 🀝 Dynamic Duo (24) πŸ—ƒοΈ Keyword Collector (200) ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ”₯ Unstoppable (13) πŸš€ Conference Pioneer πŸ’Ž Century Club (60) ❓ The Questioner

Conferences

CVPR (34) ICCV (13) ECCV (3) ICML (3) NIPS (3) CORL (1) ICLR (1) INTERSPEECH (1) NAACL (1)

Top co-authors

Kaiming He (24) Piotr DollΓ‘r (22) Bharath Hariharan (8) Jitendra Malik (8) Trevor Darrell (7) Georgia Gkioxari (6) Alexander Kirillov (6) Laurens van der Maaten (6) Christoph Feichtenhofer (5) Saining Xie (5)

Keywords

object detection (20) convolutional neural network (14) semantic segmentation (9) transfer learning (8) instance segmentation (7) image classification (6) pose estimation (5) self-supervised learning (4) image segmentation (4) feature extraction (4) deformable part model (4) panoptic segmentation (3) unsupervised learning (3) action recognition (3) weakly supervised learning (3) visual recognition (3) representation learning (3) visual question answering (3) image captioning (2) model pretraining (2)

Papers

SAM 2: Segment Anything in Images and Videos ICLR 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models CVPR 2025
PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators CORL 2024
Segment Anything ICCV 2023
The Effectiveness of MAE Pre-Pretraining for Billion-Scale Pretraining ICCV 2023
Revisiting Weakly Supervised Pre-Training of Visual Perception Models CVPR 2022
Masked Autoencoders Are Scalable Vision Learners CVPR 2022
Exploring Plain Vision Transformer Backbones for Object Detection ECCV 2022
Boundary IoU: Improving Object-Centric Image Segmentation Evaluation CVPR 2021
A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning CVPR 2021
Fast and Accurate Model Scaling CVPR 2021
Are Labels Necessary for Neural Architecture Search? ECCV 2020
Large Scale Weakly and Semi-Supervised Learning for Low-Resource Video ASR INTERSPEECH 2020
A Multigrid Method for Efficiently Training Video Models CVPR 2020
PointRend: Image Segmentation As Rendering CVPR 2020
Momentum Contrast for Unsupervised Visual Representation Learning CVPR 2020
Designing Network Design Spaces CVPR 2020
TensorMask: A Foundation for Dense Object Segmentation ICCV 2019
Long-Term Feature Banks for Detailed Video Understanding CVPR 2019
LVIS: A Dataset for Large Vocabulary Instance Segmentation CVPR 2019
Panoptic Feature Pyramid Networks CVPR 2019
Exploring Randomly Wired Neural Networks for Image Recognition ICCV 2019
Panoptic Segmentation CVPR 2019
PHYRE: A New Benchmark for Physical Reasoning NIPS 2019
Rethinking ImageNet Pre-Training ICCV 2019
Learning by Asking Questions CVPR 2018
Data Distillation: Towards Omni-Supervised Learning CVPR 2018
Learning to Segment Every Thing CVPR 2018
Low-Shot Learning From Imaginary Data CVPR 2018
Non-Local Neural Networks CVPR 2018
Detecting and Recognizing Human-Object Interactions CVPR 2018
Exploring the Limits of Weakly Supervised Pretraining ECCV 2018
Mask R-CNN ICCV 2017
Aggregated Residual Transformations for Deep Neural Networks CVPR 2017
Feature Pyramid Networks for Object Detection CVPR 2017
Learning Features by Watching Objects Move CVPR 2017
CLEVR: A Diagnostic Dataset for Compositional Language and Elementary Visual Reasoning CVPR 2017
Focal Loss for Dense Object Detection ICCV 2017
Inferring and Executing Programs for Visual Reasoning ICCV 2017
Low-Shot Visual Recognition by Shrinking and Hallucinating Features ICCV 2017
Training Region-Based Object Detectors With Online Hard Example Mining CVPR 2016
Unsupervised Deep Embedding for Clustering Analysis ICML 2016
Visual Storytelling NAACL 2016
Seeing Through the Human Reporting Bias: Visual Classifiers From Noisy Human-Centric Labels CVPR 2016
Inside-Outside Net: Detecting Objects in Context With Skip Pooling and Recurrent Neural Networks CVPR 2016
You Only Look Once: Unified, Real-Time Object Detection CVPR 2016
Aligning 3D Models to RGB-D Images of Cluttered Scenes CVPR 2015
Hypercolumns for Object Segmentation and Fine-Grained Localization CVPR 2015
Actions and Attributes From Wholes and Parts ICCV 2015
Contextual Action Recognition With R*CNN ICCV 2015
Fast R-CNN ICCV 2015
Deformable Part Models are Convolutional Neural Networks CVPR 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks NIPS 2015
LSDA: Large Scale Detection through Adaptation NIPS 2014
On learning to localize objects with minimal supervision ICML 2014
Understanding Objects in Detail with Fine-Grained Attributes CVPR 2014
Using k-Poselets for Detecting People and Localizing Their Keypoints CVPR 2014
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation CVPR 2014
Training Deformable Part Models with Decorrelated Features ICCV 2013
Discriminatively Activated Sparselets ICML 2013