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Ross Girshick

  1. You Only Look Once: Unified, Real-Time Object Detection
    2015/06/08 by Joseph Redmon, Redmon, Joseph, Santosh Divvala +5 · 4 voices · 443 citations
    #cs.CV
  2. Mask R-CNN
    2017/03/20 by Kaiming He, He, Kaiming, Georgia Gkioxari +5 · 2 voices · 386 citations
    Computer Science · #Advanced Neural Network Applications #Human Pose and Action Recognition #Face recognition and analysis
  3. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal\n Networks
    2015/06/04 by Shaoqing Ren, Kaiming He, Ren, Shaoqing +5 · 1074 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  4. Masked Autoencoders Are Scalable Vision Learners
    2021/11/11 by Kaiming He, Xinlei Chen, He, Kaiming +9 · 4 voices · 776 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #cs.CV
  5. Micrograph segmentations for DDEVD
    2023/04/05 by Alexander M. Kirillov, Kirillov, Alexander, Eric Mintun +21 · 1194 citations
    Computer Science · Medicine · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Visual Attention and Saliency Detection
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
    2016/06/06 by Shaoqing Ren, Kaiming He, Ross Girshick +1 · 648 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Video Surveillance and Tracking Methods
  7. Momentum Contrast for Unsupervised Visual Representation Learning
    2019/11/13 by Kaiming He, He, Kaiming, Haoqi Fan +7 · 510 citations
    Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Advanced Neural Network Applications
  8. Segment Anything
    2023/10/01 by Alexander M. Kirillov, Eric Mintun, Nikhila Ravi +9 · 784 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Visual Attention and Saliency Detection
  9. Feature Pyramid Networks for Object Detection
    2016/12/09 by Tsung-Yi Lin, Piotr Dollár, Lin, Tsung-Yi +9 · 314 citations
    Computer Science · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Domain Adaptation and Few-Shot Learning
  10. Momentum Contrast for Unsupervised Visual Representation Learning
    2020/06/01 by Kaiming He, Haoqi Fan, Yuxin Wu +2 · 488 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications
  11. Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour
    2017/06/08 by Priya Goyal, Piotr Dollár, Goyal, Priya +15 · 412 citations
    Computer Science · #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning #AI in cancer detection
  12. SAM 2: Segment Anything in Images and Videos
    2024/08/01 by Nikhila Ravi, Valentin Gabeur, Ravi, Nikhila +33 · 676 citations
    Computer Science · #Generative Adversarial Networks and Image Synthesis
  13. CLEVR: A Diagnostic Dataset for Compositional Language and Elementary\n Visual Reasoning
    2016/12/20 by Justin Johnson, Johnson, Justin, Bharath Hariharan +10 · 159 citations
    Computer Science · #Multimodal Machine Learning Applications
  14. Rich feature hierarchies for accurate object detection and semantic\n segmentation
    2013/11/11 by Ross Girshick, Girshick, Ross, Jeff Donahue +5 · 158 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  15. Caffe: Convolutional Architecture for Fast Feature Embedding
    2014/06/20 by Yangqing Jia, Jia, Yangqing, Evan Shelhamer +13 · 239 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Video Surveillance and Tracking Methods
  16. Exploring Plain Vision Transformer Backbones for Object Detection
    2022/03/30 by Yanghao Li, Li, Yanghao, Hanzi Mao +5 · 1 voice · 59 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #cs.CV
  17. Improved Baselines with Momentum Contrastive Learning
    2020/03/09 by Xinlei Chen, Chen, Xinlei, Haoqi Fan +5 · 219 citations
    Computer Science · #Multimodal Machine Learning Applications #Speech Recognition and Synthesis #Domain Adaptation and Few-Shot Learning
  18. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
    2024/09/25 by Matt Deitke, Deitke, Matt, Christopher Clark +100 · 4 voices · 150 citations
    Computer Science · #Semantic Web and Ontologies #Speech and dialogue systems
  19. LVIS: A Dataset for Large Vocabulary Instance Segmentation
    2019/08/08 by Agrim Gupta, Gupta, Agrim, Piotr Dollár +3 · 86 citations
    Computer Science · #Advanced Neural Network Applications #Multimodal Machine Learning Applications #Advanced Image and Video Retrieval Techniques
  20. Unsupervised Deep Embedding for Clustering Analysis
    2015/11/19 by Junyuan Xie, Xie, Junyuan, Ross Girshick +3 · 48 citations
    Computer Science · #Advanced Clustering Algorithms Research #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Retrieval and Classification Techniques #Machine Learning (cs.LG)
  21. Detecting and Recognizing Human-Object Interactions
    2017/04/24 by Georgia Gkioxari, Ross Girshick, Gkioxari, Georgia +5 · 16 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  22. Visual Storytelling
    2016/04/13 by Ting-Hao, Huang, Francis Ferraro +27 · 14 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Video Analysis and Summarization
  23. Exploring Randomly Wired Neural Networks for Image Recognition
    2019/04/02 by Saining Xie, Xie, Saining, Alexander Kirillov +5 · 1 voice · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.CV #cs.LG
  24. PHYRE: A New Benchmark for Physical Reasoning
    2019/08/15 by Anton Bakhtin, Laurens van der Maaten, Bakhtin, Anton +7 · 12 citations
    Computer Science · #Machine Learning and Data Classification #Machine Learning and Algorithms #Reinforcement Learning in Robotics
  25. Hypercolumns for Object Segmentation and Fine-grained Localization
    2014/11/21 by Bharath Hariharan, Hariharan, Bharath, Pablo Arbeláez +5 · 8 citations
    Computer Science · Engineering · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Robotics and Sensor-Based Localization
  26. Deep3D: Fully Automatic 2D-to-3D Video Conversion with Deep Convolutional Neural Networks
    2016/04/13 by Junyuan Xie, Ross Girshick, Xie, Junyuan +3 · 6 citations
    Computer Science · #Advanced Image Processing Techniques #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Image Enhancement Techniques
  27. Analyzing the Performance of Multilayer Neural Networks for Object\n Recognition
    2014/07/07 by Pulkit Agrawal, Agrawal, Pulkit, Ross Girshick +3 · 6 citations
    Computer Science · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Neural Networks and Applications #Neural and Evolutionary Computing (cs.NE) #Video Surveillance and Tracking Methods
  28. Learning Rich Features from RGB-D Images for Object Detection and Segmentation
    2014/07/22 by Saurabh Gupta, Gupta, Saurabh, Ross Girshick +5 · 3 citations
    Computer Science · Engineering · #Advanced Neural Network Applications #Advanced Image and Video Retrieval Techniques #Robotics and Sensor-Based Localization
  29. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and\n Recurrent Neural Networks
    2015/12/13 by Sean Bell, C. Lawrence Zitnick, Bell, Sean +5 · 4 citations
    Computer Science · Medicine · #Advanced Image and Video Retrieval Techniques #Advanced Neural Network Applications #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Multimodal Machine Learning Applications
  30. TensorMask: A Foundation for Dense Object Segmentation
    2019/03/28 by Xinlei Chen, Chen, Xinlei, Ross Girshick +5 · 4 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences
  31. The effectiveness of MAE pre-pretraining for billion-scale pretraining
    2023/03/23 by Mannat Singh, Singh, Mannat, Quentin Duval +21 · 5 citations
    Computer Science · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Multimodal Machine Learning Applications
  32. Data Distillation: Towards Omni-Supervised Learning
    2017/12/12 by Ilija Radosavovic, Radosavovic, Ilija, Piotr Dollár +7 · 4 citations
    Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  33. Are Labels Necessary for Neural Architecture Search?
    2020/03/26 by Chenxi Liu, Liu, Chenxi, Piotr Dollár +9 · 2 citations
    Computer Science · #Advanced Neural Network Applications #Adversarial Robustness in Machine Learning #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Data Classification
  34. Contextual Action Recognition with R*CNN
    2015/05/05 by Georgia Gkioxari, Gkioxari, Georgia, Ross Girshick +3 · 1 citation
    Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Gait Recognition and Analysis #Human Pose and Action Recognition #Multimodal Machine Learning Applications
  35. A Multigrid Method for Efficiently Training Video Models
    2019/12/02 by Chao-Yuan Wu, Wu, Chao-Yuan, Ross Girshick +7 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Advanced Vision and Imaging #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Human Pose and Action Recognition
  36. Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details
    2021/02/01 by Achal Dave, Piotr Dollár, Dave, Achal +8 · 1 citation
    Computer Science · #Advanced Neural Network Applications #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning and Data Classification