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Computer Science

D-Index
82
Citations
409410
World Ranking
919
National Ranking
498

Overview

Ross Girshick is a researcher affiliated with Vercept in the United States, specializing in the field of Computer Science. Their work primarily focuses on Computer Vision and Pattern Recognition, with 36 publications in this subfield out of a total of 62 in Computer Science. Other areas of research include Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Signal Processing, and Surgery.

The researcher has contributed extensively to topics such as Advanced Neural Network Applications, Domain Adaptation and Few-Shot Learning, and Multimodal Machine Learning Applications. Additional areas of study cover Advanced Image and Video Retrieval Techniques, Machine Learning and Data Classification, Human Pose and Action Recognition, and Speech Recognition and Synthesis.

Ross Girshick has published papers in various venues, with the majority appearing in arXiv (Cornell University), where they have 21 publications. Other frequent publication venues include the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) with 2 papers, Scientific Reports, and Leibniz-Zentrum für Informatik (Schloss Dagstuhl).

Recent papers authored or co-authored by Ross Girshick include:

  • Improved Baselines with Momentum Contrastive Learning, 2020, arXiv (Cornell University)
  • RU-AI: A Large Multimodal Dataset for Machine Generated Content Detection, 2024, Leibniz-Zentrum für Informatik (Schloss Dagstuhl)
  • Segment Anything, 2023, arXiv (Cornell University)
  • Early Convolutions Help Transformers See Better, 2021, arXiv (Cornell University)
  • SAM 2: Segment Anything in Images and Videos, 2024, arXiv (Cornell University)

The researcher frequently collaborates with several co-authors, including Piotr Dollár, Kaiming He, Yanghao Li, Saining Xie, and Mannat Singh.

Best Publications

  • Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

    Shaoqing Ren;Kaiming He;Ross Girshick;Jian Sun

  • You Only Look Once: Unified, Real-Time Object Detection

    Joseph Redmon;Santosh Divvala;Ross Girshick;Ali Farhadi

  • Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

    Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

  • Fast R-CNN

    Ross Girshick

  • Feature Pyramid Networks for Object Detection

    Tsung-Yi Lin;Piotr Dollar;Ross Girshick;Kaiming He

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

  • Caffe: Convolutional Architecture for Fast Feature Embedding

    Yangqing Jia;Evan Shelhamer;Jeff Donahue;Sergey Karayev

  • Object Detection with Discriminatively Trained Part-Based Models

    P F Felzenszwalb;R B Girshick;D McAllester;D Ramanan

  • Momentum Contrast for Unsupervised Visual Representation Learning

    Kaiming He;Haoqi Fan;Yuxin Wu;Saining Xie

  • Aggregated Residual Transformations for Deep Neural Networks

    Saining Xie;Ross Girshick;Piotr Dollar;Zhuowen Tu

  • Non-local Neural Networks

    Xiaolong Wang;Ross Girshick;Abhinav Gupta;Kaiming He

  • Focal Loss for Dense Object Detection

    Tsung-Yi Lin;Priya Goyal;Ross Girshick;Kaiming He

  • Mask R-CNN

    Kaiming He;Georgia Gkioxari;Piotr Dollar;Ross Girshick

  • Region-Based Convolutional Networks for Accurate Object Detection and Segmentation

    Ross Girshick;Jeff Donahue;Trevor Darrell;Jitendra Malik

  • Microsoft COCO: Common Objects in Context

    Tsung-Yi Lin;Michael Maire;Serge Belongie;Lubomir Bourdev

  • Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour

    Priya Goyal;Piotr Dollár;Ross B. Girshick;Pieter Noordhuis

  • Training Region-Based Object Detectors with Online Hard Example Mining

    Abhinav Shrivastava;Abhinav Gupta;Ross Girshick

  • Improved Baselines with Momentum Contrastive Learning

    Xinlei Chen;Haoqi Fan;Ross B. Girshick;Kaiming He

  • Unsupervised deep embedding for clustering analysis

    Junyuan Xie;Ross Girshick;Ali Farhadi

Frequent Co-Authors

Kaiming He
Kaiming He Facebook (United States)
Piotr Dollar
Piotr Dollar Facebook (United States)
Jitendra Malik
Jitendra Malik University of California, Berkeley
Trevor Darrell
Trevor Darrell University of California, Berkeley
Pablo Arbeláez
Pablo Arbeláez Universidad de Los Andes
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)
Laurens van der Maaten
Laurens van der Maaten Facebook (United States)
Jeff Donahue
Jeff Donahue DeepMind (United Kingdom)
Saurabh Gupta
Saurabh Gupta University of Illinois at Urbana-Champaign
Ali Farhadi
Ali Farhadi University of Washington

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