Gavriel State

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 3 papers; trusts 20 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Gavriel State trusts

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  6. Vladlen Koltun (in Computer Vision and Pattern Recognition)
  7. Jitendra Malik (in Computer Vision and Pattern Recognition)
  8. Trevor Darrell (in Computer Vision and Pattern Recognition)
  9. Li Fei-Fei (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Who trusts Gavriel State

  1. Gabriel B. Margolis (in Artificial Intelligence)

Papers from Gavriel State's perspective

Ordered by how strongly the researchers Gavriel State trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet: A large-scale hierarchical image database
  3. Microsoft COCO: Common Objects in Context
  4. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Proximal Policy Optimization Algorithms (arXiv.org)
  7. MuJoCo: A physics engine for model-based control
  8. Gradient-based learning applied to document recognition
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Are we ready for autonomous driving? The KITTI vision benchmark suite

Their papers