Roy Orfaig

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 104 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 38 citations into it
• Aerospace Engineering — 9 citations into it

Whom Roy Orfaig trusts overall

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

1. Emmanouil Z. Psarakis
2. Kaiming He
3. Jianbo Shi
4. Ross B. Girshick
5. Alex Bewley
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Anton Milan
9. Shaoqing Ren
10. Xingyi Zhou

Who trusts Roy Orfaig overall

1. Gerard Maggiolino

Papers from Roy Orfaig's perspective

Ordered by how strongly the researchers Roy Orfaig 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 classification with deep convolutional neural networks
3. ImageNet: A large-scale hierarchical image database
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Gradient-based learning applied to document recognition
10. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Their papers

• BoT-SORT: Robust Associations Multi-Pedestrian Tracking (2022) — 942 citations