Soyeb Nagori

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 65 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it

Whom Soyeb Nagori trusts overall

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

1. Kaiming He
2. Ross B. Girshick
3. Tsung-Yi Lin
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Piotr Doll'ar
7. Yann LeCun
8. Yoshua Bengio
9. Shaoqing Ren
10. Karen Simonyan

Papers from Soyeb Nagori's perspective

Ordered by how strongly the researchers Soyeb Nagori 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. Attention is All you Need (Neural Information Processing Systems)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Microsoft COCO: Common Objects in Context
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet Large Scale Visual Recognition Challenge
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• YOLO-Pose: Enhancing YOLO for Multi Person Pose Estimation Using Object Keypoint Similarity Loss (2022) — 453 citations