Pratibha Rathi

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 145 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 17 citations into it

Whom Pratibha Rathi trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Joseph Redmon
5. Shaoqing Ren
6. Geoffrey E. Hinton
7. Christian Szegedy
8. Navneet Dalal
9. Ilya Sutskever
10. C. Kuo

Papers from Pratibha Rathi's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Going deeper with convolutions
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Gradient-based learning applied to document recognition
7. Long Short-Term Memory
8. Attention is All you Need (Neural Information Processing Systems)
9. ImageNet Large Scale Visual Recognition Challenge
10. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation

Their papers

• YOLO v3-Tiny: Object Detection and Recognition using one stage improved model (2020) — 481 citations