Abhijith Punnappurath

Computer Vision and Pattern Recognition · 2015

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 22 citations into it

Whom Abhijith Punnappurath trusts overall

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

1. Timo Ahonen
2. Volker Blanz
3. Xiangxin Zhu
4. Xiaoyang Tan
5. Lior Wolf
6. Athinodoros S. Georghiades
7. Jun Liu
8. Kuang-chih Lee
9. Yu-Wing Tai
10. Gary B. Huang

Papers from Abhijith Punnappurath's perspective

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

Their papers

• Face Recognition Across Non-Uniform Motion Blur, Illumination, and Pose (2015) — 68 citations