Ajaykumar Unagar

Computer Vision and Pattern Recognition · 2021

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

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it

Whom Ajaykumar Unagar trusts overall

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

1. Alex Kendall
2. Johannes L. Schönberger
3. Diederik P. Kingma
4. David G. Lowe
5. Ondřej Chum
6. Torsten Sattler
7. Jiri Matas
8. Relja Arandjelovi'c
9. Daniel DeTone
10. Geoffrey E. Hinton

Papers from Ajaykumar Unagar's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Distinctive Image Features from Scale-Invariant Keypoints
5. ImageNet: A large-scale hierarchical image database
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Going deeper with convolutions
9. Gradient-based learning applied to document recognition
10. Attention is All you Need (Neural Information Processing Systems)

Their papers

• Back to the Feature: Learning Robust Camera Localization from Pixels to Pose (2021) — 331 citations