Petr Gronát

Computer Vision and Pattern Recognition · 2013–2015

A researcher in the Science corpus: 2 papers; trusts 481 researchers and is trusted by 257 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 119 citations into it; #2,453 of 21,575 by trust here, #4,438 by citations
• Aerospace Engineering — 46 citations into it; #586 of 6,421 by trust here, #604 by citations
• Artificial Intelligence — 23 citations into it
• Information Retrieval & Search — 16 citations into it
• Media Technology — 15 citations into it; #461 of 3,621 by trust here, #278 by citations
• Representation & Self-Supervised Learning — 13 citations into it

Whom Petr Gronát trusts overall

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

1. David G. Lowe
2. Josef Sivic
3. Andrew Zisserman
4. Alex Krizhevsky
5. Geoffrey E. Hinton
6. Herv'e J'egou
7. Kaiming He
8. Karen Simonyan
9. Ondřej Chum
10. Ross B. Girshick

Who trusts Petr Gronát overall

1. Hyo Jin Kim
2. Antoine Miech
3. Filip Radenovic
4. Relja Arandjelovi'c
5. Giorgos Tolias
6. Lei Tai
7. Torsten Sattler
8. Josef Sivic
9. Paul-Edouard Sarlin
10. Albert Gordo

Papers from Petr Gronát's perspective

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

Their papers

• NetVLAD: CNN Architecture for Weakly Supervised Place Recognition (2015) — 3,219 citations
• Learning and Calibrating Per-Location Classifiers for Visual Place Recognition (2013) — 112 citations