Vassileios Balntas

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 250 researchers and is trusted by 22 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #5,881 of 21,575 by trust here, #7,852 by citations
• Aerospace Engineering — 28 citations into it
• Artificial Intelligence — 16 citations into it
• Representation & Self-Supervised Learning — 11 citations into it
• Media Technology — 6 citations into it; #1,446 of 3,621 by trust here, #1,423 by citations
• Model Architectures — 5 citations into it

Whom Vassileios Balntas trusts overall

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

1. David G. Lowe
2. Krystian Mikolajczyk
3. Simon A. J. Winder
4. Sergey Zagoruyko
5. Karen Simonyan
6. Cordelia Schmid
7. Matthew A. Brown
8. Andrew Zisserman
9. Geoffrey E. Hinton
10. Philipp Fischer

Who trusts Vassileios Balntas overall

1. Rahaf Aljundi
2. Yurun Tian
3. Jérôme Revaud
4. Paul-Edouard Sarlin
5. Anastasiia V. Mishchuk
6. Daniel DeTone
7. Mihai Dusmanu
8. Vincent Leroy
9. Jiayi Ma
10. Lukas Pfahler

Papers from Vassileios Balntas's perspective

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

Their papers

• HPatches: A Benchmark and Evaluation of Handcrafted and Learned Local Descriptors (2017) — 875 citations
• Learning local feature descriptors with triplets and shallow convolutional neural networks (2016) — 595 citations
• SOSNet: Second Order Similarity Regularization for Local Descriptor Learning (2019) — 385 citations