Gergely Szilvasy

Computer Vision and Pattern Recognition · 2024

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Gergely Szilvasy trusts

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

  1. Moses Charikar (in Computer Vision and Pattern Recognition)
  2. Herv'e J'egou (in Computer Vision and Pattern Recognition)

Papers from Gergely Szilvasy's perspective

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

  1. Going deeper with convolutions
  2. Product Quantization for Nearest Neighbor Search
  3. ImageNet classification with deep convolutional neural networks
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Similarity estimation techniques from rounding algorithms
  6. Locality-sensitive hashing scheme based on p-stable distributions
  7. Gradient-based learning applied to document recognition
  8. ImageNet: A large-scale hierarchical image database
  9. Long Short-Term Memory
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers