Yury Malkov
Computer Vision and Pattern Recognition · 2011–2019
A researcher in the Science corpus: 5 papers; trusts 176 researchers and is trusted by 47 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #4,362 of 21,575 by trust here, #5,941 by citations
- Information Retrieval & Search — 49 citations into it; #130 of 1,022 by trust here, #242 by citations
- Algorithms & Complexity — 38 citations into it
- Signal Processing — 26 citations into it; #655 of 7,572 by trust here, #933 by citations
- Artificial Intelligence — 25 citations into it; #16,201 of 35,345 by trust here, #19,873 by citations
- Computer Networks and Communications — 13 citations into it; #1,036 of 9,886 by trust here, #1,826 by citations
- 3D Vision & Pose — 11 citations into it
- Computational Theory and Mathematics — 11 citations into it
Whom Yury Malkov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Franz Aurenhammer
- Olivier Beaumont
- Yu A. Malkov
- Jon M. Kleinberg
- Sunil Arya
- Gonzalo Navarro
- Leonid Boytsov
- Edgar Chávez
- David G. Lowe
- Alexander Ponomarenko
Who trusts Yury Malkov overall
- Alexander Ponomarenko
- Patrick Lewis
- Pasquale Minervini
- Cong Fu
- Jimmy J. Lin
- Sheng-Chieh Lin
- Xueguang Ma
- Bilegsaikhan Naidan
- Zichang Liu
- Ikuya Yamada
Papers from Yury Malkov's perspective
Ordered by how strongly the researchers Yury Malkov trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
Their papers
- Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs (2016) — 2,486 citations
- Approximate nearest neighbor algorithm based on navigable small world graphs (2014) — 465 citations
- Learnable Triangulation of Human Pose (2019) — 435 citations
- Scalable Distributed Algorithm for Approximate Nearest Neighbor Search Problem in High Dimensional General Metric Spaces (2012) — 55 citations
- Approximate Nearest Neighbor Search Small World Approach (2011) — 26 citations