Grigory Antipov
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 101 researchers and is trusted by 36 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 25 citations into it; #5,260 of 21,575 by trust here, #9,722 by citations
- Generative Models — 8 citations into it; #516 of 1,956 by trust here, #1,163 by citations
- Artificial Intelligence — 6 citations into it
- Optimization & Training — 5 citations into it
Whom Grigory Antipov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Karen Simonyan
- Yurii E. Nesterov
- Kaiming He
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Oriol Vinyals
Who trusts Grigory Antipov overall
- Arvid Lundervold
- Yongjun Hong
- Andreas Rössler
- Dana Pessach
- Sid Ghoshal
- Minhan Kim
- Yuval Alaluf
- Abdul Jabbar
- Hamed Alqahtani
- Sen Jia
Papers from Grigory Antipov's perspective
Ordered by how strongly the researchers Grigory Antipov 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Face aging with conditional generative adversarial networks (2017) — 533 citations
- Minimalistic CNN-based ensemble model for gender prediction from face images (2016) — 130 citations