Artsiom Ablavatski

Computer Vision and Pattern Recognition · 2017–2019

A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 15 citations into it; #18,966 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 10 citations into it
• Model Architectures — 6 citations into it
• Optimization & Training — 5 citations into it

Whom Artsiom Ablavatski trusts overall

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

1. Ronald J. Williams
2. Diederik P. Kingma
3. Yoshua Bengio
4. Sergey Ioffe
5. Geoffrey E. Hinton
6. Razvan Pascanu
7. Ian J. Goodfellow
8. Jimmy Ba
9. Volodymyr Mnih
10. Christian Szegedy

Who trusts Artsiom Ablavatski overall

1. Yuliang Liu
2. Nantheera Anantrasirichai
3. Lianwen Jin
4. Valentin Bazarevsky
5. Fan Zhang

Papers from Artsiom Ablavatski's perspective

Ordered by how strongly the researchers Artsiom Ablavatski 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. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Attention is All you Need (Neural Information Processing Systems)
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. ImageNet: A large-scale hierarchical image database
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Enriched Deep Recurrent Visual Attention Model for Multiple Object Recognition (2017) — 39 citations
• Real-time Facial Surface Geometry from Monocular Video on Mobile GPUs (2019) — 334 citations