Vasili Ramanishka

Computer Vision and Pattern Recognition · 2015–2018

A researcher in the Science corpus: 3 papers; trusts 447 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #21,019 of 21,575 by trust here, #11,498 by citations
• Artificial Intelligence — 41 citations into it
• Natural Language Processing — 25 citations into it
• Multimodal Learning — 22 citations into it; #1,164 of 1,211 by trust here, #1,033 by citations
• Evaluation & Benchmarks — 18 citations into it
• Model Architectures — 12 citations into it

Whom Vasili Ramanishka trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Ilya Sutskever
4. Alex Krizhevsky
5. Christian Szegedy
6. Karen Simonyan
7. Ross B. Girshick
8. Yoshua Bengio
9. Diederik P. Kingma
10. Yann LeCun

Who trusts Vasili Ramanishka overall

1. Vitali Petsiuk
2. Matteo Stefanini
3. Sarah Adel Bargal
4. Zheyan Shen
5. Victor Talpaert
6. Marcella Cornia
7. Wei Zhan
8. Abir Das
9. Kate Saenko
10. Lorenzo Baraldi

Papers from Vasili Ramanishka's perspective

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

Their papers

• A Multi-scale Multiple Instance Video Description Network (2015) — 64 citations
• Top-Down Visual Saliency Guided by Captions (2016) — 151 citations
• Toward Driving Scene Understanding: A Dataset for Learning Driver Behavior and Causal Reasoning (2018) — 339 citations