Dmitrij Sesok

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 258 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 25 citations into it
• Natural Language Processing — 19 citations into it
• Multimodal Learning — 17 citations into it
• Evaluation & Benchmarks — 8 citations into it
• Model Architectures — 5 citations into it

Whom Dmitrij Sesok trusts overall

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

1. Kaiming He
2. Karen Simonyan
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Alex Krizhevsky
7. Andrew Zisserman
8. Diederik P. Kingma
9. Ilya Sutskever
10. Dzmitry Bahdanau

Papers from Dmitrij Sesok's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Attention is All you Need (Neural Information Processing Systems)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
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

• Text Augmentation Using BERT for Image Captioning (2020) — 37 citations