Matej Grcic

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 211 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 46 citations into it; #17,696 of 21,575 by trust here, #19,310 by citations
• Generative Models — 40 citations into it
• Artificial Intelligence — 31 citations into it
• Probabilistic & Bayesian Methods — 12 citations into it
• Signal Processing — 10 citations into it
• Model Architectures — 9 citations into it
• Statistical and Nonlinear Physics — 8 citations into it

Whom Matej Grcic trusts overall

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

1. Diederik P. Kingma
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Yoshua Bengio
5. Yann LeCun
6. Kaiming He
7. Laurent Dinh
8. Aäron van den Oord
9. Danilo Jimenez Rezende
10. Ilya Sutskever

Who trusts Matej Grcic overall

1. Dan Friedman
2. Dongjun Kim
3. Siyu Wang
4. Adji Bousso Dieng
5. Jianfei Chen
6. Seungjae Shin

Papers from Matej Grcic's perspective

Ordered by how strongly the researchers Matej Grcic 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Attention is All you Need (Neural Information Processing Systems)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Learning Multiple Layers of Features from Tiny Images
9. ImageNet Large Scale Visual Recognition Challenge
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Densely connected normalizing flows (2021) — 66 citations