Felix Järemo Lawin

Computer Vision and Pattern Recognition · 2017–2020

A researcher in the Science corpus: 2 papers; trusts 43 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 71 citations into it
• Artificial Intelligence — 14 citations into it

Whom Felix Järemo Lawin trusts overall

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

1. Karen Simonyan
2. Andrew Zisserman
3. Richard Szeliski
4. Andrea Vedaldi
5. Jia Deng
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Kaiming He
9. Ross B. Girshick
10. Evan Shelhamer

Who trusts Felix Järemo Lawin overall

1. Tiago Cortinhal
2. Alexandre Boulch
3. Yulan Guo
4. Ying Li
5. George Tzelepis

Papers from Felix Järemo Lawin's perspective

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

Their papers

• The Eighth Visual Object Tracking VOT2020 Challenge Results (2020) — 345 citations
• Deep Projective 3D Semantic Segmentation (2017) — 361 citations