Petra Bevandic

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 180 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 33 citations into it; #10,595 of 21,575 by trust here, #14,151 by citations
• Artificial Intelligence — 20 citations into it
• Model Architectures — 10 citations into it
• Optimization & Training — 6 citations into it

Whom Petra Bevandic trusts overall

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

1. Kaiming He
2. Diederik P. Kingma
3. Geoffrey E. Hinton
4. Alex Krizhevsky
5. Ilya Loshchilov
6. Sergey Ioffe
7. Yann LeCun
8. Fisher Yu
9. Ross B. Girshick
10. Christian Szegedy

Who trusts Petra Bevandic overall

1. Huihui Pan
2. Yuanduo Hong
3. Kailun Yang
4. Thomas Verelst

Papers from Petra Bevandic's perspective

Ordered by how strongly the researchers Petra Bevandic 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. ImageNet Large Scale Visual Recognition Challenge
6. ImageNet: A large-scale hierarchical image database
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• In Defense of Pre-Trained ImageNet Architectures for Real-Time Semantic Segmentation of Road-Driving Images (2019) — 393 citations