Bojan Pepik

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 282 researchers and is trusted by 117 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 45 citations into it; #3,097 of 21,575 by trust here, #8,205 by citations
• Artificial Intelligence — 18 citations into it
• Aerospace Engineering — 7 citations into it; #1,642 of 6,421 by trust here, #1,853 by citations
• 3D Vision & Pose — 5 citations into it

Whom Bojan Pepik trusts overall

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

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

Who trusts Bojan Pepik overall

1. Francisco Massa
2. Gabriella Csurka
3. Bryan C. Russell
4. Sanja Fidler
5. Yu Xiang
6. Sergey Levine
7. Shiyu Huang
8. David Novotný
9. Mathieu Aubry
10. Matthias Müller

Papers from Bojan Pepik's perspective

Ordered by how strongly the researchers Bojan Pepik 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. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
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

• Teaching 3D geometry to deformable part models (2012) — 243 citations
• What Is Holding Back Convnets for Detection? (2015) — 66 citations