Julian F. P. Kooij

Computer Vision and Pattern Recognition · 2014–2022

A researcher in the Science corpus: 3 papers; trusts 51 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 34 citations into it; #12,515 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 18 citations into it; #20,068 of 35,345 by trust here, #16,771 by citations
• Evaluation & Benchmarks — 7 citations into it
• Model Architectures — 6 citations into it; #1,868 of 2,278 by trust here, #2,037 by citations

Whom Julian F. P. Kooij trusts overall

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

1. Tom Minka
2. Heiko Hirschmüller
3. J. Ross Quinlan
4. Navneet Dalal
5. Diederik P. Kingma
6. Dariu M. Gavrila
7. Markus Enzweiler
8. Xavier Boyen
9. Yann LeCun
10. Ben Benfold

Who trusts Julian F. P. Kooij overall

1. Yu Kong
2. Amir Rasouli
3. Takuma Yagi
4. Junwei Liang
5. Alexandre Alahi
6. Andrey Rudenko
7. Vinícius G. Costa
8. Yun Raymond Fu
9. Carl Vondrick
10. John K. Tsotsos

Papers from Julian F. P. Kooij's perspective

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

Their papers

• Context-Based Pedestrian Path Prediction (2014) — 298 citations
• Multi-class Road User Detection with 3+1D Radar in the View-of-Delft Dataset (2022) — 330 citations
• End-to-End Learning of Decision Trees and Forests (2019) — 66 citations