Braden Hurl

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 37 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 13 citations into it; #18,085 of 21,575 by trust here, #19,766 by citations
• Evaluation & Benchmarks — 9 citations into it; #2,522 of 3,147 by trust here, #3,004 by citations

Whom Braden Hurl trusts overall

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

1. Andreas Geiger
2. Alex Krizhevsky
3. Kaiming He
4. Geoffrey E. Hinton
5. Germán Ros
6. Stephan R. Richter
7. Ilya Sutskever
8. Alexey Dosovitskiy
9. Philip Lenz
10. X. Zhang

Who trusts Braden Hurl overall

1. Sergey I. Nikolenko
2. Peng Su
3. Kun Wang
4. Mike Roberts

Papers from Braden Hurl's perspective

Ordered by how strongly the researchers Braden Hurl 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet Large Scale Visual Recognition Challenge
8. Attention is All you Need (Neural Information Processing Systems)
9. Long Short-Term Memory
10. Going deeper with convolutions

Their papers

• Precise Synthetic Image and LiDAR (PreSIL) Dataset for Autonomous Vehicle Perception (2019) — 121 citations