Adam Jacobson

Computer Vision and Pattern Recognition · 2014–2017

A researcher in the Science corpus: 3 papers; trusts 236 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 64 citations into it; #9,966 of 21,575 by trust here, #11,083 by citations
• Aerospace Engineering — 22 citations into it; #2,114 of 6,421 by trust here, #2,367 by citations
• Artificial Intelligence — 19 citations into it

Whom Adam Jacobson trusts overall

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

1. David G. Lowe
2. Alex Krizhevsky
3. Ross B. Girshick
4. Geoffrey E. Hinton
5. Jeff Donahue
6. Kaiming He
7. Mark Joseph Cummins
8. Ilya Sutskever
9. Yann LeCun
10. Yangqing Jia

Who trusts Adam Jacobson overall

1. Niko Sünderhauf
2. Lei Tai
3. Ingmar Kanitscheider

Papers from Adam Jacobson's perspective

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

Their papers

• Place Recognition with ConvNet Landmarks: Viewpoint-Robust, Condition-Robust, Training-Free (2015) — 409 citations
• Convolutional Neural Network-based Place Recognition (2014) — 276 citations
• Deep learning features at scale for visual place recognition (2017) — 359 citations