Ian Endres
Computer Vision and Pattern Recognition · 2009–2014
A researcher in the Science corpus: 6 papers; trusts 586 researchers and is trusted by 5,722 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 87 citations into it; #352 of 21,575 by trust here, #1,392 by citations
- Artificial Intelligence — 21 citations into it; #1,032 of 35,345 by trust here, #2,271 by citations
- Evaluation & Benchmarks — 16 citations into it
- Aerospace Engineering — 10 citations into it
Whom Ian Endres trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Derek Hoiem
- Andrew Zisserman
- Alexei A. Efros
- Pedro F. Felzenszwalb
- Jitendra Malik
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Jianguo Zhang
- David G. Lowe
Who trusts Ian Endres overall
- Kristen Grauman
- Yong Jae Lee
- Luc Van Gool
- Jordi Pont-Tuset
- Wenguan Wang
- Jitendra Malik
- Abhinav Kumar Gupta
- Ross B. Girshick
- Trevor Darrell
- Wanli Ouyang
Papers from Ian Endres's perspective
Ordered by how strongly the researchers Ian Endres trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Describing objects by their attributes (2009) — 2,167 citations
- Category Independent Object Proposals (2010) — 513 citations
- Category-Independent Object Proposals with Diverse Ranking (2014) — 239 citations
- Learning Collections of Part Models for Object Recognition (2013)
- The benefits and challenges of collecting richer object annotations (2010) — 46 citations
- A latent model of discriminative aspect (2009) — 82 citations