Joel A. Hesch

Computer Vision and Pattern Recognition · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 25 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 31 citations into it; #20,187 of 21,575 by trust here, #14,478 by citations
• Aerospace Engineering — 21 citations into it; #5,847 of 6,421 by trust here, #3,519 by citations

Whom Joel A. Hesch trusts overall

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

1. Adnan I. Ansar
2. David Nistér
3. Kostas Daniilidis
4. Torsten Sattler
5. Mark Joseph Cummins
6. David G. Lowe
7. Anastasios I. Mourikis
8. Josef Sivic

Who trusts Joel A. Hesch overall

1. Yinqiang Zheng
2. Yubin Kuang

Papers from Joel A. Hesch's perspective

Ordered by how strongly the researchers Joel A. Hesch trusts endorse each paper. Same corpus, a different order for every researcher.

1. Distinctive Image Features from Scale-Invariant Keypoints
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Video Google: a text retrieval approach to object matching in videos
5. Scalable Recognition with a Vocabulary Tree
6. ImageNet: A large-scale hierarchical image database
7. Gradient-based learning applied to document recognition
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Long Short-Term Memory

Their papers

• Get Out of My Lab: Large-scale, Real-Time Visual-Inertial Localization (2015) — 262 citations
• A Direct Least-Squares (DLS) method for PnP (2011) — 399 citations