Taemin Kim

Computer Vision and Pattern Recognition · 2009

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 7 citations into it; #18,097 of 21,575 by trust here, #20,271 by citations

Whom Taemin Kim trusts overall

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

1. Philip H. S. Torr
2. David Nistér
3. Matthijs C. Dorst
4. Ondřej Chum
5. Jiri Matas
6. Rahul Raguram
7. Andrew Zisserman

Who trusts Taemin Kim overall

1. Dan Feldman

Papers from Taemin Kim's perspective

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

1. Multiple View Geometry in Computer Vision
2. MLESAC: A New Robust Estimator with Application to Estimating Image Geometry (Computer Vision and Image Understanding)
3. Distinctive Image Features from Scale-Invariant Keypoints
4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
5. ImageNet classification with deep convolutional neural networks
6. ImageNet: A large-scale hierarchical image database
7. ImageNet Large Scale Visual Recognition Challenge
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Performance Evaluation of RANSAC Family (2009) — 495 citations