Byong Mok Oh

Computer Vision and Pattern Recognition · 2001

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 25 citations into it; #14,796 of 21,575 by trust here, #12,689 by citations

Whom Byong Mok Oh trusts overall

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

1. Volker Blanz
2. Thomas Vetter
3. Josh Tenenbaum

Who trusts Byong Mok Oh overall

1. Tal Hassner
2. Sean Bell
3. Jiawen Chen
4. Darko Pavic
5. Sylvain Paris
6. Ronen Basri
7. Frédo Durand
8. Kavita Bala
9. Volker Schönefeld
10. Bryan C. Russell

Papers from Byong Mok Oh's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. A Morphable Model For The Synthesis Of 3D Faces
3. ImageNet classification with deep convolutional neural networks
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. ImageNet: A large-scale hierarchical image database
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. RECOVERING INTRINSIC SCENE CHARACTERISTICS FROM IMAGES

Their papers

• Image-based modeling and photo editing (2001) — 412 citations