Hoang-Hiep Vu

Computer Vision and Pattern Recognition · 2012

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 26 citations into it; #18,408 of 21,575 by trust here, #15,955 by citations

Whom Hoang-Hiep Vu trusts overall

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

1. Gabriel Taubin
2. Eric V. Denardo
3. S. M. Seitz
4. Yuri Boykov
5. Ruigang Yang
6. Noah Snavely
7. M. Kazhdan
8. Vladimir Kolmogorov
9. Yasutaka Furukawa
10. Brian Curless

Who trusts Hoang-Hiep Vu overall

1. Amaël Delaunoy
2. Arno Knapitsch
3. Fabio Remondino
4. Jiazhou Chen
5. Marc Pollefeys
6. Jaesik Park
7. Maria Grazia Spera
8. Yanghui Xu

Papers from Hoang-Hiep Vu's perspective

Ordered by how strongly the researchers Hoang-Hiep Vu 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. ImageNet classification with deep convolutional neural networks
3. Distinctive Image Features from Scale-Invariant Keypoints
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Gradient-based learning applied to document recognition
7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms
10. Going deeper with convolutions

Their papers

• High Accuracy and Visibility-Consistent Dense Multiview Stereo (2012) — 293 citations