Philippe Bekaert

Computer Vision and Pattern Recognition · 2006–2018

A researcher in the Science corpus: 3 papers; trusts 27 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 41 citations into it; #7,747 of 21,575 by trust here, #8,952 by citations
• Media Technology — 17 citations into it; #953 of 3,621 by trust here, #941 by citations
• Atomic and Molecular Physics, and Optics — 6 citations into it

Whom Philippe Bekaert trusts overall

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

1. Raanan Fattal
2. David G. Lowe
3. Graham David Finlayson
4. Joost van de Weijer
5. Jean-Philippe Tarel
6. Srinivasa G. Narasimhan
7. Codruta Orniana Ancuti
8. Kaiming He
9. Raimondo Schettini

Who trusts Philippe Bekaert overall

1. Chongyi Li
2. Peixian Zhuang
3. Lintao Peng
4. Seong-heum Kim
5. Dana Berman
6. Runmin Cong

Papers from Philippe Bekaert's perspective

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

1. Distinctive Image Features from Scale-Invariant Keypoints
2. Image quality assessment: from error visibility to structural similarity
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. ImageNet classification with deep convolutional neural networks
5. The Laplacian Pyramid as a Compact Image Code
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Gradient-based learning applied to document recognition
9. Single image dehazing (ACM Transactions on Graphics)
10. Going deeper with convolutions

Their papers

• Enhancing underwater images and videos by fusion (2012) — 1,107 citations
• Color Balance and Fusion for Underwater Image Enhancement (2018) — 1,171 citations
• Advanced global illumination (2006) — 395 citations