Constantine Papageorgiou

Computer Vision and Pattern Recognition · 1998–2001

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 3,479 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 9 citations into it; #585 of 21,575 by trust here, #3,538 by citations

Whom Constantine Papageorgiou trusts overall

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

1. Kah Kay Sung
2. Stéphane Mallat
3. C. Burges
4. Vladimir Naumovich Vapni
5. Thorsten Joachims
6. Vladimir Naumovich Vapnik
7. Tomaso A. Poggio

Who trusts Constantine Papageorgiou overall

1. Piotr Doll'ar
2. Bastian Leibe
3. Bernt Schiele
4. Navneet Dalal
5. Antonio Torralba
6. Dariu M. Gavrila
7. Subhransu Maji
8. Wanli Ouyang
9. Jitendra Malik
10. Cordelia Schmid

Papers from Constantine Papageorgiou's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Histograms of oriented gradients for human detection
5. Learning Deep Architectures for AI
6. Going deeper with convolutions
7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
8. Distinctive Image Features from Scale-Invariant Keypoints
9. ImageNet: A large-scale hierarchical image database
10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers

• A Trainable System for Object Detection (2000) — 1,485 citations
• Example-Based Object Detection in Images by Components (2001) — 1,177 citations
• A general framework for object detection (1998)