Joseph Weber

Computer Vision and Pattern Recognition · 1993

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 5 citations into it; #9,444 of 21,575 by trust here, #15,162 by citations

Whom Joseph Weber trusts overall

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

1. David G. Jones
2. Takeo Kanade
3. Jitendra Malik
4. John F. Canny

Who trusts Joseph Weber overall

1. Saurabh Gupta
2. Denis Fortun
3. Joachim Weickert
4. Judy Hoffman
5. Jitendra Malik
6. Patrick Bouthemy
7. Bharath Hariharan
8. Alan A. Stocker
9. Charles Kervrann
10. Christoph Schnörr

Papers from Joseph Weber's perspective

Ordered by how strongly the researchers Joseph Weber 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. Gradient-based learning applied to document recognition
4. An Iterative Image Registration Technique with an Application to Stereo Vision
5. ImageNet: A large-scale hierarchical image database
6. Going deeper with convolutions
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Robust computation of optical flow in a multi-scale differential framework (1993)