David J. Weiss

Computer Vision and Pattern Recognition · with Taskar · 2010–2014

A researcher in the Science corpus: 3 papers; trusts 477 researchers and is trusted by 33 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 57 citations into it; #5,860 of 21,575 by trust here, #10,905 by citations
• Artificial Intelligence — 25 citations into it; #6,737 of 35,345 by trust here, #13,353 by citations
• Evaluation & Benchmarks — 10 citations into it
• Natural Language Processing — 10 citations into it; #2,347 of 5,688 by trust here, #4,682 by citations

Whom David J. Weiss trusts overall

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

1. Jitendra Malik
2. Pablo Arbeláez
3. Pedro F. Felzenszwalb
4. Ross B. Girshick
5. Dimitri P. Bertsekas
6. Andrea Vedaldi
7. Geoffrey E. Hinton
8. Vittorio Ferrari
9. Andrew Zisserman
10. Judea Pearl

Who trusts David J. Weiss overall

1. Anurag Arnab
2. Benjamin Sapp
3. Zhile Ren
4. Yi-Ting Chen
5. Ahmad Humayun
6. Lidan Wang
7. João Carreira
8. Weicheng Kuo
9. Sebastian Nowozin
10. Jitendra Malik

Papers from David J. Weiss's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• Understanding Objects in Detail with Fine-Grained Attributes (2014) — 119 citations
• SCALPEL: Segmentation Cascades with Localized Priors and Efficient Learning (2013) — 26 citations
• Structured Prediction Cascades (2010) — 129 citations