Peter Hall
Computer Vision and Pattern Recognition · with Cai · 2015
A researcher in the Science corpus: 1 paper; trusts 215 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it
- Artificial Intelligence — 10 citations into it
- Representation & Self-Supervised Learning — 7 citations into it
Whom Peter Hall trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andrew Zisserman
- Andrea Vedaldi
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Navneet Dalal
- Rob Fergus
- David G. Lowe
- Kaiming He
Papers from Peter Hall's perspective
Ordered by how strongly the researchers Peter Hall trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)