Adam P. Harrison
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it
Whom Adam P. Harrison trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Zhuowen Tu (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Saining Xie (in Computer Vision and Pattern Recognition)
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
Papers from Adam P. Harrison's perspective
Ordered by how strongly the researchers Adam P. Harrison trusts endorse each paper. Same corpus, a different order for every researcher.
- Fully convolutional networks for semantic segmentation
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Semantic Image Segmentation with Deep Convolutional Nets and Fully Connected CRFs
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images