David J. Collins
Computer Vision and Pattern Recognition · 2007–2018
A researcher in the Science corpus: 4 papers; trusts 74 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 23 citations into it; #12,563 of 21,575 by trust here, #9,079 by citations
- Artificial Intelligence — 12 citations into it; #20,267 of 35,345 by trust here, #13,163 by citations
- Optimization & Training — 6 citations into it
Whom David J. Collins trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yoshua Bengio
- Geoffrey E. Hinton
- Yann LeCun
- David G. Lowe
- Hugo Larochelle
- Alex Krizhevsky
- Rob Fergus
- Diederik P. Kingma
- Marc'Aurelio Ranzato
- Quoc V. Le
Who trusts David J. Collins overall
Papers from David J. Collins's perspective
Ordered by how strongly the researchers David J. Collins 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Stacked Autoencoders for Unsupervised Feature Learning and Multiple Organ Detection in a Pilot Study Using 4D Patient Data (2013) — 498 citations
- Patient-derived organoids model treatment response of metastatic gastrointestinal cancers (2018) — 1,767 citations
- Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. (2009) — 2,018 citations
- Diffusion-weighted MRI in the body: applications and challenges in oncology. (2007) — 2,063 citations