Jason A. Dowling
Computer Vision and Pattern Recognition · 2013–2021
A researcher in the Science corpus: 3 papers; trusts 28 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 77 citations into it; #20,310 of 21,575 by trust here, #10,154 by citations
- Generative Models — 48 citations into it
- Artificial Intelligence — 35 citations into it; #33,150 of 35,345 by trust here, #30,347 by citations
Whom Jason A. Dowling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Tero Karras
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jimmy Ba
- Yoshua Bengio
- Individualized Treat
- Kaiming He
- Yann LeCun
- Ishaan Gulrajani
Who trusts Jason A. Dowling overall
Papers from Jason A. Dowling's perspective
Ordered by how strongly the researchers Jason A. Dowling 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)
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Manipulating Medical Image Translation with Manifold Disentanglement (2020) — 8 citations
- A review of medical image data augmentation techniques for deep learning applications (2021) — 882 citations
- Evaluation of prostate segmentation algorithms for MRI: the PROMISE12 challenge (2013) — 882 citations