Francois Robert Hogan
Computer Vision and Pattern Recognition · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it
- Control and Systems Engineering — 21 citations into it; #3,201 of 8,257 by trust here, #1,769 by citations
- Biomedical Engineering — 16 citations into it; #2,996 of 10,734 by trust here, #4,726 by citations
- Reinforcement Learning — 6 citations into it
Whom Francois Robert Hogan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Matthew Thomas Mason
- Yuval Tassa
- Michael Posa
- Nikhil Chavan Dafle
- Tom Erez
- Cecilia Cantu
- E. Todorov
- Antonio Bicchi
- Russ Tedrake
- Alberto Rodriguez
Who trusts Francois Robert Hogan overall
Papers from Francois Robert Hogan's perspective
Ordered by how strongly the researchers Francois Robert Hogan trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- Fully convolutional networks for semantic segmentation
- Spatial Transformer Networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Long Short-Term Memory
- Indoor Segmentation and Support Inference from RGBD Images