John W. Fisher III
Computer Vision and Pattern Recognition · 2002–2015
A researcher in the Science corpus: 10 papers; trusts 204 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 51 citations into it; #6,723 of 21,575 by trust here, #6,326 by citations
- Artificial Intelligence — 34 citations into it; #23,382 of 35,345 by trust here, #15,542 by citations
- Probabilistic & Bayesian Methods — 15 citations into it
- Signal Processing — 11 citations into it
- Computer Networks and Communications — 9 citations into it; #8,085 of 9,886 by trust here, #5,518 by citations
- Representation & Self-Supervised Learning — 8 citations into it
- Statistics and Probability — 8 citations into it; #7,748 of 12,932 by trust here, #6,080 by citations
- Aerospace Engineering — 5 citations into it
Whom John W. Fisher III trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Paul A. Viola
- Michael I. Jordan
- Alex Krizhevsky
- Jean-François Cardoso
- Francis R. Bach
- Yann LeCun
- Diederik P. Kingma
- Radford M. Neal
Who trusts John W. Fisher III overall
- Ruiping Wang
- A. Ihler
- Hossein Mobahi
- Martin J. Wainwright
- Arthur Gretton
- Siwei Lyu
- Koby Todros
- Thomas B. Berrett
- Ruiping Wang
- Xilin Chen
Papers from John W. Fisher III's perspective
Ordered by how strongly the researchers John W. Fisher III 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation (2015) — 160 citations
- Face Recognition from Long-Term Observations (2002) — 315 citations
- Face recognition with image sets using manifold density divergence (2005) — 339 citations
- Nonparametric belief propagation for self-localization of sensor networks (2005) — 567 citations
- On the Link between Gaussian Homotopy Continuation and Convex Envelopes (2015) — 84 citations
- Tractable Bayesian Inference of Time-Series Dependence Structure (2009) — 23 citations
- A Bayesian model for joint segmentation and registration (2006) — 312 citations
- Loopy Belief Propagation: Convergence and Effects of Message Errors (2005) — 370 citations
- A nonparametric statistical method for image segmentation using information theory and curve evolution (2005) — 340 citations
- ICA Using Spacings Estimates of Entropy (2003) — 299 citations