Francisco Flórez-Revuelta
Computer Vision and Pattern Recognition · 2012–2016
A researcher in the Science corpus: 6 papers; trusts 366 researchers and is trusted by 14 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 162 citations into it; #7,861 of 21,575 by trust here, #10,154 by citations
- Biomedical Engineering — 59 citations into it; #4,227 of 10,734 by trust here, #7,109 by citations
- Human-Computer Interaction — 45 citations into it; #1,939 of 2,253 by trust here, #1,440 by citations
- Artificial Intelligence — 44 citations into it; #28,816 of 35,345 by trust here, #29,412 by citations
- 3D Vision & Pose — 20 citations into it
- Control and Systems Engineering — 13 citations into it
- Electrical and Electronic Engineering — 10 citations into it
- Evaluation & Benchmarks — 9 citations into it
Whom Francisco Flórez-Revuelta trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Xiaodong Yang
- Lu Xia
- Wanqing Li
- Geoffrey E. Hinton
- Jake K. Aggarwal
- Zicheng Liu
- Navneet Dalal
- Jiang Wang
- Alex Krizhevsky
Who trusts Francisco Flórez-Revuelta overall
Papers from Francisco Flórez-Revuelta's perspective
Ordered by how strongly the researchers Francisco Flórez-Revuelta 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)
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- A discussion on the validation tests employed to compare human action recognition methods using the MSR Action3D dataset (2014) — 47 citations
- From Data Acquisition to Data Fusion: A Comprehensive Review and a Roadmap for the Identification of Activities of Daily Living Using Mobile Devices (2016) — 154 citations
- A Vision-Based System for Intelligent Monitoring: Human Behaviour Analysis and Privacy by Context (2014) — 94 citations
- Evaluation of a skeleton-based method for human activity recognition on a large-scale RGB-D dataset (2016) — 22 citations
- Evolutionary joint selection to improve human action recognition with RGB-D devices (2014) — 153 citations
- A review on vision techniques applied to Human Behaviour Analysis for Ambient-Assisted Living (2012) — 218 citations