Miguel A. Labrador
Computer Vision and Pattern Recognition · 2013–2014
A researcher in the Science corpus: 2 papers; trusts 15 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it; #6,691 of 21,575 by trust here, #8,296 by citations
- Biomedical Engineering — 13 citations into it
- Artificial Intelligence — 9 citations into it; #9,648 of 35,345 by trust here, #12,083 by citations
Whom Miguel A. Labrador trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Mark A. Hall
- Kerem Altun
- Zhenyu He
- Oscar D. Lara
- Pavan K. Turaga
- Ian H. Witten
- Ivan Laptev
- Samuele Gasparrini
- Jamie Shotton
- Billur Barshan
Who trusts Miguel A. Labrador overall
- Yueng Santiago Delahoz
- Jindong Wang
- Omer Berat Sezer
- Xiaochen Zheng
- Zhihua Wang
- Chen Wang
- Dalin Zhang
- Muhammad Shoaib
- L. Dang
- Subhas Chandra Mukhopadhyay
Papers from Miguel A. Labrador's perspective
Ordered by how strongly the researchers Miguel A. Labrador trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Support-Vector Networks
- Real-time human pose recognition in parts from single depth images
- On Space-Time Interest Points
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Survey on Fall Detection and Fall Prevention Using Wearable and External Sensors (2014) — 339 citations
- A Survey on Human Activity Recognition using Wearable Sensors (2013) — 2,631 citations