Nicolas Padoy

Computer Vision and Pattern Recognition · 2012–2020

A researcher in the Science corpus: 4 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Nicolas Padoy trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Lawrence R. Rabiner

Who trusts Nicolas Padoy overall

  1. Yueming Jin
  2. Andru Putra Twinanda

Papers from Nicolas Padoy's perspective

Ordered by how strongly the researchers Nicolas Padoy trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  4. Object Detection with Discriminatively Trained Part Based Models
  5. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  6. Caffe: Convolutional Architecture for Fast Feature Embedding
  7. A tutorial on hidden Markov models and selected applications in speech recognition
  8. Pattern Recognition and Machine Learning
  9. A Survey on Transfer Learning
  10. High-dimensional signature compression for large-scale image classification

Their papers