Vico Pascual

Computer Vision and Pattern Recognition · 2015–2019

A researcher in the Science corpus: 2 papers; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Vico Pascual trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)
  2. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  3. Karen Simonyan (in Computer Vision and Pattern Recognition)
  4. Kaiming He (in Computer Vision and Pattern Recognition)
  5. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  6. X. Zhang (in Computer Vision and Pattern Recognition)
  7. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  8. Ali Farhadi (in Computer Vision and Pattern Recognition)

Papers from Vico Pascual's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. Going deeper with convolutions
  3. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  4. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  5. Caffe: Convolutional Architecture for Fast Feature Embedding
  6. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  7. Automatic differentiation in PyTorch
  8. ImageNet classification with deep convolutional neural networks
  9. Xception: Deep Learning with Depthwise Separable Convolutions
  10. Best practices for convolutional neural networks applied to visual document analysis

Their papers