Erik Blasch

Computer Vision and Pattern Recognition · with Afghah · 2020

A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Erik Blasch trusts

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

  1. François Chollet (in Computer Vision and Pattern Recognition)

Papers from Erik Blasch's perspective

Ordered by how strongly the researchers Erik Blasch 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. Rethinking the Inception Architecture for Computer Vision
  3. Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
  4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  5. Xception: Deep Learning with Depthwise Separable Convolutions
  6. Convergence Analysis of Two-layer Neural Networks with ReLU Activation
  7. Help from the Sky: Leveraging UAVs for Disaster Management (IEEE pervasive computing)
  8. Deep Reinforcement Learning: An Overview
  9. Benchmarking TPU, GPU, and CPU Platforms for Deep Learning (arXiv.org)
  10. Traffic Light Control Using Deep Policy-Gradient and Value-Function Based Reinforcement Learning (arXiv.org)

Their papers