Tamás Czimmermann

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Tamás Czimmermann trusts overall

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

  1. Xianghua Xie
  2. Ajay Kumar
  3. Markos Markou
  4. Shaoqing Ren
  5. Timo Ojala
  6. Young-Jin Cha
  7. Sameer Singh
  8. Grantham Kwok-Hung Pang
  9. Kaiming He
  10. Hui-Fuang Ng

Papers from Tamás Czimmermann's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  3. Gradient-based learning applied to document recognition
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. ImageNet Large Scale Visual Recognition Challenge
  6. ImageNet: A large-scale hierarchical image database
  7. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Going deeper with convolutions
  10. Long Short-Term Memory

Their papers