Baris Gecer

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 55 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Baris Gecer trusts overall

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

  1. Elad Richardson
  2. Diederik P. Kingma
  3. Kaiming He
  4. Matan Sela
  5. Ian T. Jolliffe
  6. Volker Blanz
  7. Thomas Vetter
  8. James Booth
  9. Michael Zollhöfer
  10. Ayush Kumar Tewari

Who trusts Baris Gecer overall

  1. Shangzhe Wu
  2. Yao Feng
  3. Jianzhu Guo
  4. Yufeng Zheng
  5. B. Egger
  6. Christian Rupprecht
  7. Michael J. Black
  8. Haiwen Feng
  9. Xiangyu Zhu

Papers from Baris Gecer's perspective

Ordered by how strongly the researchers Baris Gecer 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. ImageNet classification with deep convolutional neural networks
  3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. ImageNet Large Scale Visual Recognition Challenge
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Going deeper with convolutions
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers