Tseng-Hung Chen

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 2 papers; trusts 274 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Tseng-Hung Chen trusts overall

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

  1. Geoffrey E. Hinton
  2. Diederik P. Kingma
  3. Alex Krizhevsky
  4. Karen Simonyan
  5. Yoshua Bengio
  6. Ilya Sutskever
  7. Kaiming He
  8. Oriol Vinyals
  9. Sepp Hochreiter
  10. Yann LeCun

Who trusts Tseng-Hung Chen overall

  1. Zhou Zhao
  2. Thao Minh Le
  3. Dejing Xu
  4. Yueting Zhuang
  5. Devshree Patel
  6. Yangyu Chen
  7. Hongyang Xue
  8. Aman Chadha
  9. Vuong Le
  10. Evlampios Apostolidis

Papers from Tseng-Hung Chen's perspective

Ordered by how strongly the researchers Tseng-Hung Chen trusts endorse each paper. Same corpus, a different order for every researcher.

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

Their papers