Bencheng Liao

Computer Vision and Pattern Recognition · 2021–2025

A researcher in the Science corpus: 7 papers; trusts 400 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Bencheng Liao trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Diederik P. Kingma
  7. Yann LeCun
  8. Ilya Sutskever
  9. Shaoqing Ren
  10. X. Zhang

Who trusts Bencheng Liao overall

  1. Yu-Quan Wang
  2. Weihao Yu
  3. Shaoyu Chen
  4. Yunjie Tian
  5. Chien-Yao Wang
  6. Jiacheng Ruan

Papers from Bencheng Liao's perspective

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

Their papers