Lark Kwon Choi

Computer Vision and Pattern Recognition · 2012–2015

A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 4 researchers here, as inferred from the citation graph.

Subfields

Whom Lark Kwon Choi trusts overall

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

  1. Raanan Fattal
  2. Robby T. Tan
  3. Daniel L. Ruderman
  4. A. Bovik
  5. Jean-Philippe Tarel
  6. Kaiming He
  7. Nicolas Hautière
  8. Hamid R. Sheikh
  9. Anish Mittal
  10. Graham David Finlayson

Who trusts Lark Kwon Choi overall

  1. Codruta Orniana Ancuti
  2. Cosmin Ancuți
  3. Christos Sakaridis
  4. Hao Zhu
  5. Wenqi Ren
  6. Radu Timofte
  7. C. De Vleeschouwer
  8. Dengxin Dai
  9. Dingquan Li
  10. Ka-Veng Yuen

Papers from Lark Kwon Choi's perspective

Ordered by how strongly the researchers Lark Kwon Choi 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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. ImageNet: A large-scale hierarchical image database
  6. Gradient-based learning applied to document recognition
  7. Attention is All you Need (Neural Information Processing Systems)
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  10. Long Short-Term Memory

Their papers