Ka Chun Cheung

Computer Vision and Pattern Recognition · with Dai · 2022

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ka Chun Cheung trusts

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

  1. Michael J. Black (in Computer Vision and Pattern Recognition)
  2. Jia Deng (in Computer Vision and Pattern Recognition)
  3. Thomas Brox (in Computer Vision and Pattern Recognition)

Papers from Ka Chun Cheung's perspective

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

  1. Attention is All you Need (Neural Information Processing Systems)
  2. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  3. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
  4. FlowNet: Learning Optical Flow with Convolutional Networks
  5. End-to-End Object Detection with Transformers (European Conference on Computer Vision)
  6. Vision meets robotics: The KITTI dataset
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. ImageNet classification with deep convolutional neural networks
  9. A Naturalistic Open Source Movie for Optical Flow Evaluation
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers