Tian Liu

Computer Vision and Pattern Recognition · with Curran · 2019

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 Tian Liu trusts

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

  1. Kaiming He (in Computer Vision and Pattern Recognition)
  2. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  3. Ross B. Girshick (in Computer Vision and Pattern Recognition)

Papers from Tian Liu's perspective

Ordered by how strongly the researchers Tian Liu 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. Going deeper with convolutions
  3. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  4. Densely Connected Convolutional Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Gradient-based learning applied to document recognition
  9. FlowNet: Learning Optical Flow with Convolutional Networks
  10. Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Their papers