Ting Chen

Computer Vision and Pattern Recognition · with Li · 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 Ting Chen 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. X. Zhang (in Computer Vision and Pattern Recognition)

Papers from Ting Chen's perspective

Ordered by how strongly the researchers Ting Chen 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. Unsupervised Representation Learning by Predicting Image Rotations
  3. mixup: Beyond Empirical Risk Minimization
  4. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  5. ImageNet classification with deep convolutional neural networks
  6. Improved Regularization of Convolutional Neural Networks with Cutout
  7. Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings
  8. MVTec AD — A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection (Computer Vision and Pattern Recognition)
  9. Describing Textures in the Wild
  10. Gradient-based learning applied to document recognition

Their papers