Congchong Nie

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Congchong Nie trusts overall

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

  1. Tsung-Yi Lin
  2. Ross B. Girshick
  3. Piotr Doll'ar
  4. Agrim Gupta

Papers from Congchong Nie's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. Microsoft COCO: Common Objects in Context
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Going deeper with convolutions
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Long Short-Term Memory

Their papers