Minje Park

Computer Vision and Pattern Recognition · 2016

A researcher in the Science corpus: 1 paper; trusts 10 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Minje Park trusts

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

  1. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Nikos Komodakis (in Computer Vision and Pattern Recognition)
  6. Spyros Gidaris (in Computer Vision and Pattern Recognition)
  7. Christian Szegedy (in Artificial Intelligence)
  8. Sergey Ioffe (in Artificial Intelligence)
  9. C. Lawrence Zitnick (in Computer Vision and Pattern Recognition)
  10. Jitendra Malik (in Computer Vision and Pattern Recognition)

Who trusts Minje Park

  1. Cong Yao (in Computer Vision and Pattern Recognition)

Papers from Minje Park's perspective

Ordered by how strongly the researchers Minje Park 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. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Fast R-CNN
  5. Hypercolumns for object segmentation and fine-grained localization
  6. ImageNet classification with deep convolutional neural networks
  7. R-FCN: Object Detection via Region-based Fully Convolutional Networks
  8. Inside-Outside Net: Detecting Objects in Context with Skip Pooling and Recurrent Neural Networks
  9. Gradient-based learning applied to document recognition
  10. Object Detection via a Multi-region and Semantic Segmentation-Aware CNN Model

Their papers