Ankit Gupta

Computer Vision and Pattern Recognition · with Cohen · 2010

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

Whom Ankit Gupta trusts overall

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

  1. Anat Levin
  2. Jiaya Jia
  3. Neel Joshi
  4. Yair Weiss
  5. Sundaresh Ram
  6. Aristidis C. Likas
  7. Richard Szeliski
  8. William T. Freeman
  9. S. Jayendran
  10. N. Galatsanos

Who trusts Ankit Gupta overall

  1. Michael Hirsch
  2. Jin-shan Pan
  3. Tae Hyun Kim
  4. Abhijith Punnappurath
  5. Ziyi Shen
  6. Dong Gong
  7. Christian J. Schuler
  8. Zhe Hu
  9. Kaihao Zhang

Papers from Ankit Gupta's perspective

Ordered by how strongly the researchers Ankit Gupta 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. ImageNet classification with deep convolutional neural networks
  3. Gradient-based learning applied to document recognition
  4. ImageNet: A large-scale hierarchical image database
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Going deeper with convolutions
  7. Learning Multiple Layers of Features from Tiny Images
  8. ImageNet Large Scale Visual Recognition Challenge
  9. Attention is All you Need (Neural Information Processing Systems)
  10. Long Short-Term Memory

Their papers