Ratnesh Kumar

Computer Vision and Pattern Recognition · with Agarwal · 2014–2023

A researcher in the Science corpus: 3 papers; trusts 111 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ratnesh Kumar trusts overall

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

  1. Oncel Tuzel
  2. Michael R. Kosorok
  3. Pedro F. Felzenszwalb
  4. Douglas T. Gray
  5. Fatih Murat Porikli
  6. Ross B. Girshick
  7. David G. Lowe
  8. Kaiming He
  9. Ross Messing
  10. Bingpeng Ma

Who trusts Ratnesh Kumar overall

  1. Seong Joon Oh

Papers from Ratnesh Kumar's perspective

Ordered by how strongly the researchers Ratnesh Kumar 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. Going deeper with convolutions
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Distinctive Image Features from Scale-Invariant Keypoints
  7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  8. Long Short-Term Memory
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Attention is All you Need (Neural Information Processing Systems)

Their papers