R. Rajkumar

Computer Vision and Pattern Recognition · IEEE Real-Time Systems Symposium · 2001–2020

A researcher in the Science corpus: 10 papers; trusts 190 researchers and is trusted by 18 researchers here, as inferred from the citation graph.

Subfields

Whom R. Rajkumar trusts overall

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

  1. Charles Ruizhongtai Qi
  2. Ross B. Girshick
  3. Kaiming He
  4. Geoffrey E. Hinton
  5. Alex Krizhevsky
  6. Yin Zhou
  7. Andreas Geiger
  8. Hao Su
  9. Binh Yang
  10. Raquel Urtasun

Who trusts R. Rajkumar overall

  1. Björn B. Brandenburg
  2. Kazi Masudul Alam
  3. Anton Beloglazov
  4. Savannah Thais
  5. Wu Zheng
  6. Kyoung-Dae Kim
  7. Rui Qian
  8. Fei Tao
  9. Guoguang Du
  10. Xuran Pan

Papers from R. Rajkumar's perspective

Ordered by how strongly the researchers R. Rajkumar 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  4. ImageNet: A large-scale hierarchical image database
  5. Gradient-based learning applied to document recognition
  6. Long Short-Term Memory
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers