Balakumar Sundaralingam

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 2 papers; trusts 31 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

Whom Balakumar Sundaralingam trusts overall

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

  1. Diederik P. Kingma
  2. Geoffrey E. Hinton
  3. Pieter Abbeel
  4. Kaiming He
  5. Alex Krizhevsky
  6. Yoshua Bengio
  7. Andrew Y. Ng
  8. Jimmy Ba
  9. Yann LeCun
  10. Ross B. Girshick

Who trusts Balakumar Sundaralingam overall

  1. Sergey I. Nikolenko

Papers from Balakumar Sundaralingam's perspective

Ordered by how strongly the researchers Balakumar Sundaralingam 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. Attention is All you Need (Neural Information Processing Systems)
  6. Gradient-based learning applied to document recognition
  7. Long Short-Term Memory
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. Microsoft COCO: Common Objects in Context
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers