Soubhik Sanyal

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 2 papers; trusts 185 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Soubhik Sanyal trusts overall

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

  1. Kaiming He
  2. Geoffrey E. Hinton
  3. Alex Krizhevsky
  4. Adrian Bulat
  5. Anh Tuan Tran
  6. Ayush Kumar Tewari
  7. Diederik P. Kingma
  8. Yann LeCun
  9. Yoshua Bengio
  10. Ross B. Girshick

Who trusts Soubhik Sanyal overall

  1. Shangzhe Wu
  2. Michael J. Black
  3. Radek Daněček
  4. Yufeng Zheng
  5. Yao Feng
  6. Timo Bolkart
  7. Ayush Kumar Tewari
  8. Christian Rupprecht
  9. Haiwen Feng
  10. Victoria Fernández Abrevaya

Papers from Soubhik Sanyal's perspective

Ordered by how strongly the researchers Soubhik Sanyal 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. ImageNet Large Scale Visual Recognition Challenge
  7. Attention is All you Need (Neural Information Processing Systems)
  8. Long Short-Term Memory
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers