Samarth Brahmbhatt

Computer Vision and Pattern Recognition · 2014–2020

A researcher in the Science corpus: 4 papers; trusts 205 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

Whom Samarth Brahmbhatt trusts overall

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

  1. Diederik P. Kingma
  2. Kaiming He
  3. Sebastian Thrun
  4. Alex Kendall
  5. Geoffrey E. Hinton
  6. Jakob J. Engel
  7. Alex Krizhevsky
  8. Jimmy Ba
  9. Andrew Zisserman
  10. Ross B. Girshick

Who trusts Samarth Brahmbhatt overall

  1. Hanwen Jiang
  2. Priyanka Mandikal
  3. Eric Brachmann
  4. Torsten Sattler
  5. Shaowei Liu
  6. Sudeep Pillai
  7. Dylan Turpin
  8. Yana Hasson
  9. Kristen Grauman
  10. Bowen Pan

Papers from Samarth Brahmbhatt's perspective

Ordered by how strongly the researchers Samarth Brahmbhatt 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. Long Short-Term Memory
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Attention is All you Need (Neural Information Processing Systems)
  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