Sourabh Vora

Computer Vision and Pattern Recognition · 2018–2019

A researcher in the Science corpus: 3 papers; trusts 348 researchers and is trusted by 150 researchers here, as inferred from the citation graph.

Subfields

Whom Sourabh Vora trusts overall

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

  1. Kaiming He
  2. Ross B. Girshick
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Binh Yang
  6. Shaoqing Ren
  7. Yoshua Bengio
  8. Yann LeCun
  9. Diederik P. Kingma
  10. Bo Li

Who trusts Sourabh Vora overall

  1. Tianwei Yin
  2. Runsheng Xu
  3. Philipp Krahenbuhl
  4. Brady Zhou
  5. Xingyi Zhou
  6. Ishan Misra
  7. Chunwei Wang
  8. Jiageng Mao
  9. Zhijian Liu
  10. Xuran Pan

Papers from Sourabh Vora's perspective

Ordered by how strongly the researchers Sourabh Vora trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  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. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  7. Long Short-Term Memory
  8. Attention is All you Need (Neural Information Processing Systems)
  9. ImageNet Large Scale Visual Recognition Challenge
  10. Going deeper with convolutions

Their papers