Minesh Mathew

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 172 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Minesh Mathew trusts overall

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

  1. Kaiming He
  2. Shaoqing Ren
  3. Geoffrey E. Hinton
  4. Ross B. Girshick
  5. Yoshua Bengio
  6. Alex Krizhevsky
  7. Diederik P. Kingma
  8. Sepp Hochreiter
  9. Ilya Sutskever
  10. Yann LeCun

Who trusts Minesh Mathew overall

  1. Jinze Bai
  2. Hao Shao
  3. Shuai Bai
  4. Jiaming Han
  5. Peng Gao
  6. Yupan Huang
  7. Renrui Zhang
  8. Peiyuan Zhang
  9. Matt Deitke
  10. Yu Wang

Papers from Minesh Mathew's perspective

Ordered by how strongly the researchers Minesh Mathew 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. Attention is All you Need (Neural Information Processing Systems)
  5. Long Short-Term Memory
  6. ImageNet: A large-scale hierarchical image database
  7. Gradient-based learning applied to document recognition
  8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  9. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  10. ImageNet Large Scale Visual Recognition Challenge

Their papers