Mohit Shridhar

Computer Vision and Pattern Recognition · 2018–2022

A researcher in the Science corpus: 6 papers; trusts 893 researchers and is trusted by 248 researchers here, as inferred from the citation graph.

Subfields

Whom Mohit Shridhar trusts overall

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

  1. Kaiming He
  2. Diederik P. Kingma
  3. Geoffrey E. Hinton
  4. Alex Krizhevsky
  5. Yoshua Bengio
  6. Ross B. Girshick
  7. Yann LeCun
  8. Ilya Sutskever
  9. Jimmy Ba
  10. Karen Simonyan

Who trusts Mohit Shridhar overall

  1. Valts Blukis
  2. Linxi (Jim) Fan
  3. Dieter Fox
  4. Pratyusha Sharma
  5. Yichi Zhang
  6. Vincent Micheli
  7. Ankit Goyal
  8. Hao Zhu
  9. Chelsea Finn
  10. Wenlong Huang

Papers from Mohit Shridhar's perspective

Ordered by how strongly the researchers Mohit Shridhar 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. ImageNet Large Scale Visual Recognition Challenge
  10. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)

Their papers