S. Maskatia

Computer Vision and Pattern Recognition · 2018–2020

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom S. Maskatia trusts

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

  1. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from S. Maskatia's perspective

Ordered by how strongly the researchers S. Maskatia 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. Long Short-Term Memory
  3. Learning Multiple Layers of Features from Tiny Images
  4. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  5. Densely Connected Convolutional Networks
  6. Training Products of Experts by Minimizing Contrastive Divergence
  7. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
  8. Long-term recurrent convolutional networks for visual recognition and description
  9. Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations
  10. On Calibration of Modern Neural Networks

Their papers