Srikanth Saripalli

Computer Vision and Pattern Recognition · 2002–2020

A researcher in the Science corpus: 4 papers; trusts 14 researchers and is trusted by 9 researchers here, as inferred from the citation graph.

Subfields

Whom Srikanth Saripalli trusts overall

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

  1. Courtney S. Sharp
  2. Frank Dellaert

Who trusts Srikanth Saripalli overall

  1. Markus Achtelik
  2. Kartik Mohta
  3. Naser Hossein Motlagh
  4. Vijay R. Kumar
  5. Bruno Hérissé
  6. Michael Blösch
  7. Stephan Weiss
  8. Pieter Abbeel
  9. Farid Kendoul
  10. Tarik Taleb

Papers from Srikanth Saripalli's perspective

Ordered by how strongly the researchers Srikanth Saripalli 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. Indoor Segmentation and Support Inference from RGBD Images
  4. ImageNet: A large-scale hierarchical image database
  5. The Pascal Visual Object Classes Challenge: A Retrospective
  6. Gradient-based learning applied to document recognition
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
  10. Going deeper with convolutions

Their papers