Ravi Sundaram

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ravi Sundaram trusts

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

  1. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  2. Kaiming He (in Computer Vision and Pattern Recognition)
  3. Shaoqing Ren (in Computer Vision and Pattern Recognition)
  4. X. Zhang (in Computer Vision and Pattern Recognition)
  5. Yann LeCun (in Computer Vision and Pattern Recognition)
  6. Yoshua Bengio (in Computer Vision and Pattern Recognition)
  7. Andrea Vedaldi (in Computer Vision and Pattern Recognition)

Papers from Ravi Sundaram's perspective

Ordered by how strongly the researchers Ravi Sundaram 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. Gradient-based learning applied to document recognition
  3. DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
  4. CNN Features Off-the-Shelf: An Astounding Baseline for Recognition
  5. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks
  6. Two-Stream Convolutional Networks for Action Recognition in Videos
  7. TensorFlow: A system for large-scale machine learning
  8. How transferable are features in deep neural networks?
  9. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
  10. XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Their papers