Senem Velipasalar

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Senem Velipasalar trusts

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

  1. Deva Ramanan (in Computer Vision and Pattern Recognition)
  2. Hamed Pirsiavash (in Computer Vision and Pattern Recognition)
  3. Michael S. Ryoo (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. Kristen Grauman (in Computer Vision and Pattern Recognition)
  6. Michael J. Black (in Computer Vision and Pattern Recognition)
  7. Larry H. Matthies (in Computer Vision and Pattern Recognition)
  8. Lianwen Jin (in Computer Vision and Pattern Recognition)
  9. Zhenyu He (in Computer Vision and Pattern Recognition)
  10. James M. Rehg (in Computer Vision and Pattern Recognition)

Papers from Senem Velipasalar's perspective

Ordered by how strongly the researchers Senem Velipasalar 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. Gradient-based learning applied to document recognition
  4. Going deeper with convolutions
  5. Attention is All you Need (Neural Information Processing Systems)
  6. ImageNet Large Scale Visual Recognition Challenge
  7. Detecting activities of daily living in first-person camera views
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)

Their papers