Billur Barshan

Computer Vision and Pattern Recognition · 2010–2014

A researcher in the Science corpus: 4 papers; trusts 42 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

Whom Billur Barshan trusts overall

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

  1. R. Golden
  2. Daniel Roetenberg
  3. Kerem Altun
  4. Miikka Ermes
  5. Stephen J. Preece
  6. Juha Pärkkä
  7. Ling Bao
  8. Bijan Najafi
  9. Chih-Jen Lin
  10. Thomas Baltzer Moeslund

Who trusts Billur Barshan overall

  1. Sreenivasan Ramasamy Ramamurthy
  2. Nirmalya Roy
  3. Neha Dawar
  4. Nasser Kehtarnavaz
  5. Roozbeh Jafari
  6. Oscar D. Lara
  7. Kerem Altun
  8. Ferhat Attal
  9. Zehua Sun
  10. Murat Cihan Yüksek

Papers from Billur Barshan's perspective

Ordered by how strongly the researchers Billur Barshan trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Accelerometry: providing an integrated, practical method for long-term, ambulatory monitoring of human movement (Physiological Measurement)
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Gradient-based learning applied to document recognition
  5. ImageNet: A large-scale hierarchical image database
  6. Multi-sensor Activity Context Detection for Wearable Computing (EUSAI)
  7. Classification of basic daily movements using a triaxial accelerometer (Medical and Biological Engineering and Computing)
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring (IEEE Transactions on Information Technology in Biomedicine)
  10. Long Short-Term Memory

Their papers