J. Whitehill

Computer Vision and Pattern Recognition · 2009–2015

A researcher in the Science corpus: 5 papers; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom J. Whitehill trusts overall

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

  1. Paul A. Viola
  2. Jerome H. Friedman
  3. Yoav Freund
  4. Eric R. Ziegel
  5. S. D’Mello
  6. M. Bartlett
  7. Robert E. Schapire
  8. Takeo Kanade
  9. Ashish Kapoor
  10. A. P. Dawid

Who trusts J. Whitehill overall

  1. Peter Welinder
  2. Kenji Hata
  3. Zhi-Hua Zhou
  4. Lydia B. Chilton
  5. Shan Li
  6. Ranjay Krishna
  7. Daniel S. Weld
  8. Ashish Khetan
  9. Ece Kamar
  10. Ariel Jaffe

Papers from J. Whitehill's perspective

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

  1. A decision-theoretic generalization of on-line learning and an application to boosting
  2. Robust Real-time Object Detection
  3. Robust Real-Time Face Detection
  4. Object recognition from local scale-invariant features
  5. ImageNet classification with deep convolutional neural networks
  6. The Elements of Statistical Learning
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Modeling naturalistic affective states via facial and vocal expressions recognition (International Conference on Multimodal Interaction)
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers