Carsten Stoll

Computer Vision and Pattern Recognition · 2009–2011

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 12 researchers here, as inferred from the citation graph.

Subfields

Whom Carsten Stoll trusts overall

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

  1. Jonathan A. J. Deutscher
  2. Ilya Baran
  3. David G. Lowe
  4. Matthijs C. Dorst
  5. Daniel Vlasic
  6. Ian David Reid
  7. Mario Botsch
  8. Jovan Popovic
  9. Leonid Sigal

Who trusts Carsten Stoll overall

  1. Zerong Zheng
  2. Thiemo Alldieck
  3. Yebin Liu
  4. Michael J. Black
  5. Gerard Pons-Moll
  6. Fei Han
  7. Zeng Huang
  8. Ahmed A. A. Osman
  9. Tao Yu
  10. Tianye Li

Papers from Carsten Stoll's perspective

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

  1. Distinctive Image Features from Scale-Invariant Keypoints
  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. Detailed Human Shape and Pose from Images
  7. ImageNet Large Scale Visual Recognition Challenge
  8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  9. Articulated mesh animation from multi-view silhouettes (ACM Transactions on Graphics)
  10. 3-D model-based tracking of humans in action: a multi-view approach

Their papers