L. Keselman

Computer Vision and Pattern Recognition · 2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom L. Keselman trusts overall

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

  1. Heiko Hirschmüller
  2. Szymon Rusinkiewicz
  3. Daniel Scharstein
  4. Andreas Geiger
  5. Xing Mei

Who trusts L. Keselman overall

  1. Xinjing Cheng
  2. Thomas Schöps
  3. Joshua Tobin
  4. Antonio Loquercio
  5. Lukas Maximilian Schmid
  6. Torsten Sattler
  7. Peng Wang
  8. Wojciech Zaremba

Papers from L. Keselman's perspective

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

  1. Are we ready for autonomous driving? The KITTI vision benchmark suite
  2. Evaluation of Stereo Matching Costs on Images with Radiometric Differences (IEEE Transactions on Pattern Analysis and Machine Intelligence)
  3. Efficient Large-Scale Stereo Matching (Asian Conference on Computer Vision)
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. A Stochastic Approximation Method
  6. ImageNet classification with deep convolutional neural networks
  7. High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth
  8. Real-time 3D reconstruction at scale using voxel hashing
  9. Gradient-based learning applied to document recognition
  10. Real-time 3D model acquisition (ACM Transactions on Graphics)

Their papers