Xenophon Zabulis

Computer Vision and Pattern Recognition · 2017–2018

A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Xenophon Zabulis trusts

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

  1. Derek Hoiem (in Computer Vision and Pattern Recognition)
  2. Antonio Torralba (in Computer Vision and Pattern Recognition)
  3. Rob Fergus (in Computer Vision and Pattern Recognition)
  4. Andrew Zisserman (in Computer Vision and Pattern Recognition)
  5. David G. Lowe (in Computer Vision and Pattern Recognition)
  6. Jitendra Malik (in Computer Vision and Pattern Recognition)
  7. Daniel Cremers (in Computer Vision and Pattern Recognition)
  8. Ross B. Girshick (in Computer Vision and Pattern Recognition)
  9. Trevor Darrell (in Computer Vision and Pattern Recognition)
  10. Alex Krizhevsky (in Computer Vision and Pattern Recognition)

Papers from Xenophon Zabulis's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. ImageNet Large Scale Visual Recognition Challenge
  3. Indoor Segmentation and Support Inference from RGBD Images
  4. A large-scale hierarchical multi-view RGB-D object dataset
  5. Using Spin Images for Efficient Object Recognition in Cluttered 3D Scenes
  6. KinectFusion: Real-time dense surface mapping and tracking
  7. A Taxonomy and Evaluation of Dense Two-Frame Stereo Correspondence Algorithms
  8. A benchmark for the evaluation of RGB-D SLAM systems
  9. Model Based Training, Detection and Pose Estimation of Texture-Less 3D Objects in Heavily Cluttered Scenes
  10. Learning 6D Object Pose Estimation Using 3D Object Coordinates

Their papers