Jesús Briales

Computer Vision and Pattern Recognition · 2016–2019

A researcher in the Science corpus: 2 papers; trusts 14 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Jesús Briales trusts overall

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

  1. Christian Forster
  2. Georg S. W. Klein
  3. Jürgen Sturm
  4. Simon Baker
  5. Christian Kerl
  6. Luca Vacchetti
  7. Ankur Handa
  8. Rafael Grompone von Gioi
  9. David William Murray

Papers from Jesús Briales's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Parallel Tracking and Mapping for Small AR Workspaces
  3. KinectFusion: Real-time dense surface mapping and tracking
  4. DTAM: Dense tracking and mapping in real-time
  5. A benchmark for the evaluation of RGB-D SLAM systems
  6. Robust odometry estimation for RGB-D cameras
  7. Microsoft COCO: Common Objects in Context
  8. A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM
  9. Improving the Agility of Keyframe-Based SLAM (European Conference on Computer Vision)
  10. Direct Sparse Odometry (IEEE Transactions on Pattern Analysis and Machine Intelligence)

Their papers