Chongjian Yuan

IEEE Robotics and Automation Letters · 2021

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

Whom Chongjian Yuan trusts overall

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

  1. John F. Canny
  2. Davide Scaramuzza
  3. Christoph Hertzberg
  4. Gaurav Pandey
  5. René Wagner
  6. James R. McBride

Papers from Chongjian Yuan's perspective

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

  1. Extrinsic self calibration of a camera and a 3D laser range finder from natural scenes (2007 IEEE/RSJ International Conference on Intelligent Robots and Systems)
  2. A Computational Approach to Edge Detection
  3. Integrating generic sensor fusion algorithms with sound state representations through encapsulation of manifolds (Information Fusion)
  4. Gradient-based learning applied to document recognition
  5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  6. Automatic Targetless Extrinsic Calibration of a 3D Lidar and Camera by Maximizing Mutual Information (AAAI Conference on Artificial Intelligence)
  7. Long Short-Term Memory
  8. ImageNet: A large-scale hierarchical image database
  9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers