Chloe LeGendre

Computer Vision and Pattern Recognition · 2018

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 Chloe LeGendre trusts

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

  1. Michael J. Black (in Computer Vision and Pattern Recognition)
  2. Jitendra Malik (in Computer Vision and Pattern Recognition)

Papers from Chloe LeGendre's perspective

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

  1. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  2. 3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction
  3. Unsupervised Learning of 3D Structure from Images
  4. Multi-view Supervision for Single-View Reconstruction via Differentiable Ray Consistency
  5. Multi-view 3D Models from Single Images with a Convolutional Network
  6. Image-based visual hulls
  7. Learning from Synthetic Humans
  8. Articulated mesh animation from multi-view silhouettes (ACM Transactions on Graphics)
  9. Estimating human shape and pose from a single image
  10. Accurate, Dense, and Robust Multiview Stereopsis

Their papers