Yeongho Seol

Computational Mechanics · 2020

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

Subfields

Whom Yeongho Seol trusts overall

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

  1. Olga Sorkine-Hornung

Papers from Yeongho Seol's perspective

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

  1. Neural 3D Mesh Renderer
  2. ShapeNet: An Information-Rich 3D Model Repository
  3. Soft Rasterizer: A Differentiable Renderer for Image-Based 3D Reasoning (IEEE International Conference on Computer Vision)
  4. A Morphable Model For The Synthesis Of 3D Faces
  5. Laplacian Mesh Processing (Eurographics)
  6. High-quality passive facial performance capture using anchor frames (ACM Transactions on Graphics)
  7. Accelerating 3D deep learning with PyTorch3D
  8. A morphable model for the synthesis of 3D faces
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. ImageNet classification with deep convolutional neural networks

Their papers