L. Liu

Computer Vision and Pattern Recognition · with Agrawala · 2021

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 L. Liu trusts

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

  1. Jitendra Malik (in Computer Vision and Pattern Recognition)
  2. Andreas Geiger (in Computer Vision and Pattern Recognition)

Papers from L. Liu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Attention is All you Need (Neural Information Processing Systems)
  3. GENERATIVE ADVERSARIAL NETS
  4. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  5. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  6. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
  7. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  8. Perceptual Losses for Real-Time Style Transfer and Super-Resolution
  9. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
  10. Neural 3D Mesh Renderer

Their papers