J. Zhu

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 J. Zhu 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 J. Zhu's perspective

Ordered by how strongly the researchers J. Zhu 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. GENERATIVE ADVERSARIAL NETS
  3. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  4. Attention is All you Need (Neural Information Processing Systems)
  5. Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations
  6. PyTorch: An Imperative Style, High-Performance Deep Learning Library
  7. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
  8. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  9. PIFu: Pixel-Aligned Implicit Function for High-Resolution Clothed Human Digitization
  10. Learning Implicit Fields for Generative Shape Modeling

Their papers