Oliver Schreer

Computer Vision and Pattern Recognition · 2007–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Oliver Schreer trusts overall

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

  1. Johannes L. Schönberger

Papers from Oliver Schreer's perspective

Ordered by how strongly the researchers Oliver Schreer 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. Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
  3. DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
  4. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  5. Structure-from-Motion Revisited
  6. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
  7. Convolutional Occupancy Networks (European Conference on Computer Vision)
  8. Pixelwise View Selection for Unstructured Multi-View Stereo
  9. ImageNet classification with deep convolutional neural networks
  10. Implicit Neural Representations with Periodic Activation Functions

Their papers