Ingo Feldmann

Computer Vision and Pattern Recognition · 2022

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Ingo Feldmann trusts

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

  1. Andreas Geiger (in Computer Vision and Pattern Recognition)
  2. Michael Oechsle (in Computer Vision and Pattern Recognition)
  3. Jan-Michael Frahm (in Computer Vision and Pattern Recognition)
  4. Johannes L. Schönberger (in Computer Vision and Pattern Recognition)
  5. Lars M. Mescheder (in Computer Vision and Pattern Recognition)
  6. Michael Niemeyer (in Computer Vision and Pattern Recognition)

Papers from Ingo Feldmann's perspective

Ordered by how strongly the researchers Ingo Feldmann 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. Structure-from-Motion Revisited
  5. Convolutional Occupancy Networks (European Conference on Computer Vision)
  6. Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
  7. Pixelwise View Selection for Unstructured Multi-View Stereo
  8. Implicit Neural Representations with Periodic Activation Functions
  9. NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction (Neural Information Processing Systems)
  10. UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction (IEEE International Conference on Computer Vision)

Their papers