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
- Computer Vision and Pattern Recognition — 34 citations into it
- Computer Graphics and Computer-Aided Design — 21 citations into it
- Computational Mechanics — 16 citations into it
- 3D Vision & Pose — 14 citations into it
Whom Oliver Schreer trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
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.
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Occupancy Networks: Learning 3D Reconstruction in Function Space (Computer Vision and Pattern Recognition)
- DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Structure-from-Motion Revisited
- Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision
- Convolutional Occupancy Networks (European Conference on Computer Vision)
- Pixelwise View Selection for Unstructured Multi-View Stereo
- ImageNet classification with deep convolutional neural networks
- Implicit Neural Representations with Periodic Activation Functions
Their papers
- Multi-View Mesh Reconstruction with Neural Deferred Shading (2022) — 67 citations
- Depth map creation and image-based rendering for advanced 3DTV services providing interoperability and scalability (2007) — 402 citations