Mathias Unberath
Computer Vision and Pattern Recognition · 2017–2023
A researcher in the Science corpus: 3 papers; trusts 24 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 68 citations into it
- Computer Graphics and Computer-Aided Design — 21 citations into it
- 3D Vision & Pose — 13 citations into it
Whom Mathias Unberath trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick (in Computer Vision and Pattern Recognition)
- Ilya Sutskever (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Alex Krizhevsky (in Computer Vision and Pattern Recognition)
- Jitendra Malik (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- David G. Lowe (in Computer Vision and Pattern Recognition)
- Trevor Darrell (in Computer Vision and Pattern Recognition)
- Geoffrey E. Hinton (in Computer Vision and Pattern Recognition)
Papers from Mathias Unberath's perspective
Ordered by how strongly the researchers Mathias Unberath trusts endorse each paper. Same corpus, a different order for every researcher.
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Densely Connected Convolutional Networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Fast R-CNN
- An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
Their papers
- Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers (2020) — 394 citations
- Neuralangelo: High-Fidelity Neural Surface Reconstruction (2023) — 628 citations
- UI-Net: Interactive Artificial Neural Networks for Iterative Image Segmentation Based on a User Model (2017) — 37 citations