Martin R. Oswald

Computer Vision and Pattern Recognition · 2014–2021

A researcher in the Science corpus: 4 papers; trusts 143 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 76 citations into it; #16,509 of 21,575 by trust here, #10,677 by citations
• Aerospace Engineering — 43 citations into it; #5,987 of 6,421 by trust here, #2,509 by citations
• Computer Graphics and Computer-Aided Design — 36 citations into it
• 3D Vision & Pose — 26 citations into it
• Computational Mechanics — 23 citations into it
• Geology — 14 citations into it

Whom Martin R. Oswald trusts overall

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

1. Thomas Pock
2. William E. Lorensen
3. Daniel Cremers
4. Yuri Boykov
5. Carlos Hernández Esteban
6. Michal Jancosek
7. Kalin S. Kolev
8. Christopher Zach
9. Antonin Chambolle
10. Sara Alexandra Gomes Vicente

Who trusts Martin R. Oswald overall

1. João Carreira
2. Pablo Speciale
3. Xiaoling Hu
4. Angela Dai
5. Suprosanna Shit
6. Fuxin Li
7. Sara Alexandra Gomes Vicente
8. Bo Yang
9. Lourdes de Agapito

Papers from Martin R. Oswald's perspective

Ordered by how strongly the researchers Martin R. Oswald trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
7. Long Short-Term Memory
8. ImageNet Large Scale Visual Recognition Challenge
9. Attention is All you Need (Neural Information Processing Systems)
10. Distinctive Image Features from Scale-Invariant Keypoints

Their papers

• NICE-SLAM: Neural Implicit Scalable Encoding for SLAM (2021) — 1,063 citations
• Generalized Connectivity Constraints for Spatio-temporal 3D Reconstruction (2014) — 45 citations
• Multi-Label Semantic 3D Reconstruction Using Voxel Blocks (2016) — 50 citations
• A Symmetry Prior for Convex Variational 3D Reconstruction (2016) — 67 citations