Mark Boss

Computer Vision and Pattern Recognition · 2020–2024

A researcher in the Science corpus: 2 papers; trusts 35 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 62 citations into it
• Computer Graphics and Computer-Aided Design — 39 citations into it
• 3D Vision & Pose — 14 citations into it
• Artificial Intelligence — 9 citations into it

Whom Mark Boss trusts overall

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

1. Diederik P. Kingma
2. Johannes L. Schönberger
3. Jonathan T. Barron
4. Jimmy Ba
5. Geoffrey E. Hinton
6. Alex Krizhevsky
7. Kaiming He
8. Yoshua Bengio
9. M. Kazhdan
10. Zhengqin Li

Who trusts Mark Boss overall

1. Antoine Guédon
2. Sosuke Kobayashi
3. Michael Oechsle
4. Dor Verbin
5. Songyou Peng
6. Vikram S. Voleti
7. Vincent Lepetit
8. Lior Yariv
9. Peter Hedman
10. Jonathan T. Barron

Papers from Mark Boss's perspective

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

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

Their papers

• NeRD: Neural Reflectance Decomposition from Image Collections (2020) — 627 citations
• SV3D: Novel Multi-view Synthesis and 3D Generation from a Single Image using Latent Video Diffusion (2024) — 411 citations