Sebastian Bosse
Computer Vision and Pattern Recognition · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 63 researchers and is trusted by 8 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 50 citations into it; #10,709 of 21,575 by trust here, #11,286 by citations
- Media Technology — 28 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Artificial Intelligence — 6 citations into it
Whom Sebastian Bosse trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Yann LeCun
- Ross B. Girshick
- Diederik P. Kingma
- Lin Zhang
- Nikolay N. Ponomarenko
- Zhou Wang
- Karen Simonyan
- Geoffrey E. Hinton
- Anush K. Moorthy
Who trusts Sebastian Bosse overall
- Weixia Zhang
- Kede Ma
- Ekta Prashnani
- Simon Wiedemann
- Jianyi Wang
- S. Alireza Golestaneh
- Weihao Xia
- K. Müller
- Keyan Ding
- Han Xu
Papers from Sebastian Bosse's perspective
Ordered by how strongly the researchers Sebastian Bosse trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Deep Neural Networks for No-Reference and Full-Reference Image Quality Assessment (2016) — 1,192 citations
- A Haar wavelet-based perceptual similarity index for image quality assessment (2016) — 322 citations
- 3D High-Efficiency Video Coding for Multi-View Video and Depth Data (2013) — 374 citations