Gunnar A. Sigurdsson
Computer Vision and Pattern Recognition · 2016–2020
A researcher in the Science corpus: 5 papers; trusts 786 researchers and is trusted by 1,018 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 157 citations into it; #1,345 of 21,575 by trust here, #2,814 by citations
- Artificial Intelligence — 94 citations into it; #4,885 of 35,345 by trust here, #4,316 by citations
- Natural Language Processing — 25 citations into it
- Biomedical Engineering — 14 citations into it
- Model Architectures — 9 citations into it
- Media Technology — 5 citations into it
Whom Gunnar A. Sigurdsson trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Kaiming He
- Ilya Sutskever
- Ross B. Girshick
- Ivan Laptev
- Yoshua Bengio
- Diederik P. Kingma
Who trusts Gunnar A. Sigurdsson overall
- Christoph Feichtenhofer
- Rohit Girdhar
- Abhinav Kumar Gupta
- Bolei Zhou
- X. Wang
- Humam Alwassel
- Kristen Grauman
- Dima Damen
- Deva Ramanan
- Olga Russakovsky
Papers from Gunnar A. Sigurdsson's perspective
Ordered by how strongly the researchers Gunnar A. Sigurdsson 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Hollywood in Homes: Crowdsourcing Data Collection for Activity Understanding (2016) — 1,422 citations
- Asynchronous Temporal Fields for Action Recognition (2016) — 173 citations
- Charades-Ego: A Large-Scale Dataset of Paired Third and First Person Videos (2018) — 212 citations
- What Actions are Needed for Understanding Human Actions in Videos? (2017) — 137 citations
- Visual Grounding in Video for Unsupervised Word Translation (2020) — 52 citations