Sam S. Tsai
Computer Vision and Pattern Recognition · 2011–2019
A researcher in the Science corpus: 3 papers; trusts 145 researchers and is trusted by 16 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it; #7,412 of 21,575 by trust here, #11,721 by citations
- Artificial Intelligence — 16 citations into it
- Aerospace Engineering — 12 citations into it; #5,788 of 6,421 by trust here, #5,172 by citations
- Model Architectures — 11 citations into it
Whom Sam S. Tsai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- David Nistér
- Simon M. M. Lucas
- Kaiming He
- Andrew Zisserman
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Ross B. Girshick
- Herbert Bay
Who trusts Sam S. Tsai overall
- Max Jaderberg
- Andrew Zisserman
- Yingying Zhu
- Cong Yao
- Arsha Nagrani
- Joon Son Chung
- Andrea Vedaldi
- Lluís Gómez
- Ouais Alsharif
- Relja Arandjelovi'c
Papers from Sam S. Tsai's perspective
Ordered by how strongly the researchers Sam S. Tsai 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
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Residual Enhanced Visual Vectors for on-device image matching (2011) — 46 citations
- Robust text detection in natural images with edge-enhanced Maximally Stable Extremal Regions (2011) — 494 citations
- Efficient Segmentation: Learning Downsampling Near Semantic Boundaries (2019) — 109 citations