Korsuk Sirinukunwattana
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 4 papers; trusts 5 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it; #20,221 of 21,575 by trust here, #7,340 by citations
- Artificial Intelligence — 48 citations into it; #32,946 of 35,345 by trust here, #3,687 by citations
- Statistics and Probability — 10 citations into it
- Representation & Self-Supervised Learning — 5 citations into it
Whom Korsuk Sirinukunwattana trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Radford M. Neal
- Geoffrey E. Hinton
- Ilya Sutskever
- Andrea Vedaldi
- Dan Claudiu Ciresan
- David J. Hand
- Nitish Srivastava
- Yoshua Bengio
- Yann LeCun
Who trusts Korsuk Sirinukunwattana overall
- Anant Madabhushi
- Andrew Janowczyk
- Chetan L. Srinidhi
- Fanjie Kong
- Simon Graham
- Fuyong Xing
- Peter Naylor
- Hao Chen
- Justin Ker
- S. H. Shabbeer Basha
Papers from Korsuk Sirinukunwattana's perspective
Ordered by how strongly the researchers Korsuk Sirinukunwattana 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
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Going deeper with convolutions
- Long Short-Term Memory
Their papers
- Diagnostic Assessment of Deep Learning Algorithms for Detection of Lymph Node Metastases in Women With Breast Cancer (2017) — 3,174 citations
- Locality Sensitive Deep Learning for Detection and Classification of Nuclei in Routine Colon Cancer Histology Images (2016) — 1,147 citations
- Why rankings of biomedical image analysis competitions should be interpreted with care (2018) — 393 citations
- Gland segmentation in colon histology images: The glas challenge contest (2016) — 1,012 citations