Sim Heng Ong
Computer Vision and Pattern Recognition · 2006–2019
A researcher in the Science corpus: 4 papers; trusts 232 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 70 citations into it; #8,909 of 21,575 by trust here, #10,154 by citations
- Computational Mechanics — 7 citations into it
Whom Sim Heng Ong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ross B. Girshick
- Kaiming He
- Karen Simonyan
- Geoffrey E. Hinton
- Alex Krizhevsky
- Leo J. Grady
- Andrew Zisserman
- Yuri Boykov
- Shaoqing Ren
- Yann LeCun
Who trusts Sim Heng Ong overall
Papers from Sim Heng Ong's perspective
Ordered by how strongly the researchers Sim Heng Ong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Regional Interactive Image Segmentation Networks (2017) — 158 citations
- MultiSeg: Semantically Meaningful, Scale-Diverse Segmentations From Minimal User Input (2019) — 40 citations
- Integrating spatial fuzzy clustering with level set methods for automated medical image segmentation (2011) — 465 citations
- Medical Image Segmentation Using K-Means Clustering and Improved Watershed Algorithm (2006) — 490 citations