Ganapathy Krishnamurthi

Computer Vision and Pattern Recognition · 2018

A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 44 citations into it; #17,832 of 21,575 by trust here, #18,266 by citations
• Artificial Intelligence — 16 citations into it
• Model Architectures — 9 citations into it
• Optimization & Training — 6 citations into it

Whom Ganapathy Krishnamurthi trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Olaf Ronneberger
2. Kaiming He
3. Gao Huang

Who trusts Ganapathy Krishnamurthi overall

1. Weihao Weng

Papers from Ganapathy Krishnamurthi's perspective

Ordered by how strongly the researchers Ganapathy Krishnamurthi trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. Going deeper with convolutions
3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
4. ImageNet classification with deep convolutional neural networks
5. Fully convolutional networks for semantic segmentation
6. Gradient-based learning applied to document recognition
7. Densely Connected Convolutional Networks
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. Attention is All you Need (Neural Information Processing Systems)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Fully convolutional multi‐scale residual DenseNets for cardiac segmentation and automated cardiac diagnosis using ensemble of classifiers (2018) — 351 citations
• Deep Learning Techniques for Automatic MRI Cardiac Multi-Structures Segmentation and Diagnosis: Is the Problem Solved? (2018) — 2,285 citations