Sarath Kodagoda

Computer Vision and Pattern Recognition · 2011–2016

A researcher in the Science corpus: 5 papers; trusts 148 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 35 citations into it; #16,992 of 21,575 by trust here, #17,757 by citations
• Cognitive Neuroscience — 18 citations into it; #8,571 of 10,852 by trust here, #7,600 by citations
• Artificial Intelligence — 11 citations into it
• 3D Vision & Pose — 6 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Sarath Kodagoda trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ross B. Girshick
4. Kaiming He
5. Evan Shelhamer
6. Ilya Sutskever
7. Yann LeCun
8. Bernard Walter Silverman
9. Yoshua Bengio
10. Witold Pedrycz

Who trusts Sarath Kodagoda overall

1. Lei Tai
2. Wei-Long Zheng
3. Arun Sahayadhas
4. Alex Kendall

Papers from Sarath Kodagoda's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Going deeper with convolutions
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Understand scene categories by objects: A semantic regularized scene classifier using Convolutional Neural Networks (2015) — 111 citations
• Toward improved control of prosthetic fingers using surface electromyogram (EMG) signals (2012) — 342 citations
• Parse geometry from a line: Monocular depth estimation with partial laser observation (2016) — 108 citations
• Consumer neuroscience: Assessing the brain response to marketing stimuli using electroencephalogram (EEG) and eye tracking (2013) — 457 citations
• Driver Drowsiness Classification Using Fuzzy Wavelet-Packet-Based Feature-Extraction Algorithm (2011) — 514 citations