Harini Veeraraghavan

Computer Vision and Pattern Recognition · 2015–2020

A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 27 citations into it
• Artificial Intelligence — 21 citations into it

Whom Harini Veeraraghavan trusts overall

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

1. Gary M. Weiss

Papers from Harini Veeraraghavan's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
3. GENERATIVE ADVERSARIAL NETS
4. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. Identity Mappings in Deep Residual Networks
8. Gradient-based learning applied to document recognition
9. AUTO-ENCODING VARIATIONAL BAYES
10. Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Their papers

• Self-derived organ attention for unpaired CT-MRI deep domain adaptation based MRI segmentation (2020) — 13 citations
• Tumor-Aware, Adversarial Domain Adaptation from CT to MRI for Lung Cancer Segmentation (2018) — 200 citations
• Automatic classification of prostate cancer Gleason scores from multiparametric magnetic resonance images (2015) — 356 citations