Gagandeep B. Daroach

Computer Vision and Pattern Recognition · 2021

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 6 citations into it
• Generative Models — 6 citations into it

Whom Gagandeep B. Daroach trusts overall

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

1. Tero Karras
2. Samuli Laine
3. Timo Aila
4. Martin Heusel
5. Salome Kazeminia
6. Miika Aittala
7. Jaakko Lehtinen
8. Diederik P. Kingma
9. Geoffrey E. Hinton
10. Janne Hellsten

Papers from Gagandeep B. Daroach's perspective

Ordered by how strongly the researchers Gagandeep B. Daroach 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. Learning Multiple Layers of Features from Tiny Images
4. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Going deeper with convolutions
7. Gradient-based learning applied to document recognition
8. GENERATIVE ADVERSARIAL NETS
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• High-resolution Controllable Prostatic Histology Synthesis using StyleGAN (2021)