Parimala Kancharla

Computer Vision and Pattern Recognition · 2019

A researcher in the Science corpus: 1 paper; trusts 76 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 16 citations into it
• Generative Models — 16 citations into it
• Artificial Intelligence — 5 citations into it

Whom Parimala Kancharla trusts overall

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

1. Individualized Treat
2. Zhou Wang
3. Adam Coates
4. Tero Karras
5. Geoffrey E. Hinton
6. Tim Salimans
7. Anish Mittal
8. Alex Krizhevsky
9. Takeru Miyato
10. Diederik P. Kingma

Who trusts Parimala Kancharla overall

1. Dongjun Kim
2. Seungjae Shin

Papers from Parimala Kancharla's perspective

Ordered by how strongly the researchers Parimala Kancharla 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. ImageNet: A large-scale hierarchical image database
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet Large Scale Visual Recognition Challenge
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Quality Aware Generative Adversarial Networks (2019) — 29 citations