Gopi Battineni

Computer Vision and Pattern Recognition · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 18 citations into it
• Artificial Intelligence — 17 citations into it

Whom Gopi Battineni trusts overall

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

1. Kilian Q. Weinberger
2. Lawrence K. Saul
3. S. Kotsiantis
4. Rahul C. Deo
5. S. Bini

Papers from Gopi Battineni's perspective

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

Their papers

• Generative adversarial network: An overview of theory and applications (2021) — 742 citations
• Applications of Machine Learning Predictive Models in the Chronic Disease Diagnosis (2020) — 313 citations