Hathiram Nenavath

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 12 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 8 citations into it
• Media Technology — 5 citations into it

Whom Hathiram Nenavath trusts overall

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

1. Kaiming He
2. Robby T. Tan
3. Mohinder Malhotra

Papers from Hathiram Nenavath's perspective

Ordered by how strongly the researchers Hathiram Nenavath 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Attention is All you Need (Neural Information Processing Systems)
6. Going deeper with convolutions
7. ImageNet: A large-scale hierarchical image database
8. ImageNet Large Scale Visual Recognition Challenge
9. Long Short-Term Memory
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• Fast and memory efficient de-hazing technique for real-time computer vision applications (2020) — 5 citations