Hemal Naik
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 29 citations into it
Whom Hemal Naik trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Hemal Naik's perspective
Ordered by how strongly the researchers Hemal Naik trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet: A large-scale hierarchical image database
- ImageNet classification with deep convolutional neural networks
- GENERATIVE ADVERSARIAL NETS
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions