Harman S. Suri
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it
- Artificial Intelligence — 63 citations into it
Whom Harman S. Suri trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Harman S. Suri's perspective
Ordered by how strongly the researchers Harman S. Suri trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- This PDF file includes: Materials and Methods
- A Fast Learning Algorithm for Deep Belief Nets
- Long Short-Term Memory
- Rethinking the Inception Architecture for Computer Vision
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- A Review on a Deep Learning Perspective in Brain Cancer Classification (2019) — 395 citations
- State-of-the-art review on deep learning in medical imaging. (2019) — 184 citations
- The present and future of deep learning in radiology. (2019) — 313 citations