Ashish Sharma
Computer Vision and Pattern Recognition · with Kurç · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it
Whom Ashish Sharma trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ashish Sharma's perspective
Ordered by how strongly the researchers Ashish Sharma trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- ImageNet Large Scale Visual Recognition Challenge
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Fully convolutional networks for semantic segmentation
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images