Mohammad Nahangi
Computer Vision and Pattern Recognition · 2015
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 20 citations into it
Whom Mohammad Nahangi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mohammad Nahangi's perspective
Ordered by how strongly the researchers Mohammad Nahangi trusts endorse each paper. Same corpus, a different order for every researcher.
- Distinctive Image Features from Scale-Invariant Keypoints
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Going deeper with convolutions
- Indoor Segmentation and Support Inference from RGBD Images
- ImageNet Large Scale Visual Recognition Challenge
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- State of research in automatic as-built modelling (2015) — 341 citations