Jocelyn C. Adams
Computer Vision and Pattern Recognition · 2017–2018
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 — 23 citations into it
Whom Jocelyn C. Adams trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jocelyn C. Adams overall
Papers from Jocelyn C. Adams's perspective
Ordered by how strongly the researchers Jocelyn C. Adams trusts endorse each paper. Same corpus, a different order for every researcher.
- 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
- Going deeper with convolutions
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- IARPA Janus Benchmark-B Face Dataset (2017) — 482 citations
- IARPA Janus Benchmark - C: Face Dataset and Protocol (2018) — 701 citations