Tahmida Binte Mahmud
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 1 paper; trusts 183 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 21 citations into it; #13,207 of 21,575 by trust here, #17,258 by citations
- Artificial Intelligence — 13 citations into it; #21,312 of 35,345 by trust here, #26,682 by citations
- Model Architectures — 5 citations into it
- Optimization & Training — 5 citations into it
Whom Tahmida Binte Mahmud trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Ivan Laptev
- Alex Krizhevsky
- Sepp Hochreiter
- Ilya Sutskever
- Yoshua Bengio
- Navneet Dalal
- Timothy Dozat
- Kaiming He
Who trusts Tahmida Binte Mahmud overall
Papers from Tahmida Binte Mahmud's perspective
Ordered by how strongly the researchers Tahmida Binte Mahmud 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Joint Prediction of Activity Labels and Starting Times in Untrimmed Videos (2017) — 90 citations