Maryam Ziaeefard
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 2 papers; trusts 236 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it; #18,718 of 21,575 by trust here, #14,151 by citations
- Artificial Intelligence — 38 citations into it; #30,495 of 35,345 by trust here, #21,316 by citations
- Multimodal Learning — 11 citations into it; #1,004 of 1,211 by trust here, #1,076 by citations
- Biomedical Engineering — 10 citations into it
- Natural Language Processing — 7 citations into it
Whom Maryam Ziaeefard trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Kaiming He
- Yoshua Bengio
- Diederik P. Kingma
- Ross B. Girshick
- Li Fei-Fei
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
Who trusts Maryam Ziaeefard overall
Papers from Maryam Ziaeefard's perspective
Ordered by how strongly the researchers Maryam Ziaeefard 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)
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- ConceptBert: Concept-Aware Representation for Visual Question Answering (2020) — 203 citations
- Semantic human activity recognition: A literature review (2015) — 226 citations