Mohammed Yeasin
Computer Vision and Pattern Recognition · 2015–2020
A researcher in the Science corpus: 2 papers; trusts 415 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it
- Artificial Intelligence — 29 citations into it; #31,310 of 35,345 by trust here, #19,018 by citations
- Model Architectures — 9 citations into it
- Cognitive Neuroscience — 8 citations into it; #8,815 of 10,852 by trust here, #6,180 by citations
- Safety, Robustness & Interpretability — 8 citations into it
- Natural Language Processing — 7 citations into it
Whom Mohammed Yeasin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Kaiming He
- Yoshua Bengio
- Ilya Sutskever
- Yann LeCun
- Matthew D. Zeiler
- Andrew Zisserman
Who trusts Mohammed Yeasin overall
Papers from Mohammed Yeasin's perspective
Ordered by how strongly the researchers Mohammed Yeasin 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
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- Eigen-CAM: Class Activation Map using Principal Components (2020) — 554 citations
- Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks (2015) — 765 citations