Amin Ullah
Computer Vision and Pattern Recognition · 2018–2020
A researcher in the Science corpus: 4 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 31 citations into it
- Artificial Intelligence — 15 citations into it
Whom Amin Ullah trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Alex Graves
- Geoffrey E. Hinton
- Mubarak Shah
- Ilya Sutskever
- Alper Yilmaz
- Jia Deng
- J. Urgen Schmidhuber
- K. Soomro
- Jingen Liu
Who trusts Amin Ullah overall
- T. Kim
- Zehua Sun
- Asifullah Khan
- Sze‐Teng Liong
- Khan Muhammad
- Xinyu Li
- Sung-Bae Cho
- Jun Liu
- Anabia Sohail
Papers from Amin Ullah's perspective
Ordered by how strongly the researchers Amin Ullah 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
Their papers
- Multi-grade brain tumor classification using deep CNN with extensive data augmentation (2019) — 782 citations
- Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features (2018) — 672 citations
- Deep Learning for Safe Autonomous Driving: Current Challenges and Future Directions (2020) — 595 citations
- A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting (2020) — 430 citations