Bashir I. Morshed

Computer Vision and Pattern Recognition · 2023

A researcher in the Science corpus: 1 paper; trusts 293 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 141 citations into it
• Artificial Intelligence — 124 citations into it
• Efficiency & Compression — 73 citations into it
• Electrical and Electronic Engineering — 39 citations into it
• Model Architectures — 33 citations into it
• Optimization & Training — 18 citations into it
• Computer Networks and Communications — 17 citations into it

Whom Bashir I. Morshed trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Geoffrey E. Hinton
2. Alex Krizhevsky
3. Yoshua Bengio
4. Kaiming He
5. Yann LeCun
6. Ilya Sutskever
7. Song Han
8. Diederik P. Kingma
9. Karen Simonyan
10. Ross B. Girshick

Papers from Bashir I. Morshed's perspective

Ordered by how strongly the researchers Bashir I. Morshed trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Attention is All you Need (Neural Information Processing Systems)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Efficient Acceleration of Deep Learning Inference on Resource-Constrained Edge Devices: A Review (2023) — 361 citations