Ghulam Mohiuddin Bhat

Computer Vision and Pattern Recognition · 2020

A researcher in the Science corpus: 1 paper; trusts 1,030 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 112 citations into it
• Artificial Intelligence — 54 citations into it
• Model Architectures — 20 citations into it
• Media Technology — 9 citations into it
• Aerospace Engineering — 8 citations into it
• Optimization & Training — 6 citations into it
• Biophysics — 5 citations into it
• Representation & Self-Supervised Learning — 5 citations into it

Whom Ghulam Mohiuddin Bhat trusts overall

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

1. Ross B. Girshick
2. Kaiming He
3. Alex Krizhevsky
4. Geoffrey E. Hinton
5. Yoshua Bengio
6. David G. Lowe
7. Shaoqing Ren
8. Yann LeCun
9. Ilya Sutskever
10. Karen Simonyan

Papers from Ghulam Mohiuddin Bhat's perspective

Ordered by how strongly the researchers Ghulam Mohiuddin Bhat 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Gradient-based learning applied to document recognition
6. Long Short-Term Memory
7. Attention is All you Need (Neural Information Processing Systems)
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Going deeper with convolutions
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• A survey on instance segmentation: state of the art (2020) — 527 citations