Jamil Ahmad

Computer Vision and Pattern Recognition · IEEE Access · 2017–2019

A researcher in the Science corpus: 5 papers; trusts 149 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 61 citations into it; #12,565 of 21,575 by trust here, #11,498 by citations
• Artificial Intelligence — 34 citations into it
• Safety, Risk, Reliability and Quality — 18 citations into it; #467 of 1,220 by trust here, #508 by citations
• Electrical and Electronic Engineering — 12 citations into it
• Model Architectures — 12 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Jamil Ahmad trusts overall

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

1. Alex Krizhevsky
2. Geoffrey E. Hinton
3. Ilya Sutskever
4. Yangqing Jia
5. Jia Deng
6. Alex Graves
7. Yoshua Bengio
8. Yann LeCun
9. Ross B. Girshick
10. Kaiming He

Who trusts Jamil Ahmad overall

1. Panagiotis Barmpoutis
2. Khan Muhammad
3. Guoli Zhang
4. T. Kim
5. Seunghyun Yoon
6. Periklis Papaioannou
7. Zehua Sun
8. Taiba Maijd Wani
9. Asifullah Khan

Papers from Jamil Ahmad's perspective

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

Their papers

• Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features (2018) — 672 citations
• Efficient Deep CNN-Based Fire Detection and Localization in Video Surveillance Applications (2019) — 428 citations
• Convolutional Neural Networks Based Fire Detection in Surveillance Videos (2018) — 448 citations
• Speech Emotion Recognition from Spectrograms with Deep Convolutional Neural Network (2017) — 358 citations
• Early fire detection using convolutional neural networks during surveillance for effective disaster management (2017) — 461 citations