Wael AbdAlmageed

Computer Vision and Pattern Recognition · 2017–2021

A researcher in the Science corpus: 10 papers; trusts 769 researchers and is trusted by 7 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 243 citations into it; #10,209 of 21,575 by trust here, #6,737 by citations
• Artificial Intelligence — 100 citations into it
• Signal Processing — 57 citations into it
• Generative Models — 50 citations into it
• Representation & Self-Supervised Learning — 28 citations into it
• Media Technology — 23 citations into it; #2,146 of 3,621 by trust here, #2,820 by citations
• Safety, Robustness & Interpretability — 23 citations into it
• Model Architectures — 20 citations into it

Whom Wael AbdAlmageed trusts overall

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

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

Who trusts Wael AbdAlmageed overall

1. Luisa Verdoliva
2. Ayush Jaiswal
3. Kiran Garimella
4. Adam R. Kosiorek
5. Kaede Shiohara
6. Chengbo Dong
7. Xuefeng Hu

Papers from Wael AbdAlmageed's perspective

Ordered by how strongly the researchers Wael AbdAlmageed 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. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Learning Multiple Layers of Features from Tiny Images

Their papers

• Recurrent Convolutional Strategies for Face Manipulation Detection in Videos (2019) — 581 citations
• CapsuleGAN: Generative Adversarial Capsule Network (2018) — 169 citations
• Two-branch Recurrent Network for Isolating Deepfakes in Videos (2020) — 489 citations
• Bidirectional Conditional Generative Adversarial Networks (2017) — 42 citations
• ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features (2019) — 655 citations
• Unsupervised Adversarial Invariance (2018) — 52 citations
• Detection and Continual Learning of Novel Face Presentation Attacks (2021) — 56 citations
• Multispectral Biometrics System Framework: Application to Presentation Attack Detection (2020) — 15 citations
• Invariant Representations through Adversarial Forgetting (2019) — 47 citations
• Learning Pose-Aware Models for Pose-Invariant Face Recognition in the Wild (2019) — 102 citations