Isao Echizen
Computer Vision and Pattern Recognition · 2013–2019
A researcher in the Science corpus: 7 papers; trusts 243 researchers and is trusted by 90 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 59 citations into it; #3,186 of 21,575 by trust here, #4,088 by citations
- Artificial Intelligence — 53 citations into it; #14,755 of 35,345 by trust here, #12,974 by citations
- Natural Language Processing — 21 citations into it
- Model Architectures — 17 citations into it
- Signal Processing — 16 citations into it; #6,491 of 7,572 by trust here, #4,900 by citations
- Generative Models — 11 citations into it; #1,696 of 1,956 by trust here, #1,549 by citations
- Large Language Models — 11 citations into it
- Safety, Robustness & Interpretability — 10 citations into it; #813 of 2,251 by trust here, #957 by citations
Whom Isao Echizen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Diederik P. Kingma
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Ilya Sutskever
- Andrew Zisserman
- Davide Cozzolino
- Jimmy Ba
- Yann LeCun
Who trusts Isao Echizen overall
- Luisa Verdoliva
- Yuezun Li
- Thanh Thi Nguyen
- Huy Hoang Le Nguyen
- Sohail Ahmed Khan
- Yong Zhang
- Iacopo Masi
- Xin Yang
- Davide Cozzolino
- Trisha Mittal
Papers from Isao Echizen's perspective
Ordered by how strongly the researchers Isao Echizen 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)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Going deeper with convolutions
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- MesoNet: a Compact Facial Video Forgery Detection Network (2018) — 1,740 citations
- Multi-task Learning for Detecting and Segmenting Manipulated Facial Images and Videos (2019) — 522 citations
- Distinguishing computer graphics from natural images using convolution neural networks (2017) — 309 citations
- Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection (2019) — 148 citations
- High-Quality Nonparallel Voice Conversion Based on Cycle-Consistent Adversarial Network (2018) — 144 citations
- Capsule-forensics: Using Capsule Networks to Detect Forged Images and Videos (2018) — 803 citations
- Privacy Visor: Method Based on Light Absorbing and Reflecting Properties for Preventing Face Image Detection (2013) — 24 citations