| Name | Description | Fields | Papers | GoogleScholar | Wiki | Website |
|---|---|---|---|---|---|---|
| Geoffrey Hinton | University of Toronto & Engineering Fellow, Google | Machine learning,Neural networks,Artificial intelligence,Cognitive science,Object recognition | Imagenet classification with deep convolutional neural networks, | GoogleScholar | Wiki | Website |
| Kunihiko Fukushima | Kyoto University | Artificial neural networks, Neocognitron, CNN architecture, Unsupervised learning, Deep learning | Neocognitron: A self-organizing neural network model for a mechanism of visual pattern recognition, | Wiki | ||
| Andrew Ng | Stanford University & Google Brain | Artificial intelligence, machine learning, natural language processing, computer vision | GoogleScholar | Wiki | Website | |
| Ian Goodfellow | Stanford University & Apple Inc. & Google Brain & OpenAI | Computer science, GAN | Conditional generative adversarial nets, | GoogleScholar | Wiki | Website |
| Yoshua Bengio | Université de Montréal | Deep learning, neural machine translation, generative adversarial networks,"attention model", word embeddings, denoising auto-encoders, neural language models, learning to learn | GoogleScholar | Wiki | Website | |
| Yann LeCun | New York University & Chief AI Scientist, Facebook | Deep learning | Deep Learning, Handwritten digit recognition with a back-propagation network, | GoogleScholar | Wiki | Website |
| Fei-Fei Li | Stanford University & Google | Computer vision,Machine learning,Artificial intelligence,Cognitive neuroscience | Imagenet: A large-scale hierarchical image database, | GoogleScholar | Wiki | Website |
| Author | Year | Name | Url | Description |
|---|---|---|---|---|
| Geoffrey Hinton et al. | 2012 | Imagenet classification with deep convolutional neural networks | paper | Imagenet classification with deep convolutional neural networks |
| Kunihiko Fukushima | 1980 | Neocognitron: A self-organizing neural network model for a mechanism of visual pattern recognition | paper | The original of convolutional neural networks |
| Ian Goodfellow et al. | 2014 | Conditional generative adversarial nets | paper | Generative adversarial nets(GAN) |
| Yann LeCun, Yoshua Bengio & Geoffrey Hinton | MAY,2015 | Deep Learning | paper | Deep Learning review |
| Papageorgiou et al. | 1998 | A General Framework for Object Detection | paper | Haar face detection |
| VIOLA & JONES | SEP,2001 | Robust Real-Time Face Detection | paper | Haar face detection real-time |
| Dalal & Triggs | Jun 2005 | Histograms of Oriented Gradients for Human Detection | paper | HOG Human Detection, CVPR 05 |
| Name | Url | Description |
|---|---|---|
| Stanford AI Lab | https://ai.stanford.edu/ | Stanford AI Lab |
| MIT CSAIL | https://www.csail.mit.edu/ | MIT AI Lab |
| GOOGLE AI | https://ai.google/ | GOOGLE AI |
| CMU CS | https://www.cs.cmu.edu/ | CMU CS |