Mingtao Pei
Computer Vision and Pattern Recognition · 2011–2015
A researcher in the Science corpus: 3 papers; trusts 42 researchers and is trusted by 30 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it; #5,031 of 21,575 by trust here, #8,502 by citations
- Artificial Intelligence — 9 citations into it; #30,572 of 35,345 by trust here, #23,077 by citations
- Representation & Self-Supervised Learning — 6 citations into it
- Human-Computer Interaction — 5 citations into it
Whom Mingtao Pei trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yuri A. Ivanov
- Zhangzhang Si
- Geoffrey E. Hinton
- Jay Earley
- Yann LeCun
- Aaron F. Bobick
- Alex Krizhevsky
- Song-Chun Zhu
- Yoshua Bengio
- Ilya Sutskever
Who trusts Mingtao Pei overall
- Amy Sue Fire
- Song-Chun Zhu
- Jiang Wang
- Yipin Zhou
- Minh Hoai Nguyen
- Keze Wang
- Liang Lin
- Jacob Walker
- He Wang
- Jiyang Gao
Papers from Mingtao Pei's perspective
Ordered by how strongly the researchers Mingtao Pei trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Distinctive Image Features from Scale-Invariant Keypoints
Their papers
- Parsing video events with goal inference and intent prediction (2011) — 164 citations
- Unsupervised learning of event AND-OR grammar and semantics from video (2011) — 96 citations
- Vehicle Type Classification Using a Semisupervised Convolutional Neural Network (2015) — 348 citations