Zhiqiang Tao
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 3 papers; trusts 639 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 117 citations into it; #17,511 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 83 citations into it; #28,569 of 35,345 by trust here, #27,551 by citations
- Natural Language Processing — 52 citations into it
- Multimodal Learning — 42 citations into it
- Model Architectures — 17 citations into it
- Evaluation & Benchmarks — 14 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
- Biomedical Engineering — 6 citations into it
Whom Zhiqiang Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Ilya Sutskever
- Yoshua Bengio
- Alex Krizhevsky
- Diederik P. Kingma
- Kaiming He
- Alex Graves
- Oriol Vinyals
- Yann LeCun
- Ross B. Girshick
Who trusts Zhiqiang Tao overall
Papers from Zhiqiang Tao's perspective
Ordered by how strongly the researchers Zhiqiang Tao 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Visual to Text: Survey of Image and Video Captioning (2019) — 106 citations
- Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit (2019) — 21 citations
- Deep Sequential Context Networks for Action Prediction (2017) — 173 citations