Yuan-Hong Liao
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 80 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 41 citations into it; #18,067 of 21,575 by trust here, #11,286 by citations
- Artificial Intelligence — 35 citations into it; #29,379 of 35,345 by trust here, #10,667 by citations
- Safety, Robustness & Interpretability — 9 citations into it
Whom Yuan-Hong Liao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Yoshua Bengio
- Diederik P. Kingma
- Alex Krizhevsky
- Ilya Sutskever
- Kyunghyun Cho
- Yann LeCun
- Christian Szegedy
- Ian J. Goodfellow
Who trusts Yuan-Hong Liao overall
Papers from Yuan-Hong Liao's perspective
Ordered by how strongly the researchers Yuan-Hong Liao 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Sequence to Sequence Learning with Neural Networks (Neural Information Processing Systems)
- Going deeper with convolutions
Their papers
- Tactics of Adversarial Attack on Deep Reinforcement Learning Agents (2017) — 474 citations
- Synthesizing Environment-Aware Activities via Activity Sketches (2019) — 44 citations
- Leveraging Video Descriptions to Learn Video Question Answering (2016) — 195 citations