Yu Liu
Computer Vision and Pattern Recognition · with Lew · 2016–2021
A researcher in the Science corpus: 2 papers; trusts 591 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 162 citations into it; #15,890 of 21,575 by trust here, #6,206 by citations
- Artificial Intelligence — 75 citations into it
- Representation & Self-Supervised Learning — 34 citations into it
- Optimization & Training — 16 citations into it
- Generative Models — 13 citations into it
- Biomedical Engineering — 10 citations into it
- Probabilistic & Bayesian Methods — 10 citations into it
- Meta & Continual Learning — 7 citations into it
Whom Yu Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Yoshua Bengio
- Alex Krizhevsky
- Yann LeCun
- Kaiming He
- Ross B. Girshick
- Ruslan Salakhutdinov
- Ilya Sutskever
- Diederik P. Kingma
- Christian Szegedy
Who trusts Yu Liu overall
Papers from Yu Liu's perspective
Ordered by how strongly the researchers Yu Liu 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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
- Lifelong Person Re-Identification via Adaptive Knowledge Accumulation (2021) — 121 citations
- Deep learning for visual understanding: A review (2016) — 2,298 citations