Jong-Chyi Su
Computer Vision and Pattern Recognition · 2016–2019
A researcher in the Science corpus: 2 papers; trusts 1,008 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 104 citations into it
- Artificial Intelligence — 82 citations into it
- Representation & Self-Supervised Learning — 63 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Meta & Continual Learning — 6 citations into it
- Optimization & Training — 6 citations into it
- Model Architectures — 5 citations into it
- Signal Processing — 5 citations into it
Whom Jong-Chyi Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Ross B. Girshick
- Diederik P. Kingma
- Yoshua Bengio
- Andrew Zisserman
- Yann LeCun
- Ilya Sutskever
Who trusts Jong-Chyi Su overall
Papers from Jong-Chyi Su's perspective
Ordered by how strongly the researchers Jong-Chyi Su 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)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- When Does Self-supervision Improve Few-shot Learning? (2019) — 190 citations
- Adapting Models to Signal Degradation using Distillation (2016) — 32 citations