Jongyoul Park
Computer Vision and Pattern Recognition · 2019
A researcher in the Science corpus: 3 papers; trusts 785 researchers and is trusted by 35 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 82 citations into it; #4,547 of 21,575 by trust here, #7,249 by citations
- Artificial Intelligence — 37 citations into it; #8,245 of 35,345 by trust here, #14,181 by citations
- Model Architectures — 17 citations into it
- Generative Models — 13 citations into it
- Efficiency & Compression — 9 citations into it
Whom Jongyoul Park trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Geoffrey E. Hinton
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Karen Simonyan
- Piotr Doll'ar
- Ilya Sutskever
Who trusts Jongyoul Park overall
- Weihao Xia
- Yingfei Liu
- Chien-Yao Wang
- Håkon Hukkelås
- C. Stringer
- Liang-Chieh Chen
- Yujiu Yang
- Rameen Abdal
- Lei Ke
- Zhi Tian
Papers from Jongyoul Park's perspective
Ordered by how strongly the researchers Jongyoul Park trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- 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)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- SC-FEGAN: Face Editing Generative Adversarial Network With User’s Sketch and Color (2019) — 327 citations
- CenterMask: Real-Time Anchor-Free Instance Segmentation (2019) — 666 citations
- An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection (2019) — 502 citations