Won-Ki Jeong
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 26 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 17 citations into it
- Computational Mechanics — 13 citations into it; #8,000 of 10,001 by trust here, #5,157 by citations
- Radiology, Nuclear Medicine and Imaging — 11 citations into it; #2,145 of 3,265 by trust here, #2,127 by citations
- Biophysics — 8 citations into it
- Artificial Intelligence — 7 citations into it
- Generative Models — 5 citations into it
- Signal Processing — 5 citations into it
Whom Won-Ki Jeong trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Ingrid Daubechies
- Michael Lustig
- Gitta Kutyniok
- Diederik P. Kingma
- Matthew D. Zeiler
- David L. Donoho
- Tom Goldstein
- Saiprasad Ravishankar
Who trusts Won-Ki Jeong overall
Papers from Won-Ki Jeong's perspective
Ordered by how strongly the researchers Won-Ki Jeong trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Visualizing and Understanding Convolutional Networks
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Whole-brain serial-section electron microscopy in larval zebrafish (2017) — 327 citations
- Compressed Sensing MRI Reconstruction Using a Generative Adversarial Network With a Cyclic Loss (2017) — 588 citations