Jae-Seok Choi
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 2 papers; trusts 308 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 60 citations into it; #14,145 of 21,575 by trust here, #5,333 by citations
- Media Technology — 38 citations into it; #2,170 of 3,621 by trust here, #392 by citations
- Artificial Intelligence — 10 citations into it
- Computational Mechanics — 7 citations into it
- Evaluation & Benchmarks — 6 citations into it
- Model Architectures — 5 citations into it
Whom Jae-Seok Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Radu Timofte
- Kaiming He
- Raanan Fattal
- Alex Krizhevsky
- Geoffrey E. Hinton
- Andrea Vedaldi
- Ilya Sutskever
- Luc Van Gool
- X. Zhang
- Ross B. Girshick
Who trusts Jae-Seok Choi overall
Papers from Jae-Seok Choi's perspective
Ordered by how strongly the researchers Jae-Seok Choi 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)
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results (2017) — 1,901 citations
- A Deep Convolutional Neural Network with Selection Units for Super-Resolution (2017) — 128 citations