Jaehoon Choi
Computer Vision and Pattern Recognition · with Kim · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 409 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 58 citations into it; #11,865 of 21,575 by trust here, #12,992 by citations
- Artificial Intelligence — 29 citations into it; #18,919 of 35,345 by trust here, #23,077 by citations
- Generative Models — 19 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Evaluation & Benchmarks — 7 citations into it
Whom Jaehoon Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
- Andrew Zisserman
Who trusts Jaehoon Choi overall
Papers from Jaehoon Choi's perspective
Ordered by how strongly the researchers Jaehoon Choi 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
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- GENERATIVE ADVERSARIAL NETS
Their papers
- Large-Scale 3D Shape Reconstruction and Segmentation from ShapeNet Core55 (2017) — 70 citations
- Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation (2019) — 266 citations