Jinsoo Choi
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 2 papers; trusts 419 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 54 citations into it
- Artificial Intelligence — 34 citations into it
- Natural Language Processing — 18 citations into it
- Multimodal Learning — 17 citations into it
- Representation & Self-Supervised Learning — 10 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Signal Processing — 9 citations into it
- Generative Models — 6 citations into it
Whom Jinsoo Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Jimmy Ba
- Andrew Zisserman
Who trusts Jinsoo Choi overall
Papers from Jinsoo Choi's perspective
Ordered by how strongly the researchers Jinsoo 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)
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- 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)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Image Captioning with Very Scarce Supervised Data: Adversarial Semi-Supervised Learning Approach (2019) — 61 citations
- Textually Customized Video Summaries (2017) — 12 citations