Jonghyun Choi
Computer Vision and Pattern Recognition · with Davis · 2014–2020
A researcher in the Science corpus: 4 papers; trusts 563 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 126 citations into it; #13,924 of 21,575 by trust here, #5,422 by citations
- Artificial Intelligence — 87 citations into it; #26,714 of 35,345 by trust here, #8,007 by citations
- Natural Language Processing — 23 citations into it
- Model Architectures — 16 citations into it
- Evaluation & Benchmarks — 15 citations into it
- Signal Processing — 15 citations into it
- Multimodal Learning — 14 citations into it; #1,099 of 1,211 by trust here, #667 by citations
- Optimization & Training — 10 citations into it
Whom Jonghyun Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Ilya Sutskever
- Karen Simonyan
- Yann LeCun
- Diederik P. Kingma
- Ross B. Girshick
- Andrew Zisserman
Who trusts Jonghyun Choi overall
- Changxing Ding
- Trong-Nguyen Nguyen
- Waqas Sultani
- Weixin Luo
- Jianfeng Feng
- Hyunjong Park
- Dilip Ravi Kiran
- Samet Akcay
- Dacheng Tao
- Radu Tudor Ionescu
Papers from Jonghyun Choi's perspective
Ordered by how strongly the researchers Jonghyun 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
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension (2017) — 387 citations
- Learning Temporal Regularity in Video Sequences (2016) — 1,362 citations
- Multi-Directional Multi-Level Dual-Cross Patterns for Robust Face Recognition (2014) — 360 citations
- Confidence Calibration for Incremental Learning (2020) — 3 citations