Hongsuk Choi
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 313 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it; #13,805 of 21,575 by trust here, #15,955 by citations
- Artificial Intelligence — 14 citations into it
- Human-Computer Interaction — 12 citations into it
- Computational Mechanics — 11 citations into it
- 3D Vision & Pose — 10 citations into it
- Control and Systems Engineering — 8 citations into it
- Graph Learning — 6 citations into it
Whom Hongsuk Choi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Georgios Pavlakos
- Geoffrey E. Hinton
- Michael J. Black
- Alex Krizhevsky
- Ross B. Girshick
- Yann LeCun
- Diederik P. Kingma
- Yoshua Bengio
- Bin Xiao
Who trusts Hongsuk Choi overall
- Kevin Qinghong Lin
- Lijuan Wang
- Muhammed Kocabas
- Wenjie Zhu
- Jiefeng Li
- Hongwen Zhang
- Zicheng Liu
- Chun-Hao Paul Huang
- Xiaoxuan Ma
- Gyeongsik Moon
Papers from Hongsuk Choi's perspective
Ordered by how strongly the researchers Hongsuk 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
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)