Byeongsu Sim
Computer Vision and Pattern Recognition · 2021–2022
A researcher in the Science corpus: 2 papers; trusts 226 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 47 citations into it
- Generative Models — 42 citations into it
- Artificial Intelligence — 15 citations into it
- Statistical and Nonlinear Physics — 14 citations into it; #5,100 of 10,127 by trust here, #4,281 by citations
- Signal Processing — 8 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Biophysics — 5 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
Whom Byeongsu Sim trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yang Song
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Yann LeCun
- Stefano Ermon
- Prafulla Dhariwal
- Jimmy Ba
Who trusts Byeongsu Sim overall
- Hyungjin Chung
- Amirhossein Kazerouni
- Hanqun Cao
- Zongsheng Yue
- Ye Yuan
- Zhijun Liu
- Valentin De Bortoli
- Kai Zhang
- Jeongsol Kim
- Jong Chul Ye
Papers from Byeongsu Sim's perspective
Ordered by how strongly the researchers Byeongsu Sim 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS