Taesung Kwon
Computer Vision and Pattern Recognition · 2021
A researcher in the Science corpus: 1 paper; trusts 340 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 56 citations into it; #16,973 of 21,575 by trust here, #12,172 by citations
- Generative Models — 47 citations into it
- Artificial Intelligence — 14 citations into it
- Probabilistic & Bayesian Methods — 7 citations into it
- Statistical and Nonlinear Physics — 7 citations into it
- Signal Processing — 6 citations into it
- Biophysics — 5 citations into it
- Computer Graphics and Computer-Aided Design — 5 citations into it
Whom Taesung Kwon trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Tero Karras
- Yoshua Bengio
- Yann LeCun
- Ross B. Girshick
- Ilya Sutskever
- Karen Simonyan
Who trusts Taesung Kwon overall
Papers from Taesung Kwon's perspective
Ordered by how strongly the researchers Taesung Kwon 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
- Attention is All you Need (Neural Information Processing Systems)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
Their papers
- DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation (2021) — 900 citations