Seonghyeon Nam
Computer Vision and Pattern Recognition · 2016–2018
A researcher in the Science corpus: 2 papers; trusts 267 researchers and is trusted by 12 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 36 citations into it; #9,197 of 21,575 by trust here, #9,305 by citations
- Generative Models — 22 citations into it; #1,170 of 1,956 by trust here, #1,355 by citations
- Artificial Intelligence — 8 citations into it
- Media Technology — 7 citations into it; #1,905 of 3,621 by trust here, #1,923 by citations
Whom Seonghyeon Nam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Diederik P. Kingma
- Alex Krizhevsky
- Geoffrey E. Hinton
- Yann LeCun
- Ilya Sutskever
- Yoshua Bengio
- Kaiming He
- Christian Szegedy
- Andrew Zisserman
- Scott E. Reed
Who trusts Seonghyeon Nam overall
- Chunwei Tian
- Bowen Li
- Saeed Anwar
- Kai Zhang
- Tsu-Jui Fu
- Abdelrahman Abdelhamed
- Ke Xu
- Wangmeng Zuo
- Or Patashnik
- Meng Chang
Papers from Seonghyeon Nam's perspective
Ordered by how strongly the researchers Seonghyeon Nam 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)
- Long Short-Term Memory
- 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)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language (2018) — 225 citations
- A Holistic Approach to Cross-Channel Image Noise Modeling and Its Application to Image Denoising (2016) — 278 citations