Dan Zhang
Computer Vision and Pattern Recognition · with Khoreva · 2018–2020
A researcher in the Science corpus: 2 papers; trusts 390 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 69 citations into it
- Generative Models — 52 citations into it; #1,380 of 1,956 by trust here, #1,549 by citations
- Artificial Intelligence — 27 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 12 citations into it
- Media Technology — 10 citations into it
- Biophysics — 7 citations into it
- Statistical and Nonlinear Physics — 6 citations into it
Whom Dan Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Diederik P. Kingma
- Geoffrey E. Hinton
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- Sebastian Nowozin
- Kaiming He
- Martín Arjovsky
- L. Eon Bottou
Who trusts Dan Zhang overall
Papers from Dan Zhang's perspective
Ordered by how strongly the researchers Dan Zhang 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- You Only Need Adversarial Supervision for Semantic Image Synthesis (2020) — 221 citations
- PA-GAN: Improving GAN Training by Progressive Augmentation (2018) — 24 citations