He Zhang
Computer Vision and Pattern Recognition · with Chen · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 24 citations into it
Whom He Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from He Zhang's perspective
Ordered by how strongly the researchers He Zhang trusts endorse each paper. Same corpus, a different order for every researcher.
- GENERATIVE ADVERSARIAL NETS
- Microsoft COCO: Common Objects in Context
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks
- Indoor Segmentation and Support Inference from RGBD Images
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Conditional Generative Adversarial Nets
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- FD-GAN: Generative Adversarial Networks with Fusion-discriminator for Single Image Dehazing (2020) — 321 citations