Jian Wang
Computer Vision and Pattern Recognition · with Juefei-Xu · 2019
A researcher in the Science corpus: 1 paper; trusts 32 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 33 citations into it
- Generative Models — 12 citations into it
- Artificial Intelligence — 9 citations into it
Whom Jian Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Jian Wang's perspective
Ordered by how strongly the researchers Jian Wang trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- GENERATIVE ADVERSARIAL NETS
- ImageNet classification with deep convolutional neural networks
- Gradient-based learning applied to document recognition
- Going deeper with convolutions
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- FakeSpotter: A Simple Baseline for Spotting AI-Synthesized Fake Faces (2019) — 60 citations