Fangde Liu
Computer Vision and Pattern Recognition · 2017–2018
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 32 citations into it
- Artificial Intelligence — 11 citations into it
Whom Fangde Liu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Fangde Liu's perspective
Ordered by how strongly the researchers Fangde Liu trusts endorse each paper. Same corpus, a different order for every researcher.
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- ImageNet classification with deep convolutional neural networks
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- GENERATIVE ADVERSARIAL NETS
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Fully convolutional networks for semantic segmentation
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks