Qiancheng Fu
Computer Vision and Pattern Recognition · 2022
A researcher in the Science corpus: 1 paper; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 27 citations into it
- Computer Graphics and Computer-Aided Design — 20 citations into it
- Computational Mechanics — 15 citations into it
- 3D Vision & Pose — 14 citations into it
- Aerospace Engineering — 6 citations into it
Whom Qiancheng Fu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Johannes L. Schönberger
- Lior Yariv
- Brian Curless
- M. Kazhdan
- Yasutaka Furukawa
- Lars M. Mescheder
- Patrick Labatut
- William E. Lorensen
- Lingjie Liu
- Michael Niemeyer
Papers from Qiancheng Fu's perspective
Ordered by how strongly the researchers Qiancheng Fu trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- GENERATIVE ADVERSARIAL NETS
- ImageNet Large Scale Visual Recognition Challenge