Feng Ni
Computer Vision and Pattern Recognition · 2019–2020
A researcher in the Science corpus: 2 papers; trusts 44 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 67 citations into it
- Artificial Intelligence — 30 citations into it
- Computational Mechanics — 19 citations into it
- Aerospace Engineering — 12 citations into it
- Geology — 8 citations into it
- 3D Vision & Pose — 5 citations into it
Whom Feng Ni trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Feng Ni's perspective
Ordered by how strongly the researchers Feng Ni 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
- GENERATIVE ADVERSARIAL NETS
- Microsoft COCO: Common Objects in Context
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Mask R-CNN
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- PF-Net: Point Fractal Network for 3D Point Cloud Completion (2020) — 475 citations
- VisDrone-DET2019: The Vision Meets Drone Object Detection in Image Challenge Results (2019) — 1,010 citations