Shiyu Song
Computer Vision and Pattern Recognition · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 238 researchers and is trusted by 5 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 52 citations into it
- Aerospace Engineering — 47 citations into it
- Geology — 20 citations into it
- Artificial Intelligence — 12 citations into it
- Computational Mechanics — 12 citations into it
- 3D Vision & Pose — 11 citations into it; #383 of 689 by trust here, #648 by citations
- Environmental Engineering — 9 citations into it
- Automotive Engineering — 6 citations into it
Whom Shiyu Song trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Andreas Geiger
- Thomas Brox
- Pedro F. Felzenszwalb
- Ross B. Girshick
- Christopher Zach
- Narayanan Sundaram
- Christian Kerl
- Geoffrey E. Hinton
- Raquel Urtasun
- Alex Krizhevsky
Who trusts Shiyu Song overall
Papers from Shiyu Song's perspective
Ordered by how strongly the researchers Shiyu Song trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Robust and Precise Vehicle Localization Based on Multi-Sensor Fusion in Diverse City Scenes (2017) — 321 citations
- L3-Net: Towards Learning Based LiDAR Localization for Autonomous Driving (2019) — 304 citations
- DeepVCP: An End-to-End Deep Neural Network for Point Cloud Registration (2019) — 323 citations
- Joint SFM and detection cues for monocular 3D localization in road scenes (2015) — 87 citations