Dong Tian
Computer Vision and Pattern Recognition · 2017
A researcher in the Science corpus: 5 papers; trusts 294 researchers and is trusted by 25 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 102 citations into it
- Computational Mechanics — 74 citations into it; #1,869 of 10,001 by trust here, #826 by citations
- Graph Learning — 35 citations into it
- Aerospace Engineering — 33 citations into it
- Geology — 32 citations into it; #130 of 687 by trust here, #86 by citations
- Artificial Intelligence — 30 citations into it
- 3D Vision & Pose — 25 citations into it
- Model Architectures — 19 citations into it
Whom Dong Tian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Charles Ruizhongtai Qi
- Geoffrey E. Hinton
- Yann LeCun
- Brian Curless
- Alex Krizhevsky
- Hao Su
- Yoshua Bengio
- Kaiming He
- Diederik P. Kingma
- Ross B. Girshick
Who trusts Dong Tian overall
Papers from Dong Tian's perspective
Ordered by how strongly the researchers Dong Tian 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- 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)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- FoldingNet: Point Cloud Auto-Encoder via Deep Grid Deformation (2017) — 1,401 citations
- Mining Point Cloud Local Structures by Kernel Correlation and Graph Pooling (2017) — 532 citations
- Neighbors Do Help: Deeply Exploiting Local Structures of Point Clouds (2017) — 33 citations
- FoldingNet: Interpretable Unsupervised Learning on 3D Point Clouds (2017) — 84 citations
- Geometric distortion metrics for point cloud compression (2017) — 416 citations