Hongsong Wang
Computer Vision and Pattern Recognition · 2015–2017
A researcher in the Science corpus: 2 papers; trusts 547 researchers and is trusted by 4 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 66 citations into it; #14,593 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 26 citations into it
- Human-Computer Interaction — 22 citations into it
- Biomedical Engineering — 15 citations into it
- Model Architectures — 12 citations into it; #1,600 of 2,278 by trust here, #1,976 by citations
- Control and Systems Engineering — 9 citations into it
- 3D Vision & Pose — 7 citations into it
- Evaluation & Benchmarks — 5 citations into it
Whom Hongsong Wang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Karen Simonyan
- Andrew Zisserman
- Geoffrey E. Hinton
- Alex Krizhevsky
- Yoshua Bengio
- Kaiming He
- Ross B. Girshick
- Ilya Sutskever
- Yann LeCun
- Diederik P. Kingma
Who trusts Hongsong Wang overall
- Jun Liu
- Chenyang Si
- Hyung-gun Chi
- Amir Shahroudy
- Wentao Chen
- Liang Wang
- Myoung Hoon Ha
- Chiara Plizzari
- Zehua Sun
Papers from Hongsong Wang's perspective
Ordered by how strongly the researchers Hongsong Wang 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)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks (2017) — 432 citations
- Hierarchical motion evolution for action recognition (2015) — 6 citations