Hongyuan Zhu
Computer Vision and Pattern Recognition · 2015–2019
A researcher in the Science corpus: 4 papers; trusts 902 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 189 citations into it; #19,075 of 21,575 by trust here, #16,787 by citations
- Artificial Intelligence — 64 citations into it
- Media Technology — 15 citations into it
- Computational Mechanics — 14 citations into it
- Aerospace Engineering — 13 citations into it
- Model Architectures — 12 citations into it
- Signal Processing — 9 citations into it
- Optimization & Training — 6 citations into it
Whom Hongyuan Zhu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Jitendra Malik
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Ilya Sutskever
- David G. Lowe
Who trusts Hongyuan Zhu overall
Papers from Hongyuan Zhu's perspective
Ordered by how strongly the researchers Hongyuan Zhu 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
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- 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
- AnomalyNet: An Anomaly Detection Network for Video Surveillance (2019) — 317 citations
- COMIC: Multi-view Clustering Without Parameter Selection (2019) — 358 citations
- TORNADO: A Spatio-Temporal Convolutional Regression Network for Video Action Proposal (2017) — 61 citations
- Beyond pixels: A comprehensive survey from bottom-up to semantic image segmentation and cosegmentation (2015) — 238 citations