Haokui Zhang
Computer Vision and Pattern Recognition · 2017–2019
A researcher in the Science corpus: 4 papers; trusts 640 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 151 citations into it
- Media Technology — 78 citations into it; #922 of 3,621 by trust here, #956 by citations
- Artificial Intelligence — 55 citations into it
- Model Architectures — 29 citations into it
- Atmospheric Science — 28 citations into it; #847 of 4,804 by trust here, #1,620 by citations
- Optimization & Training — 12 citations into it
- Computational Mechanics — 11 citations into it
- Representation & Self-Supervised Learning — 11 citations into it
Whom Haokui Zhang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Karen Simonyan
- Alex Krizhevsky
- Yoshua Bengio
- Ross B. Girshick
- Diederik P. Kingma
- Yann LeCun
- Ilya Sutskever
- Andrew Zisserman
Who trusts Haokui Zhang overall
- Yuanbiao Gou
- Risheng Liu
- Yushi Chen
- Ava Vali
- Xin He
- Nicolas Audebert
- Xiaohui Yuan
- Charlotte Pelletier
- Lin Zhu
- Zilong Zhong
Papers from Haokui Zhang's perspective
Ordered by how strongly the researchers Haokui Zhang 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
- 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)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- IR-NAS: Neural Architecture Search for Image Restoration (2019) — 5 citations
- Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising (2019) — 61 citations
- Deep learning for remote sensing image classification: A survey (2018) — 455 citations
- Spectral-Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network (2017) — 1,079 citations