Hongjun Su
Computer Vision and Pattern Recognition · 2015–2016
A researcher in the Science corpus: 4 papers; trusts 137 researchers and is trusted by 21 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 44 citations into it; #6,304 of 21,575 by trust here, #8,612 by citations
- Media Technology — 29 citations into it; #900 of 3,621 by trust here, #926 by citations
- Atmospheric Science — 12 citations into it
- Remote Sensing — 11 citations into it
- Representation & Self-Supervised Learning — 9 citations into it
- Artificial Intelligence — 7 citations into it; #11,780 of 35,345 by trust here, #14,718 by citations
Whom Hongjun Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- David G. Lowe
- Yi Yang
- G. Huang
- Aude Oliva
- Shizhi Chen
- Vladimir Risojevi´c
- Shawn D. Newsam
- Zhenhua Guo
- Antonio Torralba
- Geoffrey E. Hinton
Who trusts Hongjun Su overall
- Wei Li
- Anne Humeau-Heurtier
- Longhui Huang
- Hang Wu
- Gong Cheng
- Yanfei Zhong
- Qian Du
- Jinyi Zou
- Swalpa Kumar Roy
- Grant J. Scott
Papers from Hongjun Su's perspective
Ordered by how strongly the researchers Hongjun Su 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- Going deeper with convolutions
- Distinctive Image Features from Scale-Invariant Keypoints
- Attention is All you Need (Neural Information Processing Systems)
Their papers
- Land-use scene classification using multi-scale completed local binary patterns (2016) — 152 citations
- Land-use scene classification using multi-scale completed local binary patterns (2015)
- Gabor-Filtering-Based Completed Local Binary Patterns for Land-Use Scene Classification (2015) — 42 citations
- Local Binary Patterns and Extreme Learning Machine for Hyperspectral Imagery Classification (2015) — 638 citations