Shiguo Lian
Computer Vision and Pattern Recognition · 2004–2020
A researcher in the Science corpus: 7 papers; trusts 808 researchers and is trusted by 18 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 246 citations into it; #6,518 of 21,575 by trust here, #7,852 by citations
- Aerospace Engineering — 72 citations into it
- Artificial Intelligence — 53 citations into it
- Control and Systems Engineering — 50 citations into it
- Generative Models — 45 citations into it
- Computational Mechanics — 34 citations into it
- Geology — 33 citations into it
- Biomedical Engineering — 19 citations into it
Whom Shiguo Lian trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Geoffrey E. Hinton
- Kaiming He
- Alex Krizhevsky
- Diederik P. Kingma
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Ilya Sutskever
- Karen Simonyan
- Christian Szegedy
Who trusts Shiguo Lian overall
- Kwok-wo Wong
- Yue Wu
- Zhiliang Zhu
- Seyed Mohammad Seyedzadeh
- Junxin Chen
- Xinpeng Zhang
- Bernie Sin-Hung Kwok
- Sattar Mirzakuchaki
- Joseph P. Noonan
- Wing-Shing Law
Papers from Shiguo Lian's perspective
Ordered by how strongly the researchers Shiguo Lian 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)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- A novel color image encryption algorithm based on DNA sequence operation and hyper-chaotic system (2012) — 372 citations
- Vision-based robotic grasping from object localization, object pose estimation to grasp estimation for parallel grippers: a review (2020) — 450 citations
- A survey on face data augmentation for the training of deep neural networks (2019) — 145 citations
- Chaos-Based Cryptography - Theory, Algorithms and Applications (2011) — 361 citations
- Commutative Encryption and Watermarking in Video Compression (2007) — 319 citations
- A block cipher based on a suitable use of the chaotic standard map (2005) — 446 citations
- A Novel Fast Image Encryption Scheme Based on 3D Chaotic Baker Maps (2004) — 638 citations