Zicheng Liao
Computer Vision and Pattern Recognition · 2011–2018
A researcher in the Science corpus: 5 papers; trusts 708 researchers and is trusted by 444 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 122 citations into it; #1,998 of 21,575 by trust here, #9,305 by citations
- Artificial Intelligence — 42 citations into it
- Representation & Self-Supervised Learning — 13 citations into it
- Computational Mechanics — 10 citations into it; #9,805 of 10,001 by trust here, #8,566 by citations
- Media Technology — 10 citations into it
- Model Architectures — 9 citations into it
- Biomedical Engineering — 7 citations into it
- Signal Processing — 5 citations into it
Whom Zicheng Liao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Jitendra Malik
- Geoffrey E. Hinton
- Alex Krizhevsky
- Andrew Zisserman
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
- Pablo Arbeláez
- Yoshua Bengio
- Yann LeCun
Who trusts Zicheng Liao overall
- Wanli Ouyang
- Tae-Hyun Oh
- Georgia Gkioxari
- Xiaogang Wang
- Xiao Chu
- Ross B. Girshick
- João Carreira
- X. Wang
- Sara Alexandra Gomes Vicente
- David F. Fouhey
Papers from Zicheng Liao's perspective
Ordered by how strongly the researchers Zicheng Liao 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)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- 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
- Learning hierarchical poselets for human parsing (2011) — 176 citations
- Boundary Cues for 3D Object Shape Recovery (2013) — 31 citations
- Automated video looping with progressive dynamism (2013) — 53 citations
- Piecewise Flat Embedding for Image Segmentation (2018) — 36 citations
- Structured Label Inference for Visual Understanding (2018) — 23 citations