Li Su
Computer Vision and Pattern Recognition · with Huang · 2019–2021
A researcher in the Science corpus: 3 papers; trusts 585 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 93 citations into it; #4,759 of 21,575 by trust here, #8,952 by citations
- Artificial Intelligence — 37 citations into it
- Cognitive Neuroscience — 21 citations into it; #6,915 of 10,852 by trust here, #7,860 by citations
- Model Architectures — 15 citations into it
- Sensory Systems — 11 citations into it
- Optimization & Training — 7 citations into it
- Human-Computer Interaction — 6 citations into it; #1,429 of 2,253 by trust here, #1,440 by citations
- Media Technology — 5 citations into it
Whom Li Su trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ali Borji
- Ming-Ming Cheng
- Alex Krizhevsky
- Karen Simonyan
- Diederik P. Kingma
- Geoffrey E. Hinton
- Huchuan Lu
- Ross B. Girshick
- Yann LeCun
Who trusts Li Su overall
- Deng-Ping Fan
- Youwei Pang
- Junhang Wei
- Xiaoqi Zhao
- Jing Zhang
- Ge-Peng Ji
- Huajun Zhou
- Aixuan Li
- Shuhui Wang
- Xiaodong Cun
Papers from Li Su's perspective
Ordered by how strongly the researchers Li Su 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
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Going deeper with convolutions
Their papers
- Cascaded Partial Decoder for Fast and Accurate Salient Object Detection (2019) — 953 citations
- Rethinking Graph Neural Architecture Search from Message-passing (2021) — 64 citations
- Stacked Cross Refinement Network for Edge-Aware Salient Object Detection (2019) — 381 citations