Shaozi Li
Computer Vision and Pattern Recognition · 2017–2020
A researcher in the Science corpus: 9 papers; trusts 1,056 researchers and is trusted by 542 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 229 citations into it; #1,833 of 21,575 by trust here, #1,567 by citations
- Artificial Intelligence — 93 citations into it; #27,157 of 35,345 by trust here, #16,471 by citations
- Biomedical Engineering — 34 citations into it
- Representation & Self-Supervised Learning — 34 citations into it
- Optimization & Training — 27 citations into it
- Model Architectures — 22 citations into it
- Generative Models — 14 citations into it
- Signal Processing — 11 citations into it
Whom Shaozi Li trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Kaiming He
- Geoffrey E. Hinton
- Ross B. Girshick
- Diederik P. Kingma
- Liang Zheng
- Ilya Sutskever
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
Who trusts Shaozi Li overall
- Liang Zheng
- Zhun Zhong
- Dongkai Wang
- Yang Fu
- Mang Ye
- Kaiyang Zhou
- Yi Yang
- Zhedong Zheng
- Zuozhuo Dai
- Yixiao Ge
Papers from Shaozi Li's perspective
Ordered by how strongly the researchers Shaozi Li 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
- Gradient-based learning applied to document recognition
- 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
- Random Erasing Data Augmentation (2017) — 4,240 citations
- Re-ranking Person Re-identification with k-Reciprocal Encoding (2017) — 1,649 citations
- Camera Style Adaptation for Person Re-identification (2017) — 608 citations
- Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-Identification (2019) — 615 citations
- Generalizing a Person Retrieval Model Hetero- and Homogeneously (2018) — 479 citations
- OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World (2020) — 150 citations
- Non-local Deep Features for Salient Object Detection (2017) — 557 citations
- Weighted Res-UNet for High-Quality Retina Vessel Segmentation (2018) — 978 citations
- Manifold regularized discriminative feature selection for multi-label learning (2019) — 327 citations