Shumin Han
Computer Vision and Pattern Recognition · 2020–2022
A researcher in the Science corpus: 3 papers; trusts 207 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 130 citations into it
- Artificial Intelligence — 101 citations into it
- Representation & Self-Supervised Learning — 45 citations into it
- Model Architectures — 13 citations into it
- Computer Networks and Communications — 7 citations into it
Whom Shumin Han trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Kaiming He
- Ross B. Girshick
- Paul Bergmann
- Yann LeCun
- Yoshua Bengio
- Diederik P. Kingma
- Thomas Schlegl
- Sergey Zagoruyko
Who trusts Shumin Han overall
Papers from Shumin Han's perspective
Ordered by how strongly the researchers Shumin Han 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
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Context Autoencoder for Self-supervised Representation Learning (2022) — 508 citations
- Student-Teacher Feature Pyramid Matching for Anomaly Detection (2021) — 362 citations
- PP-YOLO: An Effective and Efficient Implementation of Object Detector (2020) — 345 citations