Jianqiang Xiao
Computer Vision and Pattern Recognition · 2022–2023
A researcher in the Science corpus: 2 papers; trusts 442 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 135 citations into it
- Artificial Intelligence — 118 citations into it
- Meta & Continual Learning — 75 citations into it
- Representation & Self-Supervised Learning — 25 citations into it
- Model Architectures — 21 citations into it
- Optimization & Training — 11 citations into it
- Evaluation & Benchmarks — 8 citations into it
Whom Jianqiang Xiao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Yann LeCun
- Diederik P. Kingma
- Karen Simonyan
- X. Zhang
- Ilya Sutskever
Who trusts Jianqiang Xiao overall
Papers from Jianqiang Xiao's perspective
Ordered by how strongly the researchers Jianqiang Xiao 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
- ImageNet: A large-scale hierarchical image database
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Representation Compensation Networks for Continual Semantic Segmentation (2022) — 143 citations
- Endpoints Weight Fusion for Class Incremental Semantic Segmentation (2023) — 77 citations