Yaowei Wang

Computer Vision and Pattern Recognition · 2016–2024

A researcher in the Science corpus: 13 papers; trusts 1,503 researchers and is trusted by 13 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 545 citations into it; #7,761 of 21,575 by trust here, #3,156 by citations
• Artificial Intelligence — 388 citations into it
• Model Architectures — 134 citations into it
• Representation & Self-Supervised Learning — 97 citations into it
• Multimodal Learning — 91 citations into it
• Natural Language Processing — 68 citations into it
• Evaluation & Benchmarks — 63 citations into it
• Optimization & Training — 43 citations into it

Whom Yaowei Wang trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Kaiming He
2. Alex Krizhevsky
3. Geoffrey E. Hinton
4. Karen Simonyan
5. Yoshua Bengio
6. Ross B. Girshick
7. Diederik P. Kingma
8. Ilya Sutskever
9. Yann LeCun
10. Christian Szegedy

Who trusts Yaowei Wang overall

1. Liang Zheng
2. Yifan Sun
3. Zhedong Zheng
4. Yi Yang
5. Chi Su
6. Alexander Hermans
7. Zhun Zhong
8. Yumin Suh
9. Shiliang Zhang
10. Yutian Lin

Papers from Yaowei Wang's perspective

Ordered by how strongly the researchers Yaowei Wang trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. ImageNet: A large-scale hierarchical image database
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. Gradient-based learning applied to document recognition
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. ImageNet Large Scale Visual Recognition Challenge
10. Going deeper with convolutions

Their papers

• PanGu-α: Large-scale Autoregressive Pretrained Chinese Language Models with Auto-parallel Computation (2021) — 243 citations
• Deep Transfer Learning for Person Re-Identification (2016) — 314 citations
• Deep Relative Distance Learning: Tell the Difference between Similar Vehicles (2016) — 738 citations
• Unsupervised Cross-Dataset Transfer Learning for Person Re-identification (2016) — 388 citations
• Conformer: Local Features Coupling Global Representations for Visual Recognition (2021) — 757 citations
• Learning Long-Term Dependencies for Action Recognition with a Biologically-Inspired Deep Network (2016) — 65 citations
• Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning (2019) — 197 citations
• Towards More Flexible and Accurate Object Tracking with Natural Language: Algorithms and Benchmark (2021) — 297 citations
• Spikformer: When Spiking Neural Network Meets Transformer (2022) — 519 citations
• VMamba: Visual State Space Model (2024) — 2,640 citations
• Large-scale Multi-modal Pre-trained Models: A Comprehensive Survey (2023) — 326 citations
• Compositional Few-Shot Recognition with Primitive Discovery and Enhancing (2020) — 33 citations
• Cross-Domain Adversarial Feature Learning for Sketch Re-identification (2018) — 75 citations