Yanfeng Wang

Computer Vision and Pattern Recognition · 2018–2023

A researcher in the Science corpus: 7 papers; trusts 374 researchers and is trusted by 3 researchers here, as inferred from the citation graph.

Subfields

• Computer Vision and Pattern Recognition — 158 citations into it; #15,854 of 21,575 by trust here, #7,092 by citations
• Artificial Intelligence — 127 citations into it
• Representation & Self-Supervised Learning — 36 citations into it
• Optimization & Training — 28 citations into it
• Model Architectures — 21 citations into it
• Control and Systems Engineering — 13 citations into it
• Biomedical Engineering — 11 citations into it
• Graph Learning — 9 citations into it

Whom Yanfeng Wang trusts overall

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

1. Geoffrey E. Hinton
2. Kaiming He
3. Alex Krizhevsky
4. Diederik P. Kingma
5. Yoshua Bengio
6. Ilya Sutskever
7. Yann LeCun
8. Ross B. Girshick
9. Shaoqing Ren
10. X. Zhang

Who trusts Yanfeng Wang overall

1. Zitong Yu

Papers from Yanfeng Wang's perspective

Ordered by how strongly the researchers Yanfeng 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. Gradient-based learning applied to document recognition
5. Attention is All you Need (Neural Information Processing Systems)
6. Long Short-Term Memory
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (2018) — 746 citations
• Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition (2019) — 1,063 citations
• Data Augmentation Revisited: Rethinking the Distribution Gap between Clean and Augmented Data (2019) — 70 citations
• PMC-VQA: Visual Instruction Tuning for Medical Visual Question Answering (2023) — 366 citations
• PMC-CLIP: Contrastive Language-Image Pre-training using Biomedical Documents (2023) — 336 citations
• Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction (2020) — 365 citations
• A Fourier-based Framework for Domain Generalization (2021) — 641 citations