Yingying Chen
Computer Vision and Pattern Recognition · with Darrell · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 210 researchers and is trusted by 7 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 72 citations into it; #11,869 of 21,575 by trust here, #3,692 by citations
- Artificial Intelligence — 42 citations into it
- Automotive Engineering — 9 citations into it
- Model Architectures — 6 citations into it
- Environmental Engineering — 5 citations into it
Whom Yingying Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Shaoqing Ren
- Geoffrey E. Hinton
- Alex Krizhevsky
- Fisher Yu
- Piotr Doll'ar
- Diederik P. Kingma
- Yoshua Bengio
- Yann LeCun
Who trusts Yingying Chen overall
Papers from Yingying Chen's perspective
Ordered by how strongly the researchers Yingying Chen 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)
- Gradient-based learning applied to document recognition
- Attention is All you Need (Neural Information Processing Systems)
- Long Short-Term Memory
- ImageNet Large Scale Visual Recognition Challenge
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Going deeper with convolutions
Their papers
- BDD100K: A Diverse Driving Video Database with Scalable Annotation Tooling (2018) — 960 citations
- BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning (2018) — 3,030 citations
- AnomalyGPT: Detecting Industrial Anomalies using Large Vision-Language Models (2023) — 366 citations