Youliang Yan
Computer Vision and Pattern Recognition · 2019–2022
A researcher in the Science corpus: 5 papers; trusts 657 researchers and is trusted by 6 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 153 citations into it; #10,125 of 21,575 by trust here, #6,426 by citations
- Artificial Intelligence — 60 citations into it; #17,629 of 35,345 by trust here, #11,072 by citations
- Model Architectures — 21 citations into it
- Aerospace Engineering — 12 citations into it
- Efficiency & Compression — 8 citations into it
- Optimization & Training — 8 citations into it
Whom Youliang Yan trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Geoffrey E. Hinton
- Alex Krizhevsky
- Diederik P. Kingma
- Yann LeCun
- Yoshua Bengio
- Liang-Chieh Chen
- Jia Deng
- Karen Simonyan
Who trusts Youliang Yan overall
Papers from Youliang Yan's perspective
Ordered by how strongly the researchers Youliang Yan 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation (2020) — 574 citations
- Enforcing Geometric Constraints of Virtual Normal for Depth Prediction (2019) — 494 citations
- Knowledge Adaptation for Efficient Semantic Segmentation (2019) — 250 citations
- Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation (2019) — 239 citations
- CLIFF: Carrying Location Information in Full Frames into Human Pose and Shape Estimation (2022) — 350 citations