Yue Wu
Computer Vision and Pattern Recognition · 7 papers · 2016–2020
A researcher in the Science corpus: 7 papers; trusts 848 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 206 citations into it; #4,083 of 21,575 by trust here, #1,408 by citations
- Artificial Intelligence — 84 citations into it; #5,754 of 35,345 by trust here, #1,937 by citations
- Model Architectures — 22 citations into it
- Signal Processing — 19 citations into it
- Experimental and Cognitive Psychology — 16 citations into it
- Optimization & Training — 16 citations into it
- Meta & Continual Learning — 13 citations into it; #115 of 1,041 by trust here, #36 by citations
- Representation & Self-Supervised Learning — 10 citations into it
Whom Yue Wu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Alex Krizhevsky
- Shaoqing Ren
- Geoffrey E. Hinton
- Karen Simonyan
- Yoshua Bengio
- Yann LeCun
- Andrew Zisserman
- Jia Deng
Who trusts Yue Wu overall
- Da-Wei Zhou
- Ali Ayub
- Yaoyao Liu
- Jiangpeng He
- Timothée Lesort
- Tyler L. Hayes
- Gyuhak Kim
- Arthur Douillard
- Zheda Mai
- Umberto Michieli
Papers from Yue Wu's perspective
Ordered by how strongly the researchers Yue Wu trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet: A large-scale hierarchical image database
- 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
- Going deeper with convolutions
Their papers
- MMDetection: Open MMLab Detection Toolbox and Benchmark (2019) — 3,471 citations
- Large Scale Incremental Learning (2019) — 1,535 citations
- Rethinking Classification and Localization for Object Detection (2019) — 620 citations
- Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer (2020) — 349 citations
- Incremental Classifier Learning with Generative Adversarial Networks (2018) — 117 citations
- Facial Landmark Detection: A Literature Survey (2018) — 396 citations
- Multimodal Spontaneous Emotion Corpus for Human Behavior Analysis (2016) — 439 citations