Qiang Chen
Computer Vision and Pattern Recognition · with Yan · 2013–2015
A researcher in the Science corpus: 6 papers; trusts 667 researchers and is trusted by 358 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 158 citations into it; #4,543 of 21,575 by trust here, #6,542 by citations
- Artificial Intelligence — 73 citations into it; #17,455 of 35,345 by trust here, #14,438 by citations
- Representation & Self-Supervised Learning — 19 citations into it
- Evaluation & Benchmarks — 13 citations into it
- Optimization & Training — 9 citations into it
- Model Architectures — 8 citations into it; #102 of 2,278 by trust here, #160 by citations
- Computational Mechanics — 6 citations into it
Whom Qiang Chen trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Alex Krizhevsky
- Geoffrey E. Hinton
- Ross B. Girshick
- Yoshua Bengio
- Pedro F. Felzenszwalb
- Ilya Sutskever
- Yann LeCun
- Kaiming He
- Andrew Zisserman
- Antonio Torralba
Who trusts Qiang Chen overall
- Kaiming He
- Ross B. Girshick
- Wanli Ouyang
- Gao Huang
- Xiaogang Wang
- Ping Luo
- Yoshua Bengio
- Yi Yang
- Trevor Darrell
- Xiaodan Liang
Papers from Qiang Chen's perspective
Ordered by how strongly the researchers Qiang Chen 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
- 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
- Going deeper with convolutions
Their papers
- Deep domain adaptation for describing people based on fine-grained clothing attributes (2015) — 264 citations
- Towards Unified Object Detection and Semantic Segmentation (2014) — 74 citations
- Cross-Domain Image Retrieval with a Dual Attribute-Aware Ranking Network (2015) — 428 citations
- Towards Unified Human Parsing and Pose Estimation (2014) — 110 citations
- Contextualizing Object Detection and Classification (2015) — 42 citations
- Network In Network (2013) — 6,739 citations