Zequn Qin
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 2 papers; trusts 286 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 46 citations into it
- Artificial Intelligence — 29 citations into it
- Model Architectures — 18 citations into it
- Automotive Engineering — 10 citations into it
- Optimization & Training — 5 citations into it
Whom Zequn Qin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaiming He
- Ross B. Girshick
- Diederik P. Kingma
- Geoffrey E. Hinton
- Alex Krizhevsky
- Shaoqing Ren
- Yoshua Bengio
- X. Zhang
- Yann LeCun
- Jimmy Ba
Who trusts Zequn Qin overall
- Tu Zheng
- Lizhe Liu
- Zhengyao Wen
- Lucas Tabelini
- Xiaohao Chen
- Wen-Long Lin
- Meng-Hao Guo
- Rodrigo Berriel
- Yifei Huang
- Wenjian Tang
Papers from Zequn Qin's perspective
Ordered by how strongly the researchers Zequn Qin 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)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- 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
- FcaNet: Frequency Channel Attention Networks (2020) — 1,135 citations
- Ultra Fast Structure-aware Deep Lane Detection (2020) — 547 citations