Jinqiu Sun
Computer Vision and Pattern Recognition · 2020
A researcher in the Science corpus: 1 paper; trusts 15 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 28 citations into it
- Media Technology — 17 citations into it
Whom Jinqiu Sun trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik (in Computer Vision and Pattern Recognition)
- Andrew Zisserman (in Computer Vision and Pattern Recognition)
- Karen Simonyan (in Computer Vision and Pattern Recognition)
- Kaiming He (in Computer Vision and Pattern Recognition)
- Zhou Wang (in Computer Vision and Pattern Recognition)
- Shaoqing Ren (in Computer Vision and Pattern Recognition)
- Sanghoon Lee (in Computer Vision and Pattern Recognition)
- Jongyoo Kim (in Computer Vision and Pattern Recognition)
- X. Zhang (in Computer Vision and Pattern Recognition)
- Anush K. Moorthy (in Computer Vision and Pattern Recognition)
Papers from Jinqiu Sun's perspective
Ordered by how strongly the researchers Jinqiu Sun 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)
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Learning a similarity metric discriminatively, with application to face verification
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Unsupervised feature learning framework for no-reference image quality assessment
- Gradient-based learning applied to document recognition
- Learning Multiple Layers of Features from Tiny Images
- No-Reference Image Quality Assessment in the Spatial Domain
Their papers
- Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network (2020) — 927 citations