Xiongkuo Min
Computer Vision and Pattern Recognition · 2018–2023
A researcher in the Science corpus: 3 papers; trusts 23 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 65 citations into it
- Media Technology — 39 citations into it
- Evaluation & Benchmarks — 18 citations into it
- Artificial Intelligence — 9 citations into it
Whom Xiongkuo Min trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Zhou Wang
- Lin Zhang
- Hamid R. Sheikh
- Anush K. Moorthy
- Chih-Jen Lin
- Anish Mittal
- Lei Zhang
- Ke Gu
- Eero P. Simoncelli
Who trusts Xiongkuo Min overall
Papers from Xiongkuo Min's perspective
Ordered by how strongly the researchers Xiongkuo Min 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
- 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)
- Image quality assessment: from error visibility to structural similarity
- Attention is All you Need (Neural Information Processing Systems)
- Gradient-based learning applied to document recognition
Their papers
- Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels (2023) — 571 citations
- Blind Image Quality Estimation via Distortion Aggravation (2018) — 475 citations
- Blind Quality Assessment Based on Pseudo-Reference Image (2018) — 410 citations