Guangtao Zhai
Computer Vision and Pattern Recognition · 2015–2023
A researcher in the Science corpus: 11 papers; trusts 353 researchers and is trusted by 9 researchers here, as inferred from the citation graph.
Subfields
- Computer Vision and Pattern Recognition — 230 citations into it; #7,898 of 21,575 by trust here, #8,612 by citations
- Media Technology — 135 citations into it; #1,044 of 3,621 by trust here, #926 by citations
- Evaluation & Benchmarks — 58 citations into it
- Artificial Intelligence — 50 citations into it
- Cognitive Neuroscience — 19 citations into it
- Representation & Self-Supervised Learning — 12 citations into it
- Oncology — 11 citations into it
- Optimization & Training — 10 citations into it
Whom Guangtao Zhai trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- A. Bovik
- Zhou Wang
- Hamid R. Sheikh
- Anush K. Moorthy
- Anish Mittal
- Lin Zhang
- Chih-Jen Lin
- Karl J. Friston
- Eero P. Simoncelli
- Lei Zhang
Who trusts Guangtao Zhai overall
- Ke Gu
- Xiongkuo Min
- Weisi Lin
- Shijie Hao
- Chaofeng Chen
- Dacheng Tao
- Xiaokang Yang
- Wencheng Wang
- Kede Ma
- Weihao Xia
Papers from Guangtao Zhai's perspective
Ordered by how strongly the researchers Guangtao Zhai 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)
- Attention is All you Need (Neural Information Processing Systems)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Gradient-based learning applied to document recognition
- ImageNet Large Scale Visual Recognition Challenge
- Long Short-Term Memory
Their papers
- Dual Attention Guided Gaze Target Detection in the Wild (2021) — 99 citations
- Using Free Energy Principle For Blind Image Quality Assessment (2015) — 582 citations
- Blind Image Quality Assessment via Vision-Language Correspondence: A Multitask Learning Perspective (2023) — 409 citations
- Uncertainty-Aware Blind Image Quality Assessment in the Laboratory and Wild (2020) — 368 citations
- Blind Image Quality Estimation via Distortion Aggravation (2018) — 475 citations
- Blind Quality Assessment Based on Pseudo-Reference Image (2018) — 410 citations
- No-Reference Quality Metric of Contrast-Distorted Images Based on Information Maximization (2017) — 313 citations
- A Deep Learning-Based Radiomics Model for Prediction of Survival in Glioblastoma Multiforme (2017) — 553 citations
- The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement (2016) — 374 citations
- No-Reference Quality Assessment of Contrast-Distorted Images Based on Natural Scene Statistics (2015) — 359 citations
- No-Reference Image Sharpness Assessment in Autoregressive Parameter Space (2015) — 307 citations