A unified framework of predicting binary interestingness of images based on discriminant correlation analysis and multiple kernel learning. - Qiang Sun; Liting Wang; Maohui Li; Longtao Zhang; Yuxiang Yang (CoRR, 2019)

An Accurate Object Detector With Effective Feature Extraction by Intrinsic Prior Knowledge. - Maohui Li; Zhuoqun Fang; Senxiang Lu (IEEE Access, 2020)

Measuring the Binary Interestingness of Images: A Unified Prediction Framework Combining Discriminant Correlation Analysis and Multiple Kernel Learning. - Qiang Sun; Liting Wang; Maohui Li; Longtao Zhang; Jiaxiao Li; Shiqian Wang (ICBTA, 2021)

Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture. - Maohui Li; Michael Halstead; Chris McCool (IROS, 2023)

Knowledge Distillation for Efficient Instance Semantic Segmentation with Transformers. - Maohui Li; Michael Halstead; Chris McCool (CVPR Workshops, 2024)