45 citations · 111 across the 20 of their papers we have counts for
4 papers · 2 filters
Deep Learning Approaches in Pavement Distress Identification: A Review
Sizhe Guan, Haolan Liu, Hamid R. Pourreza +1
This paper presents a comprehensive review of recent advancements in image processing and deep learning techniques for pavement distress detection and classification, a critical as…
Connections between Operator-splitting Methods and Deep Neural Networks with Applications in Image Segmentation
Hao Liu, Xue-Cheng Tai, Raymond Chan
Deep neural network is a powerful tool for many tasks. Understanding why it is so successful and providing a mathematical explanation is an important problem and has been one popul…
PottsMGNet: A Mathematical Explanation of Encoder-Decoder Based Neural Networks
Xue-Cheng Tai, Hao Liu, Raymond Chan
For problems in image processing and many other fields, a large class of effective neural networks has encoder-decoder-based architectures. Although these networks have made impres…
Fine-grained Action Analysis: A Multi-modality and Multi-task Dataset of Figure Skating
Sheng-Lan Liu, Yu-Ning Ding, Gang Yan +4
The fine-grained action analysis of the existing action datasets is challenged by insufficient action categories, low fine granularities, limited modalities, and tasks. In this pap…