53 citations · 79 across the 10 of their papers we have counts for
10 papers
Masked Cross-image Encoding for Few-shot Segmentation
Wenbo Xu, Huaxi Huang, Ming Cheng +3
Few-shot segmentation (FSS) is a dense prediction task that aims to infer the pixel-wise labels of unseen classes using only a limited number of annotated images. The key challenge…
Self-attention on Multi-Shifted Windows for Scene Segmentation
Litao Yu, Zhibin Li, Jian Zhang +1
Scene segmentation in images is a fundamental yet challenging problem in visual content understanding, which is to learn a model to assign every image pixel to a categorical label.…
Horizontal and Vertical Attention in Transformers
Litao Yu, Jian Zhang
Transformers are built upon multi-head scaled dot-product attention and positional encoding, which aim to learn the feature representations and token dependencies. In this work, we…
Spatial-temporal Analysis for Automated Concrete Workability Estimation
Litao Yu, Jian Zhang, Mohammed Bennamoun +3
Concrete workability measure is mostly determined based on subjective assessment of a certified assessor with visual inspections. The potential human error in measuring the workabi…
Distribution-aware Margin Calibration for Semantic Segmentation in Images
Litao Yu, Zhibin Li, Min Xu +3
The Jaccard index, also known as Intersection-over-Union (IoU), is one of the most critical evaluation metrics in image semantic segmentation. However, direct optimization of IoU s…
COTReg:Coupled Optimal Transport based Point Cloud Registration
Guofeng Mei, Xiaoshui Huang, Litao Yu +2
Generating a set of high-quality correspondences or matches is one of the most critical steps in point cloud registration. This paper proposes a learning framework COTReg by jointl…
Multi-layer Feature Aggregation for Deep Scene Parsing Models
Litao Yu, Yongsheng Gao, Jun Zhou +2
Scene parsing from images is a fundamental yet challenging problem in visual content understanding. In this dense prediction task, the parsing model assigns every pixel to a catego…
Distribution-aware Margin Calibration for Medical Image Segmentation
Zhibin Li, Litao Yu, Jian Zhang
The Jaccard index, also known as Intersection-over-Union (IoU score), is one of the most critical evaluation metrics in medical image segmentation. However, directly optimizing the…
Parameter Efficient Deep Neural Networks with Bilinear Projections
Litao Yu, Yongsheng Gao, Jun Zhou +1
Recent research on deep neural networks (DNNs) has primarily focused on improving the model accuracy. Given a proper deep learning framework, it is generally possible to increase t…
Dual Attention on Pyramid Feature Maps for Image Captioning
Litao Yu, Jian Zhang, Qiang Wu
Generating natural sentences from images is a fundamental learning task for visual-semantic understanding in multimedia. In this paper, we propose to apply dual attention on pyrami…