38 citations · 39 across the 5 of their papers we have counts for
6 papers
RoLID-11K: A Dashcam Dataset for Small-Object Roadside Litter Detection
Tao Wu, Qing Xu, Xiangjian He +3
Roadside litter poses environmental, safety and economic challenges, yet current monitoring relies on labour-intensive surveys and public reporting, providing limited spatial cover…
Seeing the Whole Picture: Distribution-Guided Data-Free Distillation for Semantic Segmentation
Hongxuan Sun, Tao Wu
Semantic segmentation requires a holistic understanding of the physical world, as it assigns semantic labels to spatially continuous and structurally coherent objects rather than t…
TransiT: Transient Transformer for Non-line-of-sight Videography
Ruiqian Li, Siyuan Shen, Suan Xia +7
High quality and high speed videography using Non-Line-of-Sight (NLOS) imaging benefit autonomous navigation, collision prevention, and post-disaster search and rescue tasks. Curre…
MacFormer: Semantic Segmentation with Fine Object Boundaries
Guoan Xu, Wenfeng Huang, Tao Wu +5
Semantic segmentation involves assigning a specific category to each pixel in an image. While Vision Transformer-based models have made significant progress, current semantic segme…
HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation
Guoan Xu, Wenjing Jia, Tao Wu +2
Both Convolutional Neural Networks (CNNs) and Transformers have shown great success in semantic segmentation tasks. Efforts have been made to integrate CNNs with Transformer models…
MFPNet: Multi-scale Feature Propagation Network For Lightweight Semantic Segmentation
Guoan Xu, Wenjing Jia, Tao Wu +1
In contrast to the abundant research focusing on large-scale models, the progress in lightweight semantic segmentation appears to be advancing at a comparatively slower pace. Howev…