109 citations · 205 across the 15 of their papers we have counts for
17 papers
Reinforcing Local Feature Representation for Weakly-Supervised Dense Crowd Counting
Xiaoshuang Chen, Hongtao Lu
Fully-supervised crowd counting is a laborious task due to the large amounts of annotations. Few works focus on weekly-supervised crowd counting, where only the global crowd number…
Temporal Continuity Based Unsupervised Learning for Person Re-Identification
Usman Ali, Bayram Bayramli, Hongtao Lu
Person re-identification (re-id) aims to match the same person from images taken across multiple cameras. Most existing person re-id methods generally require a large amount of ide…
Learning Texture Transformer Network for Image Super-Resolution
Fuzhi Yang, Huan Yang, Jianlong Fu +2
We study on image super-resolution (SR), which aims to recover realistic textures from a low-resolution (LR) image. Recent progress has been made by taking high-resolution images a…
LRNNet: A Light-Weighted Network with Efficient Reduced Non-Local Operation for Real-Time Semantic Segmentation
Weihao Jiang, Zhaozhi Xie, Yaoyi Li +2
The recent development of light-weighted neural networks has promoted the applications of deep learning under resource constraints and mobile applications. Many of these applicatio…
Hierarchical Opacity Propagation for Image Matting
Yaoyi Li, Qingyao Xu, Hongtao Lu
Natural image matting is a fundamental problem in computational photography and computer vision. Deep neural networks have seen the surge of successful methods in natural image mat…
Natural Image Matting via Guided Contextual Attention
Yaoyi Li, Hongtao Lu
Over the last few years, deep learning based approaches have achieved outstanding improvements in natural image matting. Many of these methods can generate visually plausible alpha…