37 citations · 40 across the 6 of their papers we have counts for
6 papers
Learning to Generate Cross-Task Unexploitable Examples
Haoxuan Qu, Qiuchi Xiang, Yujun Cai +4
Unexploitable example generation aims to transform personal images into their unexploitable (unlearnable) versions before they are uploaded online, thereby preventing unauthorized…
DLA-Count: Dynamic Label Assignment Network for Dense Cell Distribution Counting
Yuqing Yan, Yirui Wu
Cell counting remains a fundamental yet challenging task in medical and biological research due to the diverse morphology of cells, their dense distribution, and variations in imag…
EHNet: An Efficient Hybrid Network for Crowd Counting and Localization
Yuqing Yan, Yirui Wu
In recent years, crowd counting and localization have become crucial techniques in computer vision, with applications spanning various domains. The presence of multi-scale crowd di…
Incremental Few-Shot Semantic Segmentation via Embedding Adaptive-Update and Hyper-class Representation
Guangchen Shi, Yirui Wu, Jun Liu +3
Incremental few-shot semantic segmentation (IFSS) targets at incrementally expanding model's capacity to segment new class of images supervised by only a few samples. However, feat…
A New COLD Feature based Handwriting Analysis for Ethnicity/Nationality Identification
Sauradip Nag, Palaiahnakote Shivakumara, Wu Yirui +2
Identifying crime for forensic investigating teams when crimes involve people of different nationals is challenging. This paper proposes a new method for ethnicity (nationality) id…
Multi-Glimpse LSTM with Color-Depth Feature Fusion for Human Detection
Hengduo Li, Jun Liu, Guyue Zhang +2
With the development of depth cameras such as Kinect and Intel Realsense, RGB-D based human detection receives continuous research attention due to its usage in a variety of applic…