26 citations · 58 across the 15 of their papers we have counts for
15 papers
A Random-patch based Defense Strategy Against Physical Attacks for Face Recognition Systems
JiaHao Xie, Ye Luo, Jianwei Lu
The physical attack has been regarded as a kind of threat against real-world computer vision systems. Still, many existing defense methods are only useful for small perturbations a…
Improving Long-tailed Object Detection with Image-Level Supervision by Multi-Task Collaborative Learning
Bo Li, Yongqiang Yao, Jingru Tan +4
Data in real-world object detection often exhibits the long-tailed distribution. Existing solutions tackle this problem by mitigating the competition between the head and tail cate…
A High-Performance Design for Hierarchical Parallelism in the QMCPACK Monte Carlo code
Ye Luo, Peter Doak, Paul Kent
We introduce a new high-performance design for parallelism within the Quantum Monte Carlo code QMCPACK. We demonstrate that the new design is better able to exploit the hierarchica…
Equalized Focal Loss for Dense Long-Tailed Object Detection
Bo Li, Yongqiang Yao, Jingru Tan +4
Despite the recent success of long-tailed object detection, almost all long-tailed object detectors are developed based on the two-stage paradigm. In practice, one-stage detectors…
Deblurring Processor for Motion-Blurred Faces Based on Generative Adversarial Networks
Shiqing Fan, Ye Luo
Low-quality face image restoration is a popular research direction in today's computer vision field. It can be used as a pre-work for tasks such as face detection and face recognit…
Asymptotic Theory for IV-Based Reinforcement Learning with Potential Endogeneity
Jin Li, Ye Luo, Zigan Wang +1
In the standard data analysis framework, data is collected (once and for all), and then data analysis is carried out. However, with the advancement of digital technology, decision-…