26 citations · 33 across the 7 of their papers we have counts for
7 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…
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…
PoissonSeg: Semi-Supervised Few-Shot Medical Image Segmentation via Poisson Learning
Xiaoang Shen, Guokai Zhang, Huilin Lai +3
The application of deep learning to medical image segmentation has been hampered due to the lack of abundant pixel-level annotated data. Few-shot Semantic Segmentation (FSS) is a p…
L-SNet: from Region Localization to Scale Invariant Medical Image Segmentation
Jiahao Xie, Sheng Zhang, Jianwei Lu +1
Coarse-to-fine models and cascade segmentation architectures are widely adopted to solve the problem of large scale variations in medical image segmentation. However, those methods…
Cross-Modal Self-Attention Distillation for Prostate Cancer Segmentation
Guokai Zhang, Xiaoang Shen, Ye Luo +5
Automatic segmentation of the prostate cancer from the multi-modal magnetic resonance images is of critical importance for the initial staging and prognosis of patients. However, h…
Detecting "Smart" Spammers On Social Network: A Topic Model Approach
Linqing Liu, Yao Lu, Ye Luo +3
Spammer detection on social network is a challenging problem. The rigid anti-spam rules have resulted in emergence of "smart" spammers. They resemble legitimate users who are diffi…