activity
20032023
most citedSGUIE-Net: Semantic Attention Guided Underwater Image Enhancement with Multi-Scale Perception

277 citations · 811 across the 38 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2022

Sample hardness based gradient loss for long-tailed cervical cell detection

Minmin Liu, Xuechen Li, Xiangbo Gao +3

Due to the difficulty of cancer samples collection and annotation, cervical cancer datasets usually exhibit a long-tailed data distribution. When training a detector to detect the…

cs.CV2022

Scale-free and Task-agnostic Attack: Generating Photo-realistic Adversarial Patterns with Patch Quilting Generator

Xiangbo Gao, Cheng Luo, Qinliang Lin +5

\noindent Traditional L_p norm-restricted image attack algorithms suffer from poor transferability to black box scenarios and poor robustness to defense algorithms. Recent CNN gene…

cs.CV2019★ 1 cited

Understanding the Mechanism of Deep Learning Framework for Lesion Detection in Pathological Images with Breast Cancer

Wei-Wen Hsu, Chung-Hao Chen, Chang Hoa +7

The computer-aided detection (CADe) systems are developed to assist pathologists in slide assessment, increasing diagnosis efficiency and reducing missing inspections. Many studies…

cs.CV2018★ 15 cited

Optimized Skeleton-based Action Recognition via Sparsified Graph Regression

Xiang Gao, Wei Hu, Jiaxiang Tang +2

With the prevalence of accessible depth sensors, dynamic human body skeletons have attracted much attention as a robust modality for action recognition. Previous methods model skel…

cs.CV2018

Global Norm-Aware Pooling for Pose-Robust Face Recognition at Low False Positive Rate

Sheng Chen, Jia Guo, Yang Liu +2

In this paper, we propose a novel Global Norm-Aware Pooling (GNAP) block, which reweights local features in a convolutional neural network (CNN) adaptively according to their L2 no…

cs.CV2018★ 48 cited

MobileFaceNets: Efficient CNNs for Accurate Real-Time Face Verification on Mobile Devices

Sheng Chen, Yang Liu, Xiang Gao +1

We present a class of extremely efficient CNN models, MobileFaceNets, which use less than 1 million parameters and are specifically tailored for high-accuracy real-time face verifi…