activity
20172022
most citedGeometry Constrained Weakly Supervised Object Localization

9 citations · 20 across the 12 of their papers we have counts for

collaborators

15 papers

cs.LG20221 cited

SEVGGNet-LSTM: a fused deep learning model for ECG classification

Tongyue He, Yiming Chen, Junxin Chen +2

This paper presents a fused deep learning algorithm for ECG classification. It takes advantages of the combined convolutional and recurrent neural network for ECG classification, a…

cs.CV20211 cited

CIM: Class-Irrelevant Mapping for Few-Shot Classification

Shuai Shao, Lei Xing, Yixin Chen +3

Few-shot classification (FSC) is one of the most concerned hot issues in recent years. The general setting consists of two phases: (1) Pre-train a feature extraction model (FEM) wi…

cs.CR20211 cited

Secure Reversible Data Hiding in Encrypted Images Using Cipher-Feedback Secret Sharing

Zhongyun Hua, Yanxiang Wang, Shuang Yi +2

Reversible data hiding in encrypted images (RDH-EI) has attracted increasing attention, since it can protect the privacy of original images while the embedded data can be exactly e…

cs.CV20214 cited

Detection of Deepfake Videos Using Long Distance Attention

Wei Lu, Lingyi Liu, Junwei Luo +3

With the rapid progress of deepfake techniques in recent years, facial video forgery can generate highly deceptive video contents and bring severe security threats. And detection o…

cs.CV2021

SauvolaNet: Learning Adaptive Sauvola Network for Degraded Document Binarization

Deng Li, Yue Wu, Yicong Zhou

Inspired by the classic Sauvola local image thresholding approach, we systematically study it from the deep neural network (DNN) perspective and propose a new solution called Sauvo…

cs.CV2021

Bridging the Distribution Gap of Visible-Infrared Person Re-identification with Modality Batch Normalization

Wenkang Li, Qi Ke, Wenbin Chen +1

Visible-infrared cross-modality person re-identification (VI-ReID), whose aim is to match person images between visible and infrared modality, is a challenging cross-modality image…