373 citations · 550 across the 13 of their papers we have counts for
13 papers
Pedestrian Attribute Editing for Gait Recognition and Anonymization
Jingzhe Ma, Dingqiang Ye, Chao Fan +1
As a kind of biometrics, the gait information of pedestrians has attracted widespread attention from both industry and academia since it can be acquired from long distances without…
Exploring Deep Models for Practical Gait Recognition
Chao Fan, Saihui Hou, Yongzhen Huang +1
Gait recognition is a rapidly advancing vision technique for person identification from a distance. Prior studies predominantly employed relatively shallow networks to extract subt…
LidarGait: Benchmarking 3D Gait Recognition with Point Clouds
Chuanfu Shen, Chao Fan, Wei Wu +3
Video-based gait recognition has achieved impressive results in constrained scenarios. However, visual cameras neglect human 3D structure information, which limits the feasibility…
OpenGait: Revisiting Gait Recognition Toward Better Practicality
Chao Fan, Junhao Liang, Chuanfu Shen +3
Gait recognition is one of the most critical long-distance identification technologies and increasingly gains popularity in both research and industry communities. Despite the sign…
Learning Gait Representation from Massive Unlabelled Walking Videos: A Benchmark
Chao Fan, Saihui Hou, Jilong Wang +2
Gait depicts individuals' unique and distinguishing walking patterns and has become one of the most promising biometric features for human identification. As a fine-grained recogni…
A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets and Challenges
Chuanfu Shen, Shiqi Yu, Jilong Wang +2
Gait recognition aims to identify a person at a distance, serving as a promising solution for long-distance and less-cooperation pedestrian recognition. Recently, significant advan…
Gait Recognition with Mask-based Regularization
Chuanfu Shen, Beibei Lin, Shunli Zhang +3
Most gait recognition methods exploit spatial-temporal representations from static appearances and dynamic walking patterns. However, we observe that many part-based methods neglec…
GaitEdge: Beyond Plain End-to-end Gait Recognition for Better Practicality
Junhao Liang, Chao Fan, Saihui Hou +3
Gait is one of the most promising biometrics to identify individuals at a long distance. Although most previous methods have focused on recognizing the silhouettes, several end-to-…
A Survey: Deep Learning for Hyperspectral Image Classification with Few Labeled Samples
Sen Jia, Shuguo Jiang, Zhijie Lin +3
With the rapid development of deep learning technology and improvement in computing capability, deep learning has been widely used in the field of hyperspectral image (HSI) classif…
A Systematic IoU-Related Method: Beyond Simplified Regression for Better Localization
Hanyang Peng, Shiqi Yu
Four-variable-independent-regression localization losses, such as Smooth- Loss, are used by default in modern detectors. Nevertheless, this kind of loss is oversimplified s…
Detect Faces Efficiently: A Survey and Evaluations
Yuantao Feng, Shiqi Yu, Hanyang Peng +2
Face detection is to search all the possible regions for faces in images and locate the faces if there are any. Many applications including face recognition, facial expression reco…
Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN
Rijun Liao, Weizhi An, Shiqi Yu +2
Gait recognition has proven to be effective for long-distance human recognition. But view variance of gait features would change human appearance greatly and reduce its performance…
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez +3
Gait is a popular biometric pattern used for identifying people based on their way of walking. Traditionally, gait recognition approaches based on deep learning are trained using t…