17 citations · 57 across the 14 of their papers we have counts for
14 papers
Free Lunch for Gait Recognition: A Novel Relation Descriptor
Jilong Wang, Saihui Hou, Yan Huang +5
Gait recognition is to seek correct matches for query individuals by their unique walking patterns. However, current methods focus solely on extracting individual-specific features…
Unsupervised Gait Recognition with Selective Fusion
Xuqian Ren, Shaopeng Yang, Saihui Hou +3
Previous gait recognition methods primarily trained on labeled datasets, which require painful labeling effort. However, using a pre-trained model on a new dataset without fine-tun…
GPGait: Generalized Pose-based Gait Recognition
Yang Fu, Shibei Meng, Saihui Hou +2
Recent works on pose-based gait recognition have demonstrated the potential of using such simple information to achieve results comparable to silhouette-based methods. However, the…
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…
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…
Progressive Feature Learning for Realistic Cloth-Changing Gait Recognition
Xuqian Ren, Saihui Hou, Chunshui Cao +2
Gait recognition is instrumental in crime prevention and social security, for it can be conducted at a long distance to figure out the identity of persons. However, existing datase…
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…
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-…
Data Augmentation For Medical MR Image Using Generative Adversarial Networks
Panjian Huang, Xu Liu, Yongzhen Huang
Computer-assisted diagnosis (CAD) based on deep learning has become a crucial diagnostic technology in the medical industry, effectively improving diagnosis accuracy. However, the…
Learning Rich Features for Gait Recognition by Integrating Skeletons and Silhouettes
Yunjie Peng, Kang Ma, Yang Zhang +1
Gait recognition captures gait patterns from the walking sequence of an individual for identification. Most existing gait recognition methods learn features from silhouettes or ske…
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…
Learning Efficient Convolutional Networks through Irregular Convolutional Kernels
Weiyu Guo, Jiabin Ma, Liang Wang +1
As deep neural networks are increasingly used in applications suited for low-power devices, a fundamental dilemma becomes apparent: the trend is to grow models to absorb increasing…
Enhanced Mixtures of Part Model for Human Pose Estimation
Wenjuan Gong, Yongzhen Huang, Jordi Gonzalez +1
Mixture of parts model has been successfully applied to 2D human pose estimation problem either as explicitly trained body part model or as latent variables for the whole human bod…
On Brauer -dimensions and index-exponent relations over finitely-generated field extensions
I. D. Chipchakov
Let be a field of absolute Brauer dimension abrd, and a transcendental finitely-generated extension. This paper shows that the Brauer dimension Brd is infinite,…