4 citations · 15 across the 9 of their papers we have counts for
9 papers
Learning Geometric Invariance for Gait Recognition
Zengbin Wang, Junjie Li, Saihui Hou +6
The goal of gait recognition is to extract identity-invariant features of an individual under various gait conditions, e.g., cross-view and cross-clothing. Most gait models strive…
QAGait: Revisit Gait Recognition from a Quality Perspective
Zengbin Wang, Saihui Hou, Man Zhang +5
Gait recognition is a promising biometric method that aims to identify pedestrians from their unique walking patterns. Silhouette modality, renowned for its easy acquisition, simpl…
FastPoseGait: A Toolbox and Benchmark for Efficient Pose-based Gait Recognition
Shibei Meng, Yang Fu, Saihui Hou +3
We present FastPoseGait, an open-source toolbox for pose-based gait recognition based on PyTorch. Our toolbox supports a set of cutting-edge pose-based gait recognition algorithms…
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…
Learning-to-Rank Meets Language: Boosting Language-Driven Ordering Alignment for Ordinal Classification
Rui Wang, Peipei Li, Huaibo Huang +3
We present a novel language-driven ordering alignment method for ordinal classification. The labels in ordinal classification contain additional ordering relations, making them pro…
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…
CNTN: Cyclic Noise-tolerant Network for Gait Recognition
Weichen Yu, Hongyuan Yu, Yan Huang +2
Gait recognition aims to identify individuals by recognizing their walking patterns. However, an observation is made that most of the previous gait recognition methods degenerate s…
Deep Learning-based Occluded Person Re-identification: A Survey
Yunjie Peng, Saihui Hou, Chunshui Cao +3
Occluded person re-identification (Re-ID) aims at addressing the occlusion problem when retrieving the person of interest across multiple cameras. With the promotion of deep learni…
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…