2 citations · 5 across the 8 of their papers we have counts for
8 papers
SequencePAR: Understanding Pedestrian Attributes via A Sequence Generation Paradigm
Jiandong Jin, Xiao Wang, Yin Lin +4
Current pedestrian attribute recognition (PAR) algorithms use multi-label or multi-task learning frameworks with specific classification heads. These models often struggle with imb…
Illumination Distillation Framework for Nighttime Person Re-Identification and A New Benchmark
Andong Lu, Zhang Zhang, Yan Huang +4
Nighttime person Re-ID (person re-identification in the nighttime) is a very important and challenging task for visual surveillance but it has not been thoroughly investigated. Und…
Multi-query Vehicle Re-identification: Viewpoint-conditioned Network, Unified Dataset and New Metric
Aihua Zheng, Chaobin Zhang, Weijun Zhang +4
Existing vehicle re-identification methods mainly rely on the single query, which has limited information for vehicle representation and thus significantly hinders the performance…
Dynamic Enhancement Network for Partial Multi-modality Person Re-identification
Aihua Zheng, Ziling He, Zi Wang +2
Many existing multi-modality studies are based on the assumption of modality integrity. However, the problem of missing arbitrary modalities is very common in real life, and this p…
RGBT Tracking via Progressive Fusion Transformer with Dynamically Guided Learning
Yabin Zhu, Chenglong Li, Xiao Wang +2
Existing Transformer-based RGBT tracking methods either use cross-attention to fuse the two modalities, or use self-attention and cross-attention to model both modality-specific an…
Hand Hygiene Assessment via Joint Step Segmentation and Key Action Scorer
Chenglong Li, Qiwen Zhu, Tubiao Liu +2
Hand hygiene is a standard six-step hand-washing action proposed by the World Health Organization (WHO). However, there is no good way to supervise medical staff to do hand hygiene…
Multi-spectral Vehicle Re-identification with Cross-directional Consistency Network and a High-quality Benchmark
Aihua Zheng, Xianpeng Zhu, Zhiqi Ma +3
To tackle the challenge of vehicle re-identification (Re-ID) in complex lighting environments and diverse scenes, multi-spectral sources like visible and infrared information are t…
Disentangled Generation Network for Enlarged License Plate Recognition and A Unified Dataset
Chenglong Li, Xiaobin Yang, Guohao Wang +4
License plate recognition plays a critical role in many practical applications, but license plates of large vehicles are difficult to be recognized due to the factors of low resolu…