34 citations · 88 across the 21 of their papers we have counts for
22 papers
DCG ReID: Disentangling Collaboration and Guidance Fusion Representations for Multi-modal Vehicle Re-Identification
Aihua Zheng, Ya Gao, Shihao Li +2
Multi-modal vehicle Re-Identification (ReID) aims to leverage complementary information from RGB, Near Infrared (NIR), and Thermal Infrared (TIR) modalities to retrieve the same ve…
UGG-ReID: Uncertainty-Guided Graph Model for Multi-Modal Object Re-Identification
Xixi Wan, Aihua Zheng, Bo Jiang +3
Multi-modal object Re-IDentification (ReID) has gained considerable attention with the goal of retrieving specific targets across cameras using heterogeneous visual data sources. A…
ICPL-ReID: Identity-Conditional Prompt Learning for Multi-Spectral Object Re-Identification
Shihao Li, Chenglong Li, Aihua Zheng +2
Multi-spectral object re-identification (ReID) brings a new perception perspective for smart city and intelligent transportation applications, effectively addressing challenges fro…
Collaborative Enhancement Network for Low-quality Multi-spectral Vehicle Re-identification
Aihua Zheng, Yongqi Sun, Zi Wang +2
The performance of multi-spectral vehicle Re-identification (ReID) is significantly degraded when some important discriminative cues in visible, near infrared and thermal infrared…
Reliable Multi-Modal Object Re-Identification via Modality-Aware Graph Reasoning
Xixi Wan, Aihua Zheng, Zi Wang +3
Multi-modal data provides abundant and diverse object information, crucial for effective modal interactions in Re-Identification (ReID) tasks. However, existing approaches often ov…
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…
Flare-Aware Cross-modal Enhancement Network for Multi-spectral Vehicle Re-identification
Aihua Zheng, Zhiqi Ma, Zi Wang +1
Multi-spectral vehicle re-identification aims to address the challenge of identifying vehicles in complex lighting conditions by incorporating complementary visible and infrared in…
MODIFY: Model-driven Face Stylization without Style Images
Yuhe Ding, Jian Liang, Jie Cao +2
Existing face stylization methods always acquire the presence of the target (style) domain during the translation process, which violates privacy regulations and limits their appli…
MAPS: A Noise-Robust Progressive Learning Approach for Source-Free Domain Adaptive Keypoint Detection
Yuhe Ding, Jian Liang, Bo Jiang +2
Existing cross-domain keypoint detection methods always require accessing the source data during adaptation, which may violate the data privacy law and pose serious security concer…
Parallel Augmentation and Dual Enhancement for Occluded Person Re-identification
Zi Wang, Huaibo Huang, Aihua Zheng +2
Occluded person re-identification (Re-ID), the task of searching for the same person's images in occluded environments, has attracted lots of attention in the past decades. Recent…
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…
ProxyMix: Proxy-based Mixup Training with Label Refinery for Source-Free Domain Adaptation
Yuhe Ding, Lijun Sheng, Jian Liang +2
Unsupervised domain adaptation (UDA) aims to transfer knowledge from a labeled source domain to an unlabeled target domain. Owing to privacy concerns and heavy data transmission, s…
Viewpoint-aware Progressive Clustering for Unsupervised Vehicle Re-identification
Aihua Zheng, Xia Sun, Chenglong Li +1
Vehicle re-identification (Re-ID) is an active task due to its importance in large-scale intelligent monitoring in smart cities. Despite the rapid progress in recent years, most ex…
Unsupervised Contrastive Photo-to-Caricature Translation based on Auto-distortion
Yuhe Ding, Xin Ma, Mandi Luo +2
Photo-to-caricature translation aims to synthesize the caricature as a rendered image exaggerating the features through sketching, pencil strokes, or other artistic drawings. Style…
Lets Play Music: Audio-driven Performance Video Generation
Hao Zhu, Yi Li, Feixia Zhu +2
We propose a new task named Audio-driven Per-formance Video Generation (APVG), which aims to synthesizethe video of a person playing a certain instrument guided bya given music aud…
STADB: A Self-Thresholding Attention Guided ADB Network for Person Re-identification
Bo Jiang, Sheng Wang, Xiao Wang +1
Recently, Batch DropBlock network (BDB) has demonstrated its effectiveness on person image representation and re-identification task via feature erasing. However, BDB drops the fea…
Deep Audio-Visual Learning: A Survey
Hao Zhu, Mandi Luo, Rui Wang +2
Audio-visual learning, aimed at exploiting the relationship between audio and visual modalities, has drawn considerable attention since deep learning started to be used successfull…
Multi-Adapter RGBT Tracking
Chenglong Li, Andong Lu, Aihua Zheng +2
The task of RGBT tracking aims to take the complementary advantages from visible spectrum and thermal infrared data to achieve robust visual tracking, and receives more and more at…
Attributes Guided Feature Learning for Vehicle Re-identification
Hongchao Li, Xianmin Lin, Aihua Zheng +4
Vehicle Re-ID has recently attracted enthusiastic attention due to its potential applications in smart city and urban surveillance. However, it suffers from large intra-class varia…
A Unified RGB-T Saliency Detection Benchmark: Dataset, Baselines, Analysis and A Novel Approach
Chenglong Li, Guizhao Wang, Yunpeng Ma +3
Despite significant progress, image saliency detection still remains a challenging task in complex scenes and environments. Integrating multiple different but complementary cues, l…