5 citations · 11 across the 26 of their papers we have counts for
26 papers
DiffReID: Discriminative Diffusion Model for Object Re-Identification
Yingquan Wang, Pingping Zhang, Dong Wang +1
As a fundamental image processing task, object Re-Identification (ReID) aims to retrieve objects across non-overlapping cameras. Recently, with the development of deep learning, si…
Paths: Prompt-aware Spatio-temporal Transformer with Hierarchical Multi-modal Fusion for RGB-Event Video Person Re-Identification
Yakun Huo, Yingquan Wang, Yangyang Liu +4
RGB-Event Video Person Re-Identification (RE-VReID) aims to retrieve specific person across non-overlapping cameras with complementary RGB videos and event streams. However, existi…
Multi-Modal Object Re-Identification with Prompt-S6 and Semantic-Aware Knowledge Guidance
Weixiang Zhou, Jiabei Zuo, Yuhao Wang +3
Multi-modal object Re-Identification (ReID) aims to retrieve specific objects by integrating complementary information from multiple modalities. However, existing multi-modal ReID…
HFP-SAM: Hierarchical Frequency Prompted SAM for Efficient Marine Animal Segmentation
Pingping Zhang, Tianyu Yan, Yuhao Wang +7
Marine Animal Segmentation (MAS) aims at identifying and segmenting marine animals from complex marine environments. Most of previous deep learning-based MAS methods struggle with…
RAGTrack: Language-aware RGBT Tracking with Retrieval-Augmented Generation
Hao Li, Yuhao Wang, Wenning Hao +3
RGB-Thermal (RGBT) tracking aims to achieve robust object localization across diverse environmental conditions by fusing visible and thermal infrared modalities. However, existing…
Interactive Spatial-Frequency Fusion Mamba for Multi-Modal Image Fusion
Yixin Zhu, Long Lv, Pingping Zhang +5
Multi-Modal Image Fusion (MMIF) aims to combine images from different modalities to produce fused images, retaining texture details and preserving significant information. Recently…
X-ReID: Multi-granularity Information Interaction for Video-Based Visible-Infrared Person Re-Identification
Chenyang Yu, Xuehu Liu, Pingping Zhang +1
Large-scale vision-language models (e.g., CLIP) have recently achieved remarkable performance in retrieval tasks, yet their potential for Video-based Visible-Infrared Person Re-Ide…
Spatial-Frequency Enhanced Mamba for Multi-Modal Image Fusion
Hui Sun, Long Lv, Pingping Zhang +4
Multi-Modal Image Fusion (MMIF) aims to integrate complementary image information from different modalities to produce informative images. Previous deep learning-based MMIF methods…
What Makes You Unique? Attribute Prompt Composition for Object Re-Identification
Yingquan Wang, Pingping Zhang, Chong Sun +2
Object Re-IDentification (ReID) aims to recognize individuals across non-overlapping camera views. While recent advances have achieved remarkable progress, most existing models are…
Reinforcing Video Reasoning Segmentation to Think Before It Segments
Sitong Gong, Lu Zhang, Yunzhi Zhuge +3
Video reasoning segmentation (VRS) endeavors to delineate referred objects in videos guided by implicit instructions that encapsulate human intent and temporal logic. Previous appr…
SD-ReID: View-aware Stable Diffusion for Aerial-Ground Person Re-Identification
Yuhao Wang, Xiang Hu, Lixin Wang +2
Aerial-Ground Person Re-IDentification (AG-ReID) aims to retrieve specific persons across cameras with different viewpoints. Previous works focus on designing discriminative models…
IDEA: Inverted Text with Cooperative Deformable Aggregation for Multi-modal Object Re-Identification
Yuhao Wang, Yongfeng Lv, Pingping Zhang +1
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary information from various modalities. However, existing methods focus on fus…
LATex: Leveraging Attribute-based Text Knowledge for Aerial-Ground Person Re-Identification
Pingping Zhang, Xiang Hu, Yuhao Wang +1
As an important task in intelligent transportation systems, Aerial-Ground person Re-IDentification (AG-ReID) aims to retrieve specific persons across heterogeneous cameras in diffe…
The Devil is in Temporal Token: High Quality Video Reasoning Segmentation
Sitong Gong, Yunzhi Zhuge, Lu Zhang +3
Existing methods for Video Reasoning Segmentation rely heavily on a single special token to represent the object in the keyframe or the entire video, inadequately capturing spatial…
Unity is Strength: Unifying Convolutional and Transformeral Features for Better Person Re-Identification
Yuhao Wang, Pingping Zhang, Xuehu Liu +2
Person Re-identification (ReID) aims to retrieve the specific person across non-overlapping cameras, which greatly helps intelligent transportation systems. As we all know, Convolu…
MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic Prompt
Yuhao Wang, Xuehu Liu, Tianyu Yan +4
Multi-modal object Re-IDentification (ReID) aims to retrieve specific objects by utilizing complementary image information from different modalities. Recently, large-scale pre-trai…
Towards Real-Time Open-Vocabulary Video Instance Segmentation
Bin Yan, Martin Sundermeyer, David Joseph Tan +2
In this paper, we address the challenge of performing open-vocabulary video instance segmentation (OV-VIS) in real-time. We analyze the computational bottlenecks of state-of-the-ar…
Multi-Scale and Detail-Enhanced Segment Anything Model for Salient Object Detection
Shixuan Gao, Pingping Zhang, Tianyu Yan +1
Salient Object Detection (SOD) aims to identify and segment the most prominent objects in images. Advanced SOD methods often utilize various Convolutional Neural Networks (CNN) or…
MAS-SAM: Segment Any Marine Animal with Aggregated Features
Tianyu Yan, Zifu Wan, Xinhao Deng +3
Recently, Segment Anything Model (SAM) shows exceptional performance in generating high-quality object masks and achieving zero-shot image segmentation. However, as a versatile vis…
Other Tokens Matter: Exploring Global and Local Features of Vision Transformers for Object Re-Identification
Yingquan Wang, Pingping Zhang, Dong Wang +1
Object Re-Identification (Re-ID) aims to identify and retrieve specific objects from images captured at different places and times. Recently, object Re-ID has achieved great succes…
Fantastic Animals and Where to Find Them: Segment Any Marine Animal with Dual SAM
Pingping Zhang, Tianyu Yan, Yang Liu +1
As an important pillar of underwater intelligence, Marine Animal Segmentation (MAS) involves segmenting animals within marine environments. Previous methods don't excel in extracti…
Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification
Pingping Zhang, Yuhao Wang, Yang Liu +2
Single-modal object re-identification (ReID) faces great challenges in maintaining robustness within complex visual scenarios. In contrast, multi-modal object ReID utilizes complem…
Part Representation Learning with Teacher-Student Decoder for Occluded Person Re-identification
Shang Gao, Chenyang Yu, Pingping Zhang +1
Occluded person re-identification (ReID) is a very challenging task due to the occlusion disturbance and incomplete target information. Leveraging external cues such as human pose…
TF-CLIP: Learning Text-free CLIP for Video-based Person Re-Identification
Chenyang Yu, Xuehu Liu, Yingquan Wang +2
Large-scale language-image pre-trained models (e.g., CLIP) have shown superior performances on many cross-modal retrieval tasks. However, the problem of transferring the knowledge…