2 citations · 4 across the 14 of their papers we have counts for
15 papers
MAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation
Futian Wang, Yuhan Qiao, Xiao Wang +5
Despite the remarkable progress of LLM-based and knowledge graph-augmented Radiology Report Generation (RRG) methods, existing techniques still suffer from inherent defects. Conven…
Dynamic Parsing and Updating Natural Language Specification using VLMs for Robust Vision-Language Tracking
Xiao Wang, Liye Jin, Dan Xu +5
Vision-language tracking guided by natural language specifications leverages high-level semantic cues of target objects to substantially boost tracking accuracy and robustness. Exi…
Active Adversarial Perturbation-driven Associative Memory Retrieval for RGB-Event Visual Object Tracking
Xiao Wang, Xufeng Lou, Zikang Yan +5
RGB-Event tracking improves localization robustness by fusing RGB appearance textures and dense temporal motion cues from event sensors. While this multi-modal scheme broadens trac…
FEMOT: Multi-Object Tracking using Frame and Event Cameras
Shiao Wang, Xiao Wang, Chao Wang +6
Conventional RGB cameras have been widely used in multi-object tracking due to their ability to capture rich appearance and semantic information. However, their performance is ofte…
EPRBench: A High-Quality Benchmark Dataset for Event Stream Based Visual Place Recognition
Xiao Wang, Xingxing Xiong, Jinfeng Gao +5
Event stream-based Visual Place Recognition (VPR) is an emerging research direction that offers a compelling solution to the instability of conventional visible-light cameras under…
ESTR-CoT: Towards Explainable and Accurate Event Stream based Scene Text Recognition with Chain-of-Thought Reasoning
Xiao Wang, Jingtao Jiang, Qiang Chen +5
Event stream based scene text recognition is a newly arising research topic in recent years which performs better than the widely used RGB cameras in extremely challenging scenario…
When Person Re-Identification Meets Event Camera: A Benchmark Dataset and An Attribute-guided Re-Identification Framework
Xiao Wang, Qian Zhu, Shujuan Wu +2
Recent researchers have proposed using event cameras for person re-identification (ReID) due to their promising performance and better balance in terms of privacy protection, event…
Adversarial Semantic and Label Perturbation Attack for Pedestrian Attribute Recognition
Weizhe Kong, Xiao Wang, Ruichong Gao +5
Pedestrian Attribute Recognition (PAR) is an indispensable task in human-centered research and has made great progress in recent years with the development of deep neural networks.…
Human Activity Recognition using RGB-Event based Sensors: A Multi-modal Heat Conduction Model and A Benchmark Dataset
Shiao Wang, Xiao Wang, Bo Jiang +5
Human Activity Recognition (HAR) primarily relied on traditional RGB cameras to achieve high-performance activity recognition. However, the challenging factors in real-world scenar…
Sign Language Translation using Frame and Event Stream: Benchmark Dataset and Algorithms
Xiao Wang, Yuehang Li, Fuling Wang +5
Accurate sign language understanding serves as a crucial communication channel for individuals with disabilities. Current sign language translation algorithms predominantly rely on…
EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition
Xiao Wang, Jingtao Jiang, Dong Li +5
Mainstream Scene Text Recognition (STR) algorithms are developed based on RGB cameras which are sensitive to challenging factors such as low illumination, motion blur, and cluttere…
Activating Associative Disease-Aware Vision Token Memory for LLM-Based X-ray Report Generation
Xiao Wang, Fuling Wang, Haowen Wang +5
X-ray image based medical report generation achieves significant progress in recent years with the help of the large language model, however, these models have not fully exploited…
VELoRA: A Low-Rank Adaptation Approach for Efficient RGB-Event based Recognition
Lan Chen, Haoxiang Yang, Pengpeng Shao +5
Pattern recognition leveraging both RGB and Event cameras can significantly enhance performance by deploying deep neural networks that utilize a fine-tuning strategy. Inspired by t…
Retain, Blend, and Exchange: A Quality-aware Spatial-Stereo Fusion Approach for Event Stream Recognition
Lan Chen, Dong Li, Xiao Wang +5
Existing event stream-based pattern recognition models usually represent the event stream as the point cloud, voxel, image, etc., and design various deep neural networks to learn t…
Spatio-Temporal Side Tuning Pre-trained Foundation Models for Video-based Pedestrian Attribute Recognition
Xiao Wang, Qian Zhu, Jiandong Jin +5
Existing pedestrian attribute recognition (PAR) algorithms are mainly developed based on a static image, however, the performance is unreliable in challenging scenarios, such as he…