activity
20202026
most citedPose-Aided Video-based Person Re-Identification via Recurrent Graph Convolutional Network

3 citations · 6 across the 10 of their papers we have counts for

collaborators

10 papers

cs.CV2026

Vector Map as Language: Toward Unified Remote Sensing Vector Mapping

Yinglong Yan, Yunkai Yang, Haoyi Wang +7

Remote sensing vector mapping aims to generate structured maps of geospatial entities, such as buildings, roads, and water bodies, from remote sensing imagery. In practice, vector…

cs.CV2026

Text-to-CAD Retrieval: a Strong Baseline

Honghu Pan, Zibo Du, Daxiang Liu +2

Text-based retrieval of Computer-Aided Design (CAD) models is a critical yet underexplored task for the reuse of legacy industrial designs. Existing CAD repositories are typically…

cs.CV2026

Computer-Aided Design Generation by Cascaded Discrete Diffusion Model

Honghu Pan, Xiaoling Luo, Yongyong Chen +2

Recent deep learning approaches seek to automate CAD creation by representing a model as a sequence of discrete commands and parameters, and then generating them using autoregressi…

cs.CV2024

Data Generation Scheme for Thermal Modality with Edge-Guided Adversarial Conditional Diffusion Model

Guoqing Zhu, Honghu Pan, Qiang Wang +3

In challenging low light and adverse weather conditions,thermal vision algorithms,especially object detection,have exhibited remarkable potential,contrasting with the frequent stru…

cs.CV2022★ 1 cited

How Image Generation Helps Visible-to-Infrared Person Re-Identification?

Honghu Pan, Yongyong Chen, Yunqi He +2

Compared to visible-to-visible (V2V) person re-identification (ReID), the visible-to-infrared (V2I) person ReID task is more challenging due to the lack of sufficient training samp…

cs.CV2022

Multi-Granularity Graph Pooling for Video-based Person Re-Identification

Honghu Pan, Yongyong Chen, Zhenyu He

The video-based person re-identification (ReID) aims to identify the given pedestrian video sequence across multiple non-overlapping cameras. To aggregate the temporal and spatial…