Changzhen Qiu — accepted AI-conference papers

2024

ASP-LED: Learning Ambiguity-Aware Structural Priors for Joint Low-Light Enhancement and Deblurring

Jing Ye, Yang Liu, Congjing Yu, Changzhen Qiu, Zhiyong Zhang

ICRA 2024poster

Low-light enhancement and deblurring is vital for high-level vision-related nighttime tasks. Most existing cascade and joint enhancement methods may provide undesirable results, suffering from severe artifacts, deteriorating blur, and unclear details. In this paper, we propose a novel ambiguity-awar…

Cited by 1 Source ↗Scholar ↗

2024

DCSANet: Dual Cross-channel and Spatial Attention Make RGB-T Object Detection Better

Xiaoxiong Lan, Shenghao Liu, Zhiyong Zhang, Changzhen Qiu

IROS 2024poster

Multimodal image pairs can make object detection more reliable in challenging environments, so RGB-T object detection has gained extensive attention over the past decade. To alleviate the complementarity of the visible and thermal modality, we propose a novel lightweight Feature Enhancement-fusion M…

Cited by 0 Source ↗Scholar ↗