Changlong Gao — accepted AI-conference papers

2024

AdaDiffSR: Adaptive Region-aware Dynamic acceleration Diffusion Model for Real-World Image Super-Resolution

Yuanting Fan, Chengxu Liu, Nengzhong Yin, Changlong Gao, Xueming Qian*

ECCV 2024poster

"Diffusion models (DMs) have shown promising results on single-image super-resolution and other image-to-image translation tasks. Benefiting from more computational resources and longer inference times, they are able to yield more realistic images. Existing DMs-based super-resolution methods try to…

Cited by 4 Source ↗PDF ↗Scholar ↗

2023

CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection

Changlong Gao, Chengxu Liu, Yujie Dun, Xueming Qian

ICCV 2023poster

Domain Adaptive Object Detection (DAOD) aims to improve the detection performance of target domains by minimizing the feature distribution between the source and target domain. Recent approaches usually align such distributions in terms of categories through adversarial learning and some progress ha…

Cited by 14 PDF ↗Scholar ↗