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Yujie Dun

2 accepted papers

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 14PDF ↗Scholar ↗
2023

Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution

Zixi Tuo, Huan Yang, Jianlong Fu, Yujie Dun, Xueming Qian
ICCV 2023poster

Existing real-world video super-resolution (VSR) methods focus on designing a general degradation pipeline for open-domain videos while ignoring data intrinsic characteristics which strongly limit their performance when applying to some specific domains (e.g., animation videos). In this paper, we th…

Cited by 5PDF ↗code ↗Scholar ↗