Qinyan Dai — accepted AI-conference papers

2025

BECAME: Bayesian Continual Learning with Adaptive Model Merging

Mei Li, Yuxiang Lu, Qinyan Dai, Suizhi Huang, Yue Ding, Hongtao Lu

ICML 2025poster

Continual Learning (CL) strives to learn incrementally across tasks while mitigating catastrophic forgetting. A key challenge in CL is balancing stability (retaining prior knowledge) and plasticity (learning new tasks). While representative gradient projection methods ensure stability, they often li…

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2021

Structure-Preserving Deraining With Residue Channel Prior Guidance

Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng

ICCV 2021poster

Single image deraining is important for many high-level computer vision tasks since the rain streaks can severely degrade the visibility of images, thereby affecting the recognition and analysis of the image. Recently, many CNN-based methods have been proposed for rain removal. Although these method…

Cited by 144 PDF ↗code ↗Scholar ↗