Jinshan Pan* — accepted AI-conference papers

2024

ColorMNet: A Memory-based Deep Spatial-Temporal Feature Propagation Network for Video Colorization

Yixin Yang, Jiangxin Dong, Jinhui Tang, Jinshan Pan*

ECCV 2024poster

"How to effectively explore spatial-temporal features is important for video colorization. Instead of stacking multiple frames along the temporal dimension or recurrently propagating estimated features that will accumulate errors or cannot explore information from far-apart frames, we develop a memo…

Cited by 3 Source ↗PDF ↗code ↗Scholar ↗

2024

SMFANet: A Lightweight Self-Modulation Feature Aggregation Network for Efficient Image Super-Resolution

mingjun zheng, Long Sun, Jiangxin Dong, Jinshan Pan*

ECCV 2024poster

"Transformer-based restoration methods achieve significant performance as the self-attention (SA) of the Transformer can explore non-local information for better high-resolution image reconstruction. However, the key dot-product SA requires substantial computational resources, which limits its appli…

Cited by 23 Source ↗PDF ↗code ↗Scholar ↗