4 papers
SpikeRestormer: Towards Energy-Efficient All-in-One Image Restoration via Unified Event Reasoning
Shengkai Hu, Jie Shao, Jiaqi Ma +5
ANN-based All-in-One image restoration (AiOIR) unifies diverse degradation handling but incurs high computational costs, limiting its real-time deployment. While Spiking Neural Net…
ClusIR: Towards Cluster-Guided All-in-One Image Restoration
Shengkai Hu, Jiaqi Ma, Xu Zhang +3
ClusIR introduces a cluster-guided framework that learns degradation semantics via clustering and uses these cues to adaptively restore images across spatial and frequency domains.
EvoIR: Towards All-in-One Image Restoration via Evolutionary Frequency Modulation
Jiaqi Ma, Shengkai Hu, Xu Zhang +4
All-in-One Image Restoration (AiOIR) tasks often involve diverse degradation that require robust and versatile strategies. However, most existing approaches typically lack explicit…
Proto-Former: Unified Facial Landmark Detection by Prototype Transformer
Shengkai Hu, Haozhe Qi, Jun Wan +4
Recent advances in deep learning have significantly improved facial landmark detection. However, existing facial landmark detection datasets often define different numbers of landm…