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Seunghun Moon

2 accepted papers

2026

WIMFRIS: WIndow Mamba Fusion and Parameter Efficient Tuning for Referring Image Segmentation

ICLR 2026poster

Existing Parameter-Efficient Tuning (PET) methods for Referring Image Segmentation (RIS) primarily focus on layer-wise feature alignment, often neglecting the crucial role of a neck module for the intermediate fusion of aggregated multi-scale features, which creates a significant performance bottlen…

Cited by 0SourceScholar
2024

Embedding-Free Transformer with Inference Spatial Reduction for Efficient Semantic Segmentation

ECCV 2024poster

"We present an Encoder-Decoder Attention Transformer, ED-AFormer, which consists of the Embedding-Free Transformer (EFT) encoder and the all-attention decoder leveraging our Embedding-Free Attention (EFA) structure. The proposed EFA is a novel global context modeling mechanism that focuses on functi…