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SungJoon Lee

2 accepted papers

2026

BD-Net: Has Depth-Wise Convolution Ever Been Applied in Binary Neural Networks?

AAAI 2026technical

Recent advances in model compression have highlighted the potential of low-bit precision techniques, with Binary Neural Networks (BNNs) attracting attention for their extreme efficiency. However, extreme quantization in BNNs limits representational capacity and destabilizes training, posing signific

Cited by 0SourcePDFScholar
2026

Learning to Refuse: Refusal-Aware Reinforcement Fine-Tuning for Hard-Irrelevant Queries in Video Temporal Grounding

CVPR 2026

Video Temporal Grounding (VTG) aims to localize a temporal segment in a video corresponding to a natural language query. However, existing VTG models assume that a relevant segment always exists, causing them to always predict a target segment even when the query is irrelevant to the video. While re

Cited by 0SourcecodeScholar