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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

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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 3Source ↗code ↗Scholar ↗