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Author

Jaeyeul Kim

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2026

Object-Centric LiDAR-to-Radar Distillation for 3D Object Detection

Radar is an essential sensor for autonomous driving due to its cost-effectiveness and robustness under adverse weather conditions. However, 3D radar points are inherently sparse, noisy, and lack elevation information. As a result, they provide much weaker geometric cues than LiDAR measurements, making reliable represen...

Sung-Ho Moon, Jaeyeul Kim, Wonhyeok Choi et al. · 0 citations
Preprint Aug 2026

CRAFT: Constrained Reward via Attention Fine-Tuning for Subject Personalization without Composed Targets

Subject-driven image personalization---generating new images that preserve the identity of one or several reference subjects in novel scenes---is a foundational capability for modern visual content creation. It is currently dominated by generalized methods that fine-tune a pretrained multimodal diffusion transformer (M...

Jihun Park, Kyoungmin Lee, Jongmin Gim et al. · 0 citations
Open access Jul 2026

Mitigating Noisy Correspondence in Video–Text Retrieval via Noise-Mined Adaptive Self-Labeling

Noise-mined Adaptive Self-Labeling (NASL), which effectively manages noisy data during training and improves the separation between clean and noisy data while effectively mitigating noise, leading to significant performance improvements on the MSR-VTT, DiDeMo, MSVD, LSMDC, and ActivityNet datasets.

Jeonghoon Kim, Hyeon Kang, Jihun Park et al. · 0 citations

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