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.· IEEE Signal Processing Lette...· 0 citations
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
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.· ACM Transactions on Multimed...· 0 citations
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