Existing vision-language-action (VLA) models benefit from large-scale vision-language pretraining, but tend to memorize training trajectories, limiting their ability to adapt learned interactions to new task and scene configurations. To address this problem, we propose \textbf{Region-Aware Interaction Networks (RAIN)},...
Seung-Hun Lee, Kyuhwan Shim, Ye-Jun Song et al.· 0 citations
Robotic piano playing has emerged as a standard benchmark for dexterous bimanual manipulation, yet progress on it has been measured almost entirely by note accuracy -- which keys are pressed (pitch) and when (onset) -- leaving the musical dynamics essential for expressive performance neither rewarded nor evaluated. We...
Woosik Kim, Wonhyeok Choi, Sunghoon Im· 0 citations
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
The Affective Memory Architecture is introduced, drawing from the amygdala's role in memory modulation to equip AI agents with the essential capacity to actively forget, fundamentally shifting the goal of AI memory from total recall to meaningful retention.
SoYeop Yoo, Sunghoon Im· Proceedings of the 32nd ACM...· 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
Recent advancements in Large Language Model (LLM) agents have largely focused on extending context windows or implementing massive Retrieval-Augmented Generation (RAG) systems to retain long-term history. However, this store-everything approach causes high computational costs and digital hoarding, paradoxically leading...
SoYeop Yoo, Sunghoon Im· Proceedings of the 32nd ACM...· 0 citations
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