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Wonhyeok Choi

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Preprint Sep 2026

CANTABILE: Learning Expressive Dynamics for Robotic Piano Performance

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
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
#artificial intelligence Preprint Sep 2026

EviSplat: Preserving Multi-View Evidence in 3D Gaussian Splatting for Open-Vocabulary Segmentation

EviSplat is introduced, which preserves individual observation features as evidence for later text queries within class-agnostic 3D instances that represent objects, object parts, or background regions and learns a distribution describing which visual appearances its observations support.

Sung-Ho Moon, Kota Shimomura, Junwoo Park et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Clustering-Based Balanced Sampling and Allocation with Data Parallelism for High-Performance Fine-Tuning

Instruction-tuning datasets for large language models (LLMs) are often large, redundant, and imbalanced, limiting efficient adaptation. Naive large-batch fine-tuning repeatedly includes overrepresented sample groups while weakly covering underrepresented but informative ones, especially under data parallelism (DP) acro...

Hyunjin Kim, Youngeun Nam, Jaemin Han et al. · 0 citations

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