5 papers
MapTCL: Temporal Consistency Learning via Bidirectional Alignment for Vectorized HD Map Construction
Hyeonseo Kim, Juyeb Shin, Hyeonjun Jeong +2
Constructing reliable online HD maps remains challenging in dynamic urban environments due to moving objects and occlusions. While recent works employ feature-level temporal fusion…
Ego-Human Motion Prediction with 3D-Aware LLM
Yujin Bae, Jaewoo Jeong, Hyeonseong Kim +1
Anticipating human motion from an egocentric perspective is fundamental for proactive assistance in AR/VR, human-robot collaboration, and embodied AI. While recent works incorporat…
FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model
Yuhwan Jeong, Hyeonseong Kim, Daehyun We +5
Synthetic data for autonomous driving is surging, powered by diffusion models that promise scalable scene generation. Yet key obstacles remain, as enforcing multi-view and temporal…
Inconsistency-Aware Minimization: Improving Generalization with Unlabeled Data
Hee-Sung Kim, Hyeonseong Kim, Sungyoon Lee
Estimating the generalization gap and developing optimization methods that improve generalization are crucial for deep learning models, for both theoretical understanding and pract…
SERQ: Saliency-Aware Low-Rank Error Reconstruction for LLM Quantization
Yeonsik Park, Hyeonseong Kim, Seungkyu Choi
Post-training quantization (PTQ) has emerged as a prevailing technique for deploying large language models (LLMs) efficiently in terms of both memory and computation, across edge d…