선도 연구 주제

전체 논문

NAIRL이 세 가지 선도 연구 주제에 걸쳐 발표한 연구의 전체 색인입니다.

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Physical AI & Robotics

논문 104개
# Foundation Model for Robotics

High-Quality Joint Image and Video Compression with Causal VAE

Dawit Mureja Argaw, Xian Liu, Qinsheng Zhang, Joon Son Chung, Ming-Yu Liu, Fitsum Reda · ICLR · 2025
# Foundation Model for Robotics

V2SFlow: Video-to-Speech Generation with Speech Decomposition and Rectified Flow

Jeongsoo Choi, Ji-Hoon Kim, Jinyu Li, Joon Son Chung, Shujie Liu · ICASSP · 2025
# Foundation Model for Robotics

Label-Augmented Dataset Distillation

Seoungyoon Kang, Youngsun Lim, Hyunjung Shim · WACV · 2025
# Foundation Model for Robotics

DGQ: Distribution-Aware Group Quantization for Text-to-Image Diffusion Models

Hyogon Ryu, NaHyeon Park, Hyunjung Shim · ICLR · 2025
# Foundation Model for Robotics

DreamCatalyst: Fast and High-Quality 3D Editing via Controlling Editability and Identity Preservation

Jiwook Kim, Seonho Lee, Jaeyo Shin, Jiho Choi, Hyunjung Shim · ICLR · 2025
# Foundation Model for Robotics

Fine-Grained Image-Text Correspondence with Cost Aggregation for Open-Vocabulary Part Segmentation

Jiho Choi, Seonho Lee, Minhyun Lee, Seungho Lee, Hyunjung Shim · CVPR · 2025
# Foundation Model for Robotics

No Thing, Nothing: Highlighting Safety-Critical Classes for Robust LiDAR Semantic Segmentation in Adverse Weather

Junsung Park, Hwijeong Lee, Inha Kang, Hyunjung Shim · CVPR · 2025
# Foundation Model for Robotics

Classifier-guided CLIP Distillation for Unsupervised Multi-label Classification

Dongseob Kim, Hyunjung Shim · CVPR · 2025
# Foundation Model for Robotics

DPAIL: Training Diffusion Policy for Adversarial Imitation Learning without Policy Optimization

Yunseon Choi, Minchan Jeong, Soobin Um, Kee-Eung Kim · NeurIPS · 2025
# Foundation Model for Robotics

Goal-Conditioned DPO: Prioritizing Safety in Misaligned Instructions

Joo Bon Maeng, Seongmin Lee, Seokin Seo, Kee-Eung Kim · Volume 1: Long Papers · 2025