선도 연구 주제

전체 논문

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

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전체 논문

논문 317개
# 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
# Breakthrough in Neural Scaling Law

Rethinking Shapley Value for Negative Interactions in Non-convex Games

Wonjoon Chang, Myeongjin Lee, Jaesik Choi · ICLR · 2025
# Breakthrough in Neural Scaling Law

Granular Concept Circuits: Toward a Fine-Grained Circuit Discovery for Concept Representations

Dahee Kwon, Sehyun Lee, Jaesik Choi · ICCV · 2025
# Breakthrough in Neural Scaling Law

Enhancing Creative Generation on Stable Diffusion-based Models

Jiyeon Han, Dahee Kwon, Gayoung Lee, Junho Kim, Jaesik Choi · CVPR · 2025
# Breakthrough in Neural Scaling Law

Local Manifold Approximation and Projection for Manifold-Aware Diffusion Planning

Kyowoon Lee, Jaesik Choi · ICML · 2025
# Breakthrough in Neural Scaling Law

State-Covering Trajectory Stitching for Diffusion Planners

Kyowoon Lee, Jaesik Choi · NeurIPS · 2025
# Breakthrough in Neural Scaling Law

Learning Advanced Self-Attention for Linear Transformers in the Singular Value Domain

Hyowon Wi, Jeongwhan Choi, Noseong Park · IJCAI · 2025
# Breakthrough in Neural Scaling Law

Neural Functions for Learning Periodic Signal

Woojin Cho, Minju Jo, Kookjin Lee, Noseong Park · ICLR · 2025