5 papers
Causality-Aware End-to-End Autonomous Driving via Ego-Centric Joint Scene Modeling
Seokha Moon, Minseung Lee, Joon Seo +2
End-to-end autonomous driving, which bypasses traditional modular pipelines by directly predicting future trajectories from sensor inputs, has recently achieved substantial progres…
Focus, Don't Prune: Identifying Instruction-Relevant Regions for Information-Rich Image Understanding
Mincheol Kwon, Minseung Lee, Seonga Choi +7
Large Vision-Language Models (LVLMs) have shown strong performance across various multimodal tasks by leveraging the reasoning capabilities of Large Language Models (LLMs). However…
Image-Guided Semantic Pseudo-LiDAR Point Generation for 3D Object Detection
Minseung Lee, Seokha Moon, Seung Joon Lee +2
In autonomous driving scenarios, accurate perception is becoming an even more critical task for safe navigation. While LiDAR provides precise spatial data, its inherent sparsity ma…
Local Representative Token Guided Merging for Text-to-Image Generation
Min-Jeong Lee, Hee-Dong Kim, Seong-Whan Lee
Stable diffusion is an outstanding image generation model for text-to-image, but its time-consuming generation process remains a challenge due to the quadratic complexity of attent…
Slot State Space Models
Jindong Jiang, Fei Deng, Gautam Singh +2
Recent State Space Models (SSMs) such as S4, S5, and Mamba have shown remarkable computational benefits in long-range temporal dependency modeling. However, in many sequence modeli…