1 citations · 1 across the 7 of their papers we have counts for
7 papers
SAGE: Semantic Attribute Graphs for Multi-Entity Visual Retrieval
Yongjoo Kim, Mincheol Kwon, Seonga Choi +5
Dense document images often contain many fine-grained visual and textual entities whose relevance depends on a user query. Standard vision-language retrievers encode cropped region…
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…
SeekerGym: A Benchmark for Reliable Information Seeking
Remy Kim, Minseung Lee, Shuo Li +1
Despite their substantial successes, AI agents continue to face fundamental challenges in terms of trustworthiness. Consider deep research agents, tasked with searching for informa…
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…
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…
Neural Language of Thought Models
Yi-Fu Wu, Minseung Lee, Sungjin Ahn
The Language of Thought Hypothesis suggests that human cognition operates on a structured, language-like system of mental representations. While neural language models can naturall…