2 citations · 2 across the 6 of their papers we have counts for
6 papers
ReQuest: Rethinking-based Question-Aware Frame Selection for Long-Form Video QA
Minkuk Kim, Suyong Yun, Young Tae Kim +3
Recent multimodal large language models (MLLMs) have substantially advanced video understanding, yet long-form video QA remains challenging under fixed input token budgets, where u…
HiCM: Hierarchical Compact Memory Modeling for Dense Video Captioning
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon +2
With the growing demand for solutions to real-world video challenges, interest in dense video captioning (DVC) has been on the rise. DVC involves the automatic captioning and local…
Retrieval-Augmented Natural Language Reasoning for Explainable Visual Question Answering
Su Hyeon Lim, Minkuk Kim, Hyeon Bae Kim +1
Visual Question Answering with Natural Language Explanation (VQA-NLE) task is challenging due to its high demand for reasoning-based inference. Recent VQA-NLE studies focus on enha…
Mask-Free Neuron Concept Annotation for Interpreting Neural Networks in Medical Domain
Hyeon Bae Kim, Yong Hyun Ahn, Seong Tae Kim
Recent advancements in deep neural networks have shown promise in aiding disease diagnosis and medical decision-making. However, ensuring transparent decision-making processes of A…
Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval
Minkuk Kim, Hyeon Bae Kim, Jinyoung Moon +2
There has been significant attention to the research on dense video captioning, which aims to automatically localize and caption all events within untrimmed video. Several studies…
WWW: A Unified Framework for Explaining What, Where and Why of Neural Networks by Interpretation of Neuron Concepts
Yong Hyun Ahn, Hyeon Bae Kim, Seong Tae Kim
Recent advancements in neural networks have showcased their remarkable capabilities across various domains. Despite these successes, the "black box" problem still remains. Addressi…