collaborators

6 papers

cs.CV2026

Comparative validation of surgical phase recognition, instrument keypoint estimation, and instrument instance segmentation in endoscopy: Results of the PhaKIR 2024 challenge

Tobias Rueckert, David Rauber, Raphaela Maerkl +58

Reliable recognition and localization of surgical instruments in endoscopic video recordings are foundational for a wide range of applications in computer- and robot-assisted minim…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…

cs.CV2024

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…