3 citations · 3 across the 11 of their papers we have counts for
11 papers
FoodLogAthl-218: Constructing a Real-World Food Image Dataset Using Dietary Management Applications
Mitsuki Watanabe, Sosuke Amano, Kiyoharu Aizawa +1
Food image classification models are crucial for dietary management applications because they reduce the burden of manual meal logging. However, most publicly available datasets fo…
360CityGML: Realistic and Interactive Urban Visualization System Integrating CityGML Model and 360° Videos
Tatsuro Banno, Mizuki Takenawa, Leslie Wöhler +2
We introduce a novel urban visualization system that integrates 3D urban model (CityGML) and 360° walkthrough videos. By aligning the videos with the model and dynamically projecti…
Building and Evaluating a Realistic Virtual World for Large Scale Urban Exploration from 360° Videos
Mizuki Takenawa, Naoki Sugimoto, Leslie Wöhler +2
We propose to build realistic virtual worlds, called 360RVW, for large urban environments directly from 360° videos. We provide an interface for interactive exploration, where user…
PerFace: Metric Learning in Perceptual Facial Similarity for Enhanced Face Anonymization
Haruka Kumagai, Leslie Wöhler, Satoshi Ikehata +1
In response to rising societal awareness of privacy concerns, face anonymization techniques have advanced, including the emergence of face-swapping methods that replace one identit…
A Highly Clean Recipe Dataset with Ingredient States Annotation for State Probing Task
Mashiro Toyooka, Kiyoharu Aizawa, Yoko Yamakata
Large Language Models (LLMs) are trained on a vast amount of procedural texts, but they do not directly observe real-world phenomena. In the context of cooking recipes, this poses…
FoodMLLM-JP: Leveraging Multimodal Large Language Models for Japanese Recipe Generation
Yuki Imajuku, Yoko Yamakata, Kiyoharu Aizawa
Research on food image understanding using recipe data has been a long-standing focus due to the diversity and complexity of the data. Moreover, food is inextricably linked to peop…
Investigating the Perception of Facial Anonymization Techniques in 360° Videos
Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa
In this work, we investigate facial anonymization techniques in 360° videos and assess their influence on the perceived realism, anonymization effect, and presence of participants.…
MangaUB: A Manga Understanding Benchmark for Large Multimodal Models
Hikaru Ikuta, Leslie Wöhler, Kiyoharu Aizawa
Manga is a popular medium that combines stylized drawings and text to convey stories. As manga panels differ from natural images, computational systems traditionally had to be desi…
Privacy Protection and Video Manipulation in Immersive Media
Leslie Wöhler, Satoshi Ikehata, Kiyoharu Aizawa
In comparison to traditional footage, 360° videos can convey engaging, immersive experiences and even be utilized to create interactive virtual environments. Like regular recording…
Entity-NeRF: Detecting and Removing Moving Entities in Urban Scenes
Takashi Otonari, Satoshi Ikehata, Kiyoharu Aizawa
Recent advancements in the study of Neural Radiance Fields (NeRF) for dynamic scenes often involve explicit modeling of scene dynamics. However, this approach faces challenges in m…
Intersection Prediction from Single 360° Image via Deep Detection of Possible Direction of Travel
Naoki Sugimoto, Satoshi Ikehata, Kiyoharu Aizawa
Movie-Map, an interactive first-person-view map that engages the user in a simulated walking experience, comprises short 360° video segments separated by traffic intersections that…