activity
20242026
collaborators

6 papers

cs.CV2026

Tanawpamana: Benchmarking Vision-Language Models on Philippine Cultural Heritage Sites

Ivan Yuri De Leon, Hiroki Ouchi, Sakriani Sakti

Vision-language models are increasingly used to identify and describe places, yet their recognition and knowledge of specific cultures remain poorly understood, particularly in und…

cs.CL2026

ATD-Trans: A Geographically Grounded Japanese-English Travelogue Translation Dataset

Shohei Higashiyama, Hiroki Ouchi, Atsushi Fujita +1

Geographic text, or textual data rich in geographic (geo-) information is a valuable source for various geographic applications, e.g., tourism management. Making such information a…

cs.CL2025

SimulSense: Sense-Driven Interpreting for Efficient Simultaneous Speech Translation

Haotian Tan, Hiroki Ouchi, Sakriani Sakti

How to make human-interpreter-like read/write decisions for simultaneous speech translation (SimulST) systems? Current state-of-the-art systems formulate SimulST as a multi-turn di…

cs.CV2025

VIR-Bench: Evaluating Geospatial and Temporal Understanding of MLLMs via Travel Video Itinerary Reconstruction

Hao Wang, Eiki Murata, Lingfang Zhang +11

Recent advances in multimodal large language models (MLLMs) have significantly enhanced video understanding capabilities, opening new possibilities for practical applications. Yet…

cs.CL2025

MobQA: A Benchmark Dataset for Semantic Understanding of Human Mobility Data through Question Answering

Hikaru Asano, Hiroki Ouchi, Akira Kasuga +1

This paper presents MobQA, a benchmark dataset designed to evaluate the semantic understanding capabilities of large language models (LLMs) for human mobility data through natural…

cs.CL2024

Text2Traj2Text: Learning-by-Synthesis Framework for Contextual Captioning of Human Movement Trajectories

Hikaru Asano, Ryo Yonetani, Taiki Sekii +1

This paper presents Text2Traj2Text, a novel learning-by-synthesis framework for captioning possible contexts behind shopper's trajectory data in retail stores. Our work will impact…