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20242026
most citedIntuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

6 citations · 6 across the 3 of their papers we have counts for

collaborators

11 papers

cs.CV2026

AnyGroundBench: A Specialized-Domain Benchmark for Video Grounding in Vision-Language Models

Rintaro Otsubo, Ryo Fujii, Reina Ishikawa +6

Vision-Language Models (VLMs) have demonstrated immense promise in Spatio-Temporal Video Grounding (STVG). However, current evaluation protocols are largely confined to zero-shot a…

cs.CV20266 cited

Intuitive Surgical SurgToolLoc and SurgVU Challenges Results: 2022-2025

Aneeq Zia, Max Berniker, Rogerio Garcia Nespolo +153

Robotic assisted (RA) surgery promises to transform surgical intervention. Intuitive Surgical is committed to fostering these changes and the machine learning models and algorithms…

cs.CV2026

Learning from Synthetic Data via Provenance-Based Input Gradient Guidance

Koshiro Nagano, Ryo Fujii, Ryo Hachiuma +3

Learning methods using synthetic data have attracted attention as an effective approach for increasing the diversity of training data while reducing collection costs, thereby impro…

cs.CV2026

VIOLA: Towards Video In-Context Learning with Minimal Annotations

Ryo Fujii, Hideo Saito, Ryo Hachiuma

Generalizing Multimodal Large Language Models (MLLMs) to novel video domains is essential for real-world deployment but remains challenging due to the scarcity of labeled data. Whi…

cs.CV2025

Towards Predicting Any Human Trajectory In Context

Ryo Fujii, Hideo Saito, Ryo Hachiuma

Predicting accurate future trajectories of pedestrians is essential for autonomous systems but remains a challenging task due to the need for adaptability in different environments…

cs.CV2025

Human Preference-Aligned Concept Customization Benchmark via Decomposed Evaluation

Reina Ishikawa, Ryo Fujii, Hideo Saito +1

Evaluating concept customization is challenging, as it requires a comprehensive assessment of fidelity to generative prompts and concept images. Moreover, evaluating multiple conce…