On 12th June 2026, Project Lecturer Shintaro Shiba, Department of Electrical Engineering, received SSII 2026 Interactive Session Audience Award.
SSII 2026 Interactive Session Audience Award
SSII is one of the largest domestic conferences on computer vision. The audience award is an award determined by votes cast by the audience members in attendance.
About awarded research
We propose a novel method for 3D scene reconstruction using event cameras. While event cameras are characterized by high temporal resolution, conventional methods have faced a trade-off between temporal resolution and computational cost. In this work, we propose a method that fundamentally resolves this trade-off by separating the parameters of appearance and geometric structure in 3D reconstruction.
Your impression & future plan
In computer vision, estimating motion and 3D structure of the world are two fundamental problems that are closely interrelated. This study, which demonstrates that event sensors that capture only temporal changes can accurately reconstruct the 3D appearance and structure of the world, highlights the connection between temporal and spatial information. We will continue our journey to fundamentally understand 3D and motion of the scene.
Ship Navigation Performance Test Basin has achieved the distinguished recognition of being certified as the 7th "Ship Heritage."
