97 citations · 181 across the 12 of their papers we have counts for
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Fast Event-based Optical Flow Estimation by Triplet Matching
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras are novel bio-inspired sensors that offer advantages over traditional cameras (low latency, high dynamic range, low power, etc.). Optical flow estimation methods that…
A Fast Geometric Regularizer to Mitigate Event Collapse in the Contrast Maximization Framework
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras are emerging vision sensors and their advantages are suitable for various applications such as autonomous robots. Contrast maximization (CMax), which provides state-o…
Secrets of Event-Based Optical Flow
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Event cameras respond to scene dynamics and offer advantages to estimate motion. Following recent image-based deep-learning achievements, optical flow estimation methods for event…
Event Collapse in Contrast Maximization Frameworks
Shintaro Shiba, Yoshimitsu Aoki, Guillermo Gallego
Contrast maximization (CMax) is a framework that provides state-of-the-art results on several event-based computer vision tasks, such as ego-motion or optical flow estimation. Howe…
Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation
Naofumi Akimoto, Yuhi Matsuo, Yoshimitsu Aoki
We address the problem of generating a 360-degree image from a single image with a narrow field of view by estimating its surroundings. Previous methods suffered from overfitting t…