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cs.CV2026
Event Cameras versus Frame Cameras for Synthetic-Aperture Imaging: A Simulation Study
Jakob Hinterholzer, Mohamed Youssef, Oliver Bimber
Synthetic-aperture imaging (SAI) removes occluders such as foliage by integrating many views of a scene along a camera path. It has so far been used mainly with frame cameras. We a…
cs.CV2026
Boundary-by-Mask: Few-Shot Instance Segmentation with Mask-Conditioned Boundary Learning for Texture-Poor Industrial Parts
Yutaka Yoshinaga, Naoya Chiba, Koichi Hashimoto
Recent advances in large pre-trained models have led to remarkable progress in instance segmentation on general images. However, industrial scenarios remain challenging. Instance d…
cs.CV2025
Hierarchical Image-Guided 3D Point Cloud Segmentation in Industrial Scenes via Multi-View Bayesian Fusion
Yu Zhu, Naoya Chiba, Koichi Hashimoto
Reliable 3D segmentation is critical for understanding complex scenes with dense layouts and multi-scale objects, as commonly seen in industrial environments. In such scenarios, he…