Paper-Conference

G-Head: Gating Head for Multi-task Learning in One-stage Object Detection
Object detection is commonly formulated as a multi-task learning problem in deep learning methods. Due to the di-vergence between …
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A Flexible Calibration Algorithm for High-speed Bionic Vision System based on Galvanometer
Traditional gimbal-based bionic eye systems usually use a multi-degree-of-freedom mechanical platform to move the camera freely, which …
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DLA: Dynamic Label Assignment for Accurate One-stage Object Detection
One-stage object detector has been the most widely used framework in modern object detection due to its excellent performance and high …
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An Efficient Watershed Algorithm for Preprocessed Binary Image
Over-segmentation of a grayscale image is a typical problem in existing watershed algorithms. To overcome this problem, preprocessing …
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A Full-pixel Optical Flow System using a GPU-based High-frame-rate Vision
This paper reports real-time full-pixel optical flow system that can simultaneously estimate pixelwise motion distributions of 512×512 …
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Real-time LOC-based Morphological Cell Analysis System using High-speed Vision
In this paper, a high-speed vision-based morphological analysis system for fast-flowing cells in a microchannel implementing a …
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Rapid Vision-based Shape and Motion Analysis System for Fast-flowing Cells in a Microchannel
This paper proposes a novel method for simultaneous cell shape and motion analysis in rapid microchannel flows based on a multi-object …
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A Fast Color Tracking System with Automatic Exposure Control
This paper proposes a fast motion-compensated structured-light method that realizes 3-D shape measurement of moving object at 500 …
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Fast Tracking System for Multi-colored Pie-shaped Markers
In this study, we develop a real-time high-speed color vision system to track multi-colored pie-shaped markers in 512 × 512 images at …
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2000-fps Multi-object Tracking based on Color Histogram
In this study, we develop a real-time, color histogram-based tracking system for multiple color-patterned objects in a 512×512 image at …
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