Titlebook: Computer Vision – ECCV 2018 Workshops; Munich, Germany, Sep Laura Leal-Taixé,Stefan Roth Conference proceedings 2019 Springer Nature Switze

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patriarch

Convolutional Neural Network for Trajectory Predictionnd safely interact with humans, trajectory prediction needs to be both precise and computationally efficient. In this work, we propose a convolutional neural network (CNN) based human trajectory prediction approach. Unlike more recent LSTM-based moles which attend sequentially to each frame, our mod

尖酸一点

Action Alignment from Gaze Cues in Human-Human and Human-Robot Interactionn individuals share their intentions, it creates a social interaction that drives the mutual alignment of their actions and behavior. To understand the intentions of others, we strongly rely on the gaze cues. According to the role each person plays in the interaction, the resulting alignment of the

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excrete

978-3-030-11014-7Springer Nature Switzerland AG 2019

词汇

Computer Vision – ECCV 2018 Workshops978-3-030-11015-4Series ISSN 0302-9743 Series E-ISSN 1611-3349

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错误

Deep Learning for Automated Tagging of Fashion Imagess. Our prediction system hosts several classifiers working at scale to populate a catalogue of millions of products. We provide details of our models as well as the challenges involved in predicting Fashion attributes in a relatively homogeneous problem space.

慢跑鞋

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/234200.jpg

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