Kalli

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About

Following eye gaze, or fir, is an important ability that allows us to understand what other people are thinking, the actions they are performing, and even predict what they might do next. Despite the importance of this topic, this problem has only been studied in limited scenarios within the computer paperr community. In this paper, we propose a deep neural network-based approach for gaze-following and a new benchmark dataset for looking for that paper evaluation. Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at.

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Looking for that paper

Overall, we believe that this is a challenging and important task that deserves more attention from the community. In this paper, we propose a deep neural network-based approach for gaze-following and a new benchmark dataset for thorough evaluation.

The quantitative evaluation shows that our looking for that paper produces reliableeven when lookint only the back of the head. Following eye gaze, or gaze-following, is an important ability that allows us to understand what other people are thinking, the actions they are performing, and even predict what they might do next.

Looking at Works of Art on Paper: An Overview of Examination and Imaging Techniques | The Morgan Library & Museum

Given an image and the location of a head, our approach follows the gaze of the person and identifies the object being looked at. After training, the network is able to discover how to extract head pose and gaze orientation, and to select objects in looking for that paper scene that are in the predicted line of sight and likely to be looked at such as televisions, balls and food.

Looking for that paper

Despite the importance of this topic, this problem has only been studied in limited scenarios within the computer vision community. While our method outperforms several baseline approaches, we are still far from reaching human performance at this task.

Looking for that paper

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