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On January 6th, 2020, Mr. Kaiqiang HUANG [黄凯强] of TU Dublin, Dublin, Ireland gave his research talk Human Action Recognition using Zero Shot Learning [零次学习运用于人体动作识别] at 14:30 in our meeting room 920 in our office building 53 [合肥学院53 栋920]. Mr. Huang received his Bachelor from our university [合肥学院] and TU Dublin in 2016 before doing his Master's at TU Dublin, where he now has become a fully-funded PhD student. His talk, introducing a method to combine semantic side information with learned human actions was highly exciting for the audience. In the over 15 minutes of discussion that followed, we delved into the depths of this interesting topic, which is directly relevant to the work of several of our team mates. I think our school can be proud of Mr. Huang, who has grown very much and has become an excellent researcher in such a short time.

1. Abstract

In recent years, many works in the computer vision field have explored the human action or activity recognition problem using still images or videos. However, there is a demand for methods that can classify instances from classes that are not present in the stage of training models, especially in the complex task of automatic video understanding, since collecting, annotating, and labeling videos are difficult and laborious tasks.

2. Short Bio (English)

Mr. Kaiqiang HUANG [黄凯强] was awarded the B.Sc. degree in Computer Science at Hefei University [合肥学院] and TU Dublin in 2016. He received his M.Sc. in Data Analytics at TU Dublin in 2018. In February 2018, he participated in an internship at CeADAR, Ireland’s national center for Applied Data Analytics and AI, as software developer working on the implementation of Geographic Information System using Python for three months. Since July 2018, he studying for his PhD at TU Dublin with full scholarship.

3. Short Bio (Chinese)

黄凯强:2016 年获得合肥学院及爱尔兰都柏林理工大学计算机专业学士 学位,2018 年获得都柏林理工大学硕士学位。2018 年3 月在爱尔兰都柏林 CeADAR 研究所实习三个月,参与项目《基于GIS 地理信息系统的Python 开 发》。2018 年7 月至今,在都柏林理工大学攻读博士学位,获得爱尔兰 Fiosraigh 全额奖学金,专业方向计算机视觉中迁移学习的研究与应用。

4. Photos

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