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Jiaxin Wu (Nikki)google scholar
I am currently a PhD student at VIREO, Department of Computer Science, City University of Hong Kong under the supervision of Prof. Chong Wah Ngo. My research interests are computer vision, deep learning, video summarization and video retrieval. Before joining CityU, I received my master degree from the college of computer science and software engineering, Shenzhen University, supervised by Dr. Sheng-hua Zhong and Prof. Jianmin Jiang. |
Education :
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Master degree |
College of Computer Science and Software Engineering, Shenzhen
University |
2015-2018 |
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bachelor degree |
College of Computer Science and Software Engineering, Shenzhen
University |
2011-2015 |
Awards :
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Outstanding Post-graduated |
Shenzhen University |
2018 |
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National Scholarship |
Ministry of Education of the People's Republic of China |
2016 |
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Outstanding Graduates |
Shenzhen University |
2015 |
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IBM Excellent Student |
China Scholarship Council & IBM (China) |
2014 |
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Excellent Student of Academic Performance (Top Prize ) |
Shenzhen University |
2013 |
Publications :
Journals
[1] Sheng-hua Zhong#, Jiaxin Wu#, Jianmin Jiang*. Video summarization via spatio-temporal deep architecture. Neurocomputing, 332, pp. 224-235, 2019 (# equal contribution). [pdf]
[2] Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Stephen J. Heinen*, Human Eye Movements Reveal Video Frame Importance, Computer, 52(5), pp.48-57, 2019. [pdf]
[3] Jiaxin Wu#, Sheng-hua Zhong#, Zheng Ma, Stephen J. Heinen, Jianmin Jiang*. Foveated convolutional neural networks for video summarization. Multimedia Tools and Applications (MTAP). 77(22), pp. 29245-29267, 2018. (# equal contribution). [pdf]
[4] Jiaxin Wu, Sheng-hua Zhong*, Jianmin Jiang, Yunyun Yang. A novel clustering method for static video summarization. Multimedia Tools and Applications (MTAP). 76(7), pp. 9625-9641, 2017. [pdf]
Conferences
[1]Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, and Benoit Huet, VIREO @ Video Browser Showdown 2020, In the proceeding of the International Conference on Multimedia Modeling (MMM), pp. 772-777, 2020. [pdf]
[2]Jiaxin Wu, Sheng-hua Zhong, Yan Liu, MvsGCN: A novel graph convolutional network for multi-video summarization, In the proceeding of the ACM Multimedia (MM), pp. 827-835, 2019. [pdf]
[3] Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Stephen J. Heinen, Object-based and multi-frame motion information predict human eye movement patterns during video viewing, In the proceeding of the International Symposium on Electronic Imaging (ISEI) , 2019. [pdf]
[4] Jiaxin Wu, Sheng-hua Zhong, Zheng Ma, Stephen J. Heinen, Jianmin Jiang, Gaze Aware Deep Learning Model for Video Summarization, In the proceeding of the Pacific Rim Conference on Multimedia (PCM), pp. 285-295, 2018. [pdf]
[5] Sheng-hua Zhong, Jiaxin Wu, Yingying Zhu*, Peiqi Liu, Jiangmin Jiang, Yan Liu, Visual orientation inhomogeneity based on convolutional neural networks, In the proceeding of the International Conference on Tools with Artificial Intelligence (ICTAI), pp. 477-484, 2016. [pdf]
Journals
[1] Sheng-hua Zhong#, Jiaxin Wu#, Jianmin Jiang*. Video summarization via spatio-temporal deep architecture. Neurocomputing, 332, pp. 224-235, 2019 (# equal contribution). [pdf]
[2] Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Jianmin Jiang, Stephen J. Heinen*, Human Eye Movements Reveal Video Frame Importance, Computer, 52(5), pp.48-57, 2019. [pdf]
[3] Jiaxin Wu#, Sheng-hua Zhong#, Zheng Ma, Stephen J. Heinen, Jianmin Jiang*. Foveated convolutional neural networks for video summarization. Multimedia Tools and Applications (MTAP). 77(22), pp. 29245-29267, 2018. (# equal contribution). [pdf]
[4] Jiaxin Wu, Sheng-hua Zhong*, Jianmin Jiang, Yunyun Yang. A novel clustering method for static video summarization. Multimedia Tools and Applications (MTAP). 76(7), pp. 9625-9641, 2017. [pdf]
Conferences
[1]Phuong Anh Nguyen, Jiaxin Wu, Chong-Wah Ngo, Danny Francis, and Benoit Huet, VIREO @ Video Browser Showdown 2020, In the proceeding of the International Conference on Multimedia Modeling (MMM), pp. 772-777, 2020. [pdf]
[2]Jiaxin Wu, Sheng-hua Zhong, Yan Liu, MvsGCN: A novel graph convolutional network for multi-video summarization, In the proceeding of the ACM Multimedia (MM), pp. 827-835, 2019. [pdf]
[3] Zheng Ma, Jiaxin Wu, Sheng-hua Zhong, Stephen J. Heinen, Object-based and multi-frame motion information predict human eye movement patterns during video viewing, In the proceeding of the International Symposium on Electronic Imaging (ISEI) , 2019. [pdf]
[4] Jiaxin Wu, Sheng-hua Zhong, Zheng Ma, Stephen J. Heinen, Jianmin Jiang, Gaze Aware Deep Learning Model for Video Summarization, In the proceeding of the Pacific Rim Conference on Multimedia (PCM), pp. 285-295, 2018. [pdf]
[5] Sheng-hua Zhong, Jiaxin Wu, Yingying Zhu*, Peiqi Liu, Jiangmin Jiang, Yan Liu, Visual orientation inhomogeneity based on convolutional neural networks, In the proceeding of the International Conference on Tools with Artificial Intelligence (ICTAI), pp. 477-484, 2016. [pdf]
