Biography

Tingting Han is currently with School of Computer Science and Technology, in Hangzhou Dianzi University (HDU). She received the B.S. and M.S. degrees in Computer Science and Technology, Harbin Institute of Technology (Harbin, China) in 2012 and 2014, respectively. She received her Ph.D. degree in Computer Application at Harbin Institute of Technology under the supervision of Prof. Hongxun Yao in 2019. From 2015 to 2016, she was a visiting scholar at the University of Michigan.

Her research interests include computer vision and its relations to nature language. She primarily focuses on the understanding of human activities in videos such as action recognition, action detection, and fine-grained action analysis. Her research results have been published in prestigious journals and conferences such as IEEE Trans. on Multimedia (TMM), Signal Processing, Neurocomputing, ACM Multimedia.

Selected Publications


Dancelets Mining for Video Recommendation Based on Dance Styles
Tingting Han, Hongxun Yao, Chenliang Xu, Xiaoshuai Sun, Yanhao Zhang, Jason J. Corso, "Dancelets Mining for Video Recommendation Based on Dance Styles," IEEE transaction on Multimedia (TMM), 19(4), pp. 712-724, 2017.
Actionness-Pooled Deep-Convolutional Descriptors for Fine-grained Action Recognition
Tingting Han, Hongxun Yao, Xiaoshuai Sun, Wenlong Xie, Sicheng Zhao, Wei Yu, "Actionness-Pooled Deep-Convolutional Descriptors for Fine-grained Action Recognition," Neurocomputing, 2019.
“Clustering of Dancelets” - Towards Video Recommendation Based on Dance Styles
Tingting Han, Hongxun Yao, Xiaoshuai Sun, Yanhao Zhang, Sicheng Zhao, Xiusheng Lu, Yinghao Huang, Wenlong Xie, "“Clustering of Dancelets” - Towards Video Recommendation Based on Dance Styles," ACM International Conference on Multimedia (MM), pp. 915-918, 2015.
Discovering Latent Discriminative Patterns for Multi-Mode Event Representation
Wenlong Xie, Hongxun Yao, Xiaoshuai Sun, Tingting Han, Sicheng Zhao, Tat-Seng Chua, "Discovering Latent Discriminative Patterns for Multi-Mode Event Representation," IEEE transaction on Multimedia (TMM), 2019.