My name is Xian Zhang. I am a master student at Harbin Engineering University (HEU) with a major in Software Engineering. I am fortunate to be supervised by Dr. Yiran Shen, who taught me how to do research and write papers. I will finish my graduate study in June 2022.
Prior to HEU, I received the B.Eng degree in Software Engineering from Nanchang University. During that period, I learned a lot of basic knowledge about computer science and cultivated my interest in it.
My research interests include Computer Vision, Natural Language Processing, Deep Learning, Intenet of Things, and event stream. Currently, I am focusing on event-based vision.
Download my resumé.
M.Eng. in Software Engineering, 2022
Harbin Engineering University
B.Eng. in Software Engineering, 2017
A dataset of sign language words consisted of 11200 samples using DVS sensor is published. In order to further utilize both the spatial and temporal distribution of the events, a new image-like representation of event stream is proposed which consider neighborhood events for frame generating. The proposed frame representation achieves a recognition accuracy of 93.25%.
This work focus on the human gait identification task using event camera, which has much higher temporal resolution and larger dynamic range. A large real-world gait recognition dataset recorded by event camera is released to the community to further facilitate the research on event-based gait recognition. To deal with the unique output of event cameras, a converting method is used to group events into frame forms, thus conventional CNN can be adopted on this representation. To better capture spatial temporal information from events, a new 3D-Graph method is proposed to represent events, and graph neural network is applied to learn to feature embeddding of graph. The proposed graph based approach outperforms CNN-based counterpart by 7.6%.