Master student

Graphics Group, Communications and Multimedia Laboratory
National Taiwan University
Email: wangzx1994 [at]

I am now a 2-year master student of the Communication and Multimedia Laboratory affiliated at the Department of CSIE, National Taiwan University, supervised by Prof. Yung-Yu Chuang. Before that, I received my B.Eng degree in Automation from Nanjing Normal University in 2017. My research interests include Computer Vision (e.g., Person re-ID) and Computational Photography. I am fortunate to work closely with Dr. Zheng Wang and Prof. Yinqiang Zheng.



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Anonymous Title CVPR 2019 (Under review)

Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang and Shin'ichi Satoh
Project page PDF BibTeX

Anonymous Title

Anonymous Title CVPR 2019 (Under review)

Zhixiang Wang, Yinqiang Zheng and Yung-Yu Chuang
Project page PDF BibTeX

Before 2018

Long-range Hand Gesture Recognition with Joint SSD Network

Long-range Hand Gesture Recognition with Joint SSD Network IEEE International Conference on Robotics and Biomimetics (ROBIO)

Chengming Yi, Liguang Zhou*, Zhixiang Wang, Zhenglong Sun and Changgeng Tan.

The hand gesture recognition plays an important role in the human-computer interaction (HCI) field. Previous works mainly focused on researching this task in the shorter distance, which can only be applied in a limited scenario due to the recognition distance constrains. In this paper, we propose a method, which is named Joint Single Shot Multibox Detector (JSSD) network, to solve the hard long-distance hand gesture recognition task. The method is based on the framework of SSD. Our model employed two SSDs for object detection. One is for the head-shoulder region detection and the other is for the hand gesture bounding box proposal and classification. We validate our proposed model on real data collected from USB camera at several distance levels. The experiment results show that our method is more robust and precise in recognizing the hand gestures at a longer distance. Concretely, JSSD network is able to recognize the hand gestures captured up to 6 meters away from the camera.

Array-enhanced logical stochastical resonance subject to colored noise

Array-enhanced logical stochastical resonance subject to colored noise Chinese Journal of Physics (SCI/SCIE)

Zhixiang Wang, Zijian Qiao, Liguang Zhou, and Lei Zhang.

This paper proposes an approach that uses a parallel array to improve the reliability and robustness of logical stochastic resonance subject to colored noise. The experimental results demonstrate that (i) the increase of array size can extend the optimal range of noise intensity and increase the maximum probability of obtaining correct logic operation. (ii) The optimal range of noise correlation time is broadened with the increase of array size. (iii) The main difference between logical stochastic resonance subject to white noise and colored noise is that the increase of noise correlation time broadens the optimal range of noise intensity when the stochastic noise is colored noise. At the same time, the maximum probability of obtaining correct logic operation is close to 1. Therefore, reliable and robust logic gate can be realized under a certain array size.

Selected Projects

Graduate works

Nonlinear System

Heterogeneous Person Re-identification

Tags: #Computer Vision, #Image-based Retrieval
Project page

Search cross Night and Day: TBA


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Controlled Imaging Polarimetry

Tags: #Computational Photography, #Computer Vision, #Physics-based Vision
Project page

Feasible Polarimetric Camera Calibration: TBA.

Polarimetric Camera Self-calibration : TBA.

Undergraduate works

Nonlinear System

Nonlinear System

Tags: #Physics, #Nonlinear Science
Project page Movie PDF

Logical Stochastical Resonance: We proposed two effective methods to improve the performance of Logic Stochastic Resonance based on observation of system characteristics. One uses a parallel array to interact with noise correlation time and the other utilizes the asymmetry of the nonlinear system. I published one first author paper (SCI) and also won the Excellent Bachelor Thesis Award.

Chaos: TBA

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Tags: #Robotics, #Perception, #Planning, #Control
Project page Movie PDF(published in Chinese)

Autonomous Tree Climbing Robot: We used a Kinect to capture the 3D point cloud of the tree. Then, we generate a feasible and optimal motion and trajectory based on the specified start and end point. It is obtained according to the 3D tree model combined with the previously built climbing stability constraints. Lastly, we developed the embedded control algorithm making the robot move autonomously according to the planned result.

``Freescale Cup'' Intelligent Car Race: We developed two car-like mobile robots, one using electromagnetic sensors and the other using CMOS camera, as well as a wheeled inverted pendulum robot which can track complex road autonomously with high speed (≥ 2.5m/s). My efforts involve signal processing, robot position estimation, control algorithm developing and tuning.


Awards & Honors

  • 2013-2017  NJNU Outstanding Student Scholarship (total 7 times)
  • 2017           NJNU Excellent Bachelor Thesis Award
  • 2016          1st Prize in NJNU Mathematical Modelling Contest
  • 2016          Honorable Mention in Mathematical Contest in Modeling (MCM/ICM)
  • 2015          Champion in Freescale Cup National University Students Intelligent Car Race (China East Regional Competition)
  • 2014          1st Prize in NJNU Intelligent Car Competition


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National Institute of Informatics

Jan. 2018 - present

Details: Polarimetric Imaging and Heterogeneous Person Re-identification.

Chinese University of Hong Kong (SZ)

Jul. 2016 - Aug. 2016

Details: Autonomous Tree Climbing Robot. Worked at Prof. Yangsheng Xu's Lab.

Googol Technology Limited

Aug. 2015

Details: Rigid body geometric interpolation.

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