[2019] [2018] [2017]


Our paper entitled "Long/Short-Term Appearance Modeling and Two-Step Association for Multi-Object Tracking" is accepted by ITSC2019.

Our paper entitled "A Novel Background Subtraction Algorithm Based on Parallel Vision and Bayesian GANs" is accepted by Neurocomputing!

Congratulations! Our paper entitled "Parallel testing of vehicle intelligence via virtual-real interaction" is published on Science Robotics.

One paper accepted by 2019 International Joint Conference on Neural Networks (IJCNN)!

One paper accepted by Neurocomputing!


Our paper entitled “Cascade Learning from Adversarial Synthetic Images for Accurate Pupil Detection” is accepted by Pattern Recognition (IF: 3.965).

Our paper entitled “The ParallelEye Dataset: A Large Collection of Virtual Images for Traffic Vision Research” is accepted by IEEE Transactions on Intelligent Transportation Systems (IF: 4.051).

On June 26, we organized The First Workshop on Parallel Vision in Intelligent Vehicles, in Changshu, Jiangsu, China.

Our paper entitled “MFR-CNN: Incorporating Multi-Scale Features and Global Information for Traffic Object Detection” is accepted by IEEE Transactions on Vehicular Technology (IF: 4.066).

Kunfeng Wang is elevated to Senior Member of IEEE.

Our paper entitled “The ParallelEye-CS Dataset: Constructing Artificial Scenes for Evaluating the Visual Intelligence of Intelligent Vehicles” was accepted by IEEE IV 2018 Workshops.

Our paper entitled “Gaze-Aided Eye Detection via Appearance Learning” was accepted by ICPR 2018 (2018 International Conference on Pattern Recognition).

Our paper entitled "Generative adversarial networks: introduction and outlook" was rated among the hot papers by IEEE/CAA JAS.

Our paper entitled “Background Subtraction Algorithm Based on Bayesian Generative Adversarial Networks” was accepted by Acta Automatica Sinica.

Our paper entitled “M4CD: A Robust Change Detection Method for Intelligent Visual Surveillance” was accepted by IEEE Access.

Our two papers entitled “Generative Adversarial Networks: The State of the Art and Beyond” and “Advances and Perspectives on Applications of Deep Learning in Visual Object Detection” were rated as hot papers by Acta Automatica Sinica.

On February 2nd, the 2018 Intelligent Industries Summit was organized by Chinese Association of Automation in Qingdao. In this summit, Kunfeng Wang made a presentation entitled "Virtual-Real Interactive Parallel Vision: Building More Robust Intelligent Vision Systems".

We are organizing IV’18 Workshop on Parallel Vision in Intelligent Vehicles (Code: 319nv). See http://www.2018iv.org/WS03.html for details.

We are organizing the Special Issue on Virtual Images for Visual Artificial Intelligence at Neurocomputing. See Call for Paper of Neurocomputing Special Issue for details.


Some members of PVTIC attended the IVFC 2017 hold in Changshu, Jiangsu. Prof. Fei-Yue Wang was the Chief Referee.

Kunfeng Wang was appointed as President Assistant of QAII.

A paper entitled “Training and Testing Object Detectors with Virtual Images” was accepted by IEEE/CAA JAS.

A paper entitled “Generative adversarial networks: Introduction and outlook” was published in IEEE/CAA JAS.

A paper entitled “Parallel vision for perception and understanding of complex scenes: methods, framework, and perspectives” was published in Artificial Intelligence Review.

A paper entitled “A Joint Cascaded Framework for Simultaneous Eye Detection and Eye State Estimation” was published in Pattern Recognition.

Yonglin Tian, Lan Yan, and Xuesong Li obtained the B.E. degree in July 2017, and became graduate students since September 2017.

Chao Gou obtained the Ph.D. degree in Control Theory and Control Engineering from the University of Chinese Academy of Sciences, in July 2017. He joined the Institute of Automation, Chinese Academy of Sciences as an Assistant Professor.