Second-Year Postgraduate Student
School of Information Science and Engineering
Southeast University (SEU), Nanjing, China.
I am broadly interested in image processing, computer vision, and deep learning. The current research of mine focuses on object detection and face detection.
Welcome to contact me.
➤ 06/2020 - Our ACFD ranks No.1 on IJCAI-iCartoon Face Challenge (Detecton Track).
➤ 01/2020 - The code of our AME-KPN is released at [Attention-Mechanism-Enhanced-KPN].
➤ 01/2020 - One paper is accepted by ICASSP 2020 (oral).
➤ 11/2019 - Joined in Tencent Youtu Lab as a research intern.
➤ 08/2019 - One paper is accepted by IEEE Access.
➤ 03/2019 - Be an inter in Arcsoft.
➤ 02/2019 - Be a peer reviewer of IEEE Transcations on Signal Processing (TSP).
➤ 02/2019 - Joined IEEE Student Membership.
➤ 11/2018 - Our team won the 1st Place in the algorithm design task of 2018 JSCVC.
➤ 06/2018 - Be an inter in Govion.
➤ 09/2017 - Our team won the 1st Place in the National College Student Electronic Design Competition.
➤ 09/2017 - Be a recommended postgraduate of SEU.
➤ 01/2017 - Formed a group for student practice & research.
➤ 09/2016 - Won the National Scholarship at HHU.
➤ 09/2016 - Be the Chair of College Student Science and Technology Association.
M.S. in Electronic and Communication Engineering, research interests: multivariate signal processing, image processing, computer vision, etc.
Advisor: Prof. Yili Xia.
B.S. in Communication Engineering, GPA: 4.82/5.00 (Top-3).
Advisor: Prof. Guanying Huo.
ACFD: Asymmetric Cartoon Face Detector,
Bin Zhang*, Jian Li*, Yabiao Wang, Zhipeng Cui, Yili Xia, Chengjie Wang, Jilin Li, and Feiyue Huang,
arXiv 2007.00899, 2020.
1st place of 2020 IJCAI iCarton Face Challenge (Detection Track).
Attention Mechanism Enhanced Kernel Prediction Networks for Denoising of Burst Images,
Bin Zhang, Shenyao Jin, Yili Xia, Yongming Huang, and Zixiang Xiong,
International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2020.
A two-dimensional multivariate mode decomposition algorithm for multi-image fusion,
Yili Xia, Bin Zhang, and Wenjiang Pei.
A fast implementation of bidimensional multivariate mode decomposition algorithm,
Yili Xia, Bin Zhang, and Wenjiang Pei.
• Studied the commonly used noise models of camera, managed to generate sRGB training dataset as similar as possible to the real-world data, and developed a software to yield noisy images for image denoising and super resolution tasks.
• Investigated and studied the learning based image denoising algorithms especially for burst of images and videos, and improved them for the better generalization to real-world noisy images.
Advisor: Kai Chen
• Based on the traditional image processing algorithms, designed and developed the core algorithms for detecting defects of LCD and OLED panels, such as MURA, bubble, color edges, and so on.
• Some algorithms have been applied on the products.
Advisor: Dr. Zhiwei Ruan
➤ Program Language: Python, C/C++, Matlab
➤ Libraries and others: PyTorch, OpenCV, Linux, git, docker, TensorFlow, LaTeX
➤ 06/2020, First Place of iCartoonFace Challenge, IJCAI 2020 Grand Challenge.
➤ 11/2019, First-Class Scholarship, Southeast University.
➤ 11/2018, Outstanding Winner of Jiangsu Postgraduate Computer Vision Innovation & Practice Competition, Zhenjiang, Jiangsu.
➤ 09/2017, First Place of National College Student Electronic Design Competition, Nanjing, Jiangsu.
➤ 06/2017, Haiyun Fenghua Outstanding Student, Hohai University.
➤ 12/2016, Innovation Start, Hohai University.
➤ 11/2016, National Undergraduate Scholarship, Hohai University.
➤ 11/2016, Outstanding Science Volunteer, Changzhou, Jiangsu.
➤ 10/2016, Provinicial First Prize and National Thrid Prize of International Contest of innovAtioN (ICAN), Beijing.
➤ 01/2016, Excellent Student Cadre, Hohai University.
➤ 08/2016, First Place of College Student Smart Internet Innovation Application Design Contest, Shanghai.
➤ 09/2015, Provincial Grand Prize and National Third Prize of National Undergraduate IOT Design Contest, Shanghai.
Copyright© 2020 Bin Zhang.