Pei Yang 杨沛

Pei Yang 杨沛

Glasgow College, University of Electronic Science and Technology of China

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Pages

Posts

Future Blog Post

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This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.

Blog Post number 3

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Blog Post number 2

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Blog Post number 1

less than 1 minute read

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portfolio



Image and Video Dehazing

📅 10/2022  📍 Chengdu
🏫 Glasgow College, UESTC
🤝 with LI Sipei 李思培, PANG Yuxuan 庞宇轩, ZHANG Jiuchuan 张九川
🏷️ Digital image processing



⭐ Smart Autonomous Rover Design

📅 2/2022 - 6/2022  📍 Chengdu
🏫 Glasgow College, UESTC
🤝 with CUI Sijie 崔思捷, FENG Zihao 冯梓豪, HE Renjie 何人杰, LI Sipei 李思培, WU Haoyang 吴昊洋, XU Ben 徐本, YAN Zecheng 严泽成, YUE Haiyi 岳海艺, ZHENG Xiaochen 郑孝辰
🏷️ Team design project, computer vision, machine learning, lane following, microcontroller



Masked-Unmasked Face Recognition

📅 5/2021 - 7/2021  📍 Online
🏫 School of Computing, National University of Singapore
🤝 with LI Zuguang 李祖光, ZHANG Hao 张昊, ZHANG Zhiqi 张志奇
🏷️ Face recognition, MtCNN, FaceNet, landmark detection, synthesised mask generation, CelebA



Traffic Sign Recognition

📅 1/2021 - 2/2021  📍 Online
🏫 School of Computing, National University of Singapore
🤝 with MENG Ziheng 孟子恒, WANG Shiya 王诗雅, YANG Yuxin 杨语欣
🏷️ Convolutional neural network, German Traffic Sign Recognition Benchmark

publications

Regional Saliency Map Attack for Medical Image Segmentation

Published in 2022 IEEE International Conference on Image Processing (ICIP), 2022

State-of-the-art Deep Neural Networks (DNNs) are promoting medical image processing. However, DNNs are susceptible to adversarial attacks, which could significantly deteriorate model performances and pose a threat to clinical diagnoses. One common method for prevention is through adversarial training, which is highly dependent on harnessing adversarial examples during the training stage. However, adversarial medical examples generated by many existing works are too perceptible to be adversarial examples. To improve the imperceptibility, we proposed a Regional Saliency Map Attack that generates an adversarial example by only perturbing a small number of pixels. Extensive experiments have shown that, on average, our method caused the same degradation in model performance by quantitatively less perceptible perturbations. Visualisations have also verified that the improvement in imperceptibility in an image is both global and regional.

Recommended citation: P. Yang and H. Wang, "Regional Saliency Map Attack for Medical Image Segmentation," 2022 IEEE International Conference on Image Processing (ICIP), 2022, pp. 846-850, doi: 10.1109/ICIP46576.2022.9898066. https://doi.org/10.1109/ICIP46576.2022.9898066

talks



Introductory Aerial Cinematography (in Chinese)

Published:

Aerial cinematography is becoming increasingly important to today’s news and movie industries. This talk introduces everyone to aerial cinematography. It begins with introducing the brief history of aerial cinematography and drone history, demonstrating the strong correlation between cutting-edge technology and available camera languages. It then introduces the structure and components of today’s typical commercial drones. Next, the talk introduces related laws, regulations, and safety instructions. The talk then covers three main topics: aerial photography, fundamentals of aerial cinematography, and techniques and tricks. The talk also covers future trends in aerial cinematography. Finally, the talk discusses people’s attitudes towards drones, advocating a dialectical and open perspective towards promising technology.



Simple Relations Behind Complex Systems

Published:

Scaling relations widely exist in complex systems. Kleiber’s law described an empirical $\frac{3}{4}$ factor of metabolic scaling. The WBE theory then verified a series of biological scaling relations, including the Kleiber’s law. In 2007, Bettencourt et al. discovered that similar scaling relations also widely exist in cities, while Bettencourt alone then gave a more general scaling model for urban regions of varying structures.

teaching

Teaching Assistant

Introductory Programming, Glasgow College, University of Electronic Science and Technology of China, 2022