Peiyu Yang

I am a PhD student at the the University of Western Australia advised by Prof Ajmal Mian, A/Prof Naveed Akhtar, and A/Prof Zeyi Wen. I received my master degree from Northeastern University supervised by Prof. Lu Wang . My research interests include explainable artificial intelligence, robust model training and adversarial attacks.

Email / Google Scholar / Github

News

Jan 7, 2023: Our paper Re-Calibrating Feature Attributions for Model Interpretation has been accpeted by ICLR 2023 Spotlight!

Publications

	Re-Calibrating Feature Attributions for Model Interpretation Peiyu Yang, Naveed Akhtar, Zeyi Wen, Mubarak Shah, Ajmal Mian. International Conference on Learning Representations (ICLR), 2023. Code/bibtex
	Local Path Integration for Attribution Peiyu Yang, Naveed Akhtar, Zeyi Wen, Ajmal Mian. AAAI Conference on Artificial Intelligence (AAAI), 2023. Code/bibtex
	Multi-Grained Interpretable Network for Image Recognition Peiyu Yang, Zeyi Wen, Ajmal Mian. International Conference on Pattern Recognition (ICPR), 2022. bibtex
	Visible Part Prediction and Temporal Calibration for Pedestrian Detection Peiyu Yang, Weixi Li, Lu Wang, Lisheng Xu, Qingxu Deng. IET Image Processing (IETIP), 2023. bibtex
	A Part-Aware Multi-Scale Fully Convolutional Network for Pedestrian Detection Peiyu Yang, Guofeng Zhang, Lu Wang, Lisheng Xu, Qingxu Deng, Ming-Hsuan Yang. IEEE Transaction on on Intelligent Transportation Systems (TITS), 2021. Code/bibtex
	Hardhat-Wearing Detection Based on a Lightweight Convolutional Neural Network with Multi-Scale Features and a Top-Down Module Lu Wang, Liangbin Xie, Peiyu Yang, Qingxu Deng, Shuo Du, Lisheng Xu. Sensor, 2022. bibtex
	A Local Top-Down Module for Object Detection with Multi-scale Features Shihua Huang, Lu Wang, Peiyu Yang, Qingxu Deng. Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 2022. bibtex