Zhiyuan You (尤志远)

I am a first-year Ph.D. student from MMLab, The Chinese University of Hong Kong, supervised by Prof. Tianfan Xue and Prof. Chao Dong. I received both my Bachelor's and Master's degrees from Shanghai Jiao Tong University, supervised by Prof. Xinyi Le and Prof. Yu Zheng.

I spent a wonderful time in Horizon Robotics and SenseTime as a research intern, mentored by Dr. Yuelong Yu and Mr. Kai Yang, respectively.

My current research interest mainly lies in multi-modality vision for low-level vision.

CV  /  Google Scholar  /  Github
Email: zhiyuanyou [at] foxmail [dot] com

My previous work mainly focused on anomaly detection, few-shot learning, and industrial visual inspection. (*: Equal Contribution, †: Corresponding Author)

We introduce DepictQA, leveraging Multi-modal Large Language Models, allowing for detailed, language-based, and human-like evaluation of image quality.

We present UniAD that accomplishes anomaly detection for multiple classes with a unified framework.

We propose a novel SAFECount block, equipped with a similarity comparison module and a feature enhancement module for few-shot object counting.

We propose ADTR to apply a transformer to reconstruct pre-trained features for anomaly detection, and propose novel losses to extend ADTR to anomaly-available case (both image-level & pixel-level labeled).

We introduce UTRAD, a U-TRansformer based Anomaly Detection framework.

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