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Hi there, I am Shiyu Hu (胡世宇)!

I’ve got my Ph.D. degree at Institute of Automation, Chinese Academy of Sciences (**科学院自动化研究所) and University of Chinese Academy of Sciences (**科学院大学) in Jan. 2024, supervised by Prof. Kaiqi Huang (黄凯奇) (IAPR Fellow). I am also fortunate to work with Prof. Xin Zhao (赵鑫) to conduct research in computer vision. Before that, I received my master's degree from the Department of Computer Science, the University of Hong Kong (HKU) under the supervision of Prof. Choli Wang (王卓立).

I strongly hold the belief that the development of artificial intelligence is inherently interconnected with human factors. Hence, drawing inspiration from the renowned Turing Test, I have focused my investigation on the concept of Visual Turing Test, aiming to integrate human elements into the examination of dynamic visual tasks. The ultimate goal of my previous work is to assess and analyze machine vision intelligence by benchmarking against human capabilities. Please refer to the 🔍️ Research Interests for detailed information about my research foundation and ongoing projects.

📣 I am seeking a PostDoc position starting from Spring 2024. If you are interested in my research or would like to collaborate, please do not hesitate to contact me. You can download my CV here.

About My Github

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My Skill Set

Computer Vision

Python pytorch Keras OpenCV

Research

Linux LaTeX PowerShell Android Java Hadoop AWS Bash Git GitLab

Web Design

Nginx Flask HTML5 WordPress Bootstrap Photoshop

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Shiyu HU (胡世宇)'s Projects

darknet-cross icon darknet-cross

Light-weighted & Multi-platform & Multi-type GPU support Darknet Framework :smile: :smile: :smile:

music-style-transformation icon music-style-transformation

This project is the group work of HKU COMP7404 Group A, it aims to transfer an input no-jazz song to a jazz style with the NMT model.

videocube-toolkit icon videocube-toolkit

The official python toolkit for running experiments and evaluate performance on VideoCube benchmark @TPAMI2023

yolov3-on-android icon yolov3-on-android

Build an Android App for deploying YOLO V3 source code on mobile phone directly.

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