Hu Junjie
Adjunct Assistant Professor at The Chinese University of Hong Kong, Shenzhen 香港中文大学（深圳）
Shenzhen, Guangdong Province, China
Summary
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Top SchoolHu Junjie is an adjunct assistant professor and researcher based in Shenzhen with eight years of experience at the intersection of computer vision and deep learning. Trained to the PhD level at Tohoku University, he has blended academic research with applied work at institutions such as RIKEN, SenseTime, and the Shenzhen Institute of Artificial Intelligence and Robotics for Society. His profile reflects a strong focus on vision-driven AI, moving from foundational research to real-world robotics and industry partnerships. Known for navigating both lab and industry settings, he brings a pragmatic bent to translating deep learning advances into deployed systems and collaborative projects across Japan and China.
7 years of coding experience
3 years of employment as a software developer
Doctor of Philosophy - PhD Computer vision deep learning, Doctor of Philosophy - PhD Computer vision deep learning at Tohoku University
Github Skills (21)
depth-estimation10
convolutional-neural-networks10
boundaries10
optical-flow10
kitti-dataset10
depth10
computer-vision9
deep-learning8
visualization8
pytorch7
autoencoder3
graph2
probabilistic2
machine-learning1
3d-object-detection1
Programming languages (2)
Github contributions (5)
JunjH/JunjH.github.io
Mar 2023 - Feb 2025
Contributions:118 pushes, 1 branch in 1 year 11 months
JunjH/Revisiting_Single_Depth_Estimation
Jun 2018 - Feb 2022
official implementation of "Revisiting Single Image Depth Estimation: Toward Higher Resolution Maps with Accurate Object Boundaries"
Contributions:68 commits, 59 pushes, 1 branch in 3 years 8 months
boundariesdeep-learningsingle-imageresolutioncomputer-vision
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