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DetailsNet_CVPR_2017
August 20, 2018 – August 14, 2018
Original code for the CVPR 2017 paper Removing Rain from Single Images via a Deep Detail Network
View ProjectDense-Photometric-Stereo
February 23, 2017 – April 27, 2016
Dense-Photometric-Stereo — GitHub repository
View ProjectRealSenceInterface
August 5, 2015 – April 1, 2015
Implement a nature interaction interface in cocos2d-x game engine using Intel RealSense technology. Create a pipeline to read gesture and joint data from Intel SDK, and dispatch the corresponding event to cocos2d-x event center.
View ProjectHandGestureDetection
April 26, 2015 – February 13, 2015
HandGestureDetection — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on computer vision, image processing, and deep learning, which aligns well with a Data Scientist role that often involves these areas. However, the projects are all personal and lack diversity in team-based or production-oriented environments. The absence of explicit data science tools (e.g., specific machine learning frameworks like TensorFlow/PyTorch, data manipulation libraries like Pandas, or big data technologies) suggests a potential gap in direct alignment with typical Data Scientist responsibilities beyond computer vision.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions are concise and technical, but do not provide insight into collaboration, problem-solving approach, or communication style.