Hou-ning Hu
Senior Software Engineer at MediaTek
Hsinchu City, Taiwan, Taiwan
Summary
👤
Senior🎓
Top SchoolHou-Ning Hu is a Senior Software Engineer at MediaTek with a decade of experience bridging academic research and product engineering in computer vision. He holds a Ph.D. from National Tsing Hua University and has focused on foundational 3D geometry, 3D object detection, and multi-object tracking, including contributions to the ICCV 2019 joint monocular 3D vehicle detection and tracking implementation. At MediaTek he leads a product team building deep-learning-powered applications, translating research prototypes into production-ready systems. His background includes industry research roles and international academic visits to RWTH Aachen and UC Berkeley, reflecting a global perspective on vision problems. Known for improving data pipelines and model training workflows, he blends rigorous theory with practical engineering to accelerate deployment.
10 years of coding experience
3 years of employment as a software developer
Visiting Scholar Student, Visiting Scholar Student at UC Berkeley Electrical Engineering & Computer Sciences (EECS)Bachelor of Engineering (B.Eng.), Bachelor of Engineering (B.Eng.) at National Chung Cheng UniversityVisiting Student, Visiting Student at RWTH Aachen UniversityDoctor of Philosophy - PhD, Doctor of Philosophy - PhD at National Tsing Hua University
Chinese, English
Github Skills (8)
pytorch10
python10
data-loading9
preprocess9
preprocessing9
dataprep9
data-preprocessing9
computer-vision9
Programming languages (1)
Github contributions (5)
ucbdrive/3d-vehicle-tracking
May 2019 - Feb 2020
Official implementation of Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019)
Role in this project:
ML Engineer
ML EngineerContributions:19 commits, 2 PRs, 13 pushes in 8 months
Contributions summary:Hou-ning primarily contributed to the 3D vehicle tracking project by updating the data loading and processing pipelines. They modified the data paths, updated data loaders to support new data formats (BDD), and removed unused files. They also made changes to plotting utilities and model training code, indicating involvement in the model's training and visualization aspects.
pytorchiccviccv-2019vehicle-detectionvehicle-detection-and-tracking
eborboihuc/Deep360Pilot-CVPR17
Jun 2017 - Aug 2017
Contributions:26 commits, 9 pushes, 3 comments in 2 months
pytorchagentdeep-learningvideoscomputer-vision
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