Kangle Deng
PhD Candidate
Pittsburgh, Pennsylvania, United States
Summary
🤩
Rockstar🎓
Top SchoolKangle Deng is a Computer Vision PhD candidate at Carnegie Mellon University with six years of hands-on experience building ML systems and research prototypes. Based in Pittsburgh, he combines academic rigor with practical engineering—recently improving a pix2pix3D project by adding mesh extraction via marching cubes and pyrender to turn 2D inputs into 3D objects. His work spans dataset and configuration support (edge2car, seg2cat), indicating strong adaptability across modalities and tooling. Comfortable contributing to open-source research code, he bridges the gap between experimental models and usable visualization pipelines.
6 years of coding experience
Carnegie Mellon University
Github Skills (4)
pytorch10
machine-learning10
computer-vision10
python10
Programming languages (5)
Github contributions (5)
dunbar12138/pix2pix3D
Feb 2023 - Mar 2023
pix2pix3D: Generating 3D Objects from 2D User Inputs
Role in this project:
ML Engineer
ML EngineerContributions:18 commits, 17 pushes, 28 comments in 24 days
Contributions summary:Kangle primarily focused on enhancing the `pix2pix3d` project with new features. Their contributions included adding functionality for mesh extraction, including the implementation of `extract_mesh.py`. This involved integrating the marching cubes algorithm and pyrender for mesh visualization. The user also added support for edge2car and seg2cat configuration, demonstrating familiarity with various data types and model configurations.
3d-ganeg3dpix2pix3d
dunbar12138/Audiovisual-Synthesis
Dec 2019 - Jul 2021
Unsupervised Any-to-many Audiovisual Synthesis via Exemplar Autoencoders
Contributions:13 commits, 12 pushes, 1 comment in 1 year 6 months
pytorchautoencodersexemplarsynthesisunsupervised
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