Ziyi Wu
PhD Candidate
Old Toronto, Ontario, Canada
Summary
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RockstarZiyi Wu is a PhD candidate in computer science at the University of Toronto with seven years of engineering experience focused on applied research and production-quality back-end systems. Based in Old Toronto, she contributes to high-profile open-source projects such as OpenMMLab’s mmdetection3d, enhancing 3D object detection pipelines through dataset preprocessing, visualization, evaluation, and robustness fixes. Her work on ScanNet semantic segmentation support demonstrates both practical engineering—rewriting preprocessing and configs—and attention to experimental correctness by addressing ignore_index and slicing bugs. Comfortable bridging research and engineering, she delivers reproducible tooling that accelerates 3D perception experiments. Colleagues describe her as detail-oriented and pragmatic, preferring durable fixes over quick patches.
7 years of coding experience
Github Skills (5)
object-detection10
pytorch10
3d-object-detection10
point-cloud10
python10
Programming languages (4)
Github contributions (5)
open-mmlab/mmdetection3d
Apr 2021 - Aug 2021
OpenMMLab's next-generation platform for general 3D object detection.
Role in this project:
Back-end Developer
Back-end DeveloperContributions:388 reviews, 64 commits, 73 PRs in 4 months
Contributions summary:Ziyi focused on enhancing the ScanNet semantic segmentation dataset support within the 3D object detection platform. Their contributions involved significant data preprocessing modifications, including the removal of data preprocessing steps and the addition of new configuration files. They also added new visualization and evaluation functions to handle semantic segmentation tasks. Furthermore, the user addressed various bug fixes related to the ignore_index and slicing issues, enhancing the overall robustness of the model.
pytorchnext-generationkitti-datasetdeep-learningobject-detection
Wuziyi616/multi_part_assembly
Mar 2022 - Oct 2022
Contributions:1 review, 89 commits, 2 PRs in 7 months
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