Jiaqi Wang is a research-focused software engineer and PhD candidate in Information Engineering at The Chinese University of Hong Kong with a decade of experience in computer vision, specializing in object detection and instance segmentation. They have academic research background reinforced by an internship at Microsoft Research Asia’s multimedia search group and practical open-source impact as a back-end developer and ML engineer on the widely used OpenMMLab mmdetection toolbox. Jiaqi’s contributions include stabilizing training and inference APIs, extending COCO dataset handling for variable proposal shapes, and refactoring configs and code to improve robustness for real-world detection pipelines. Based in Hong Kong, they bridge rigorous research and production-ready engineering, favoring API-level improvements that make advanced vision models easier to train and deploy.
9 years of coding experience
本科, 软件工程, 本科, 软件工程 at Sun Yat-sen University
博士, Information Engineering, 博士, Information Engineering at 香港中文大学
Contributions:1 review, 32 commits, 25 PRs in 2 years 8 months
Contributions summary:Jiaqi primarily contributed to the development of high-level APIs for the `mmdetection` library. Their work involved adding and fixing bugs related to training and inference APIs. The user also made changes to the datasets, specifically the COCO dataset, to support proposals with shapes (n, 5) and (n, 4). The user made a few modifications to existing config files, and also refactored and updated code.
Contributions:151 commits, 2 PRs, 293 pushes in 2 years 8 months
toolboxobject-detection
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