Jingdong Wang
Research Scientist
Summary
🤩
RockstarJingdong Wang is a research scientist and Chief Architect for computer vision in Baidu’s Artificial Intelligence Group with nine years of industry experience. He progressed to senior research leadership before taking on his current architect role, blending deep technical research with production-grade system design. Based in China, he focuses on applied computer vision at scale, likely driving architecture decisions that bridge novel models and real-world deployment. Jingdong’s background suggests a strong research-to-product mindset and an ability to translate advanced CV research into robust engineering solutions. Though not broadly public on GitHub, his senior positions imply significant impact on internal platforms and large-scale AI products.
9 years of coding experience
Github Skills (27)
representation-learning10
high-resolution10
high-resolution-net10
imagenet10
image-classification10
semantic-segmentation10
ocr10
mscoco10
human-pose-estimation10
deep-learning10
segmentation10
face-alignment10
object-detection10
faster-rcnn10
transformer10
Programming languages (4)
Github contributions (5)
leoxiaobin/deep-high-resolution-net.pytorch
Apr 2019 - Apr 2021
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Contributions:9 commits, 1 PR, 9 pushes in 2 years
human-pose-estimationrepresentation-learningdeep-learningcoco-keypoints-detectionmpii-dataset
HRNet/HRNet-Semantic-Segmentation
Aug 2019 - May 2021
The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919
Contributions:61 commits, 50 pushes, 8 comments in 1 year 8 months
ocrsegmentationsemantic-segmentationcityscapespascal-context
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