Wenxuan Wu
Senior Software Engineer at Momenta
Corvallis, Oregon, United States
Summary
👤
Senior🎓
Top SchoolWenxuan Wu is a Senior Software Engineer in Corvallis with eight years of hands-on expertise at the intersection of computer vision and deep learning, specializing in 3D DNNs, Visual SLAM, stereo vision and 3D reconstruction. He led development of end-to-end autonomous driving simulation and novel view synthesis systems at Momenta, built a BEVFormer-based auto-labeling pipeline, and developed a road-surface reconstruction algorithm comparable to industry leaders. His PhD work produced PointConv, an efficient convolution for 3D point clouds that cut memory use dramatically while improving ScanNet segmentation accuracy, reflecting a rare combination of theoretical insight and production-grade implementation. Prior research internships at Waymo, Facebook Reality Labs, Nuro and Intel Labs further sharpened his perception and SLAM skills in real-world robotics and AR/VR settings. Comfortable moving projects from research to deployed systems, he also brings project initiation and management experience across complex perception stacks.
8 years of coding experience
Doctor of Philosophy - PhD Computer Science, Doctor of Philosophy - PhD Computer Science at Oregon State UniversityMaster's degree Laser and Optical Engineering, Master's degree Laser and Optical Engineering at Beijing Institute of Technology
Github Skills (18)
pointnet10
scene10
hierarchical9
autoencoder9
classification9
segmentation9
feature-matching8
point-cloud8
matching7
computer-vision6
deep-learning6
wikipedia6
pytorch5
graph4
pose-estimation4
Programming languages (2)
Github contributions (5)
DylanWusee/pointconv
Feb 2019 - Oct 2019
Contributions:34 commits, 2 pushes, 12 comments in 7 months
DylanWusee/PointPWC
May 2020 - Dec 2020
PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.
Contributions:23 commits, 3 PRs, 15 pushes in 7 months
3d-scenepoint-cloudsfineestimationpoint
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