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Minh Phuoc Vo
Research Scientist
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Research
I am very interested in various aspects of 3D vision and physics-based vision (e.g., shape, motion, reflectance, and illumination) for human scene understanding. The goal is to develop holistic and end-to-end machine learning systems that understand and recreate virtual environments that are perceptually indistinguishable from reality.
Internships: I am always looking for strong graduate students to collaborate with. If you are interested in interning at FRL with me, send me an email detailing what your research interests are, and what you would like to work on during the internship.
Award
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May. 2017 Won the Qualcomm Innovation Fellowship with Aayush Bansal. See here for the press coverage.
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Jan. 2014 Our "Stereo Reconstruction" paper (with my previous group) has been awarded Outstanding Paper from Measurement Science and Technology.
Patent
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Jan. 2020 Scene reconstruction from bursts of image data Thanks the MSR mentors: Neel and Sudipta.
Publication
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BANMo: Building Animatable 3D Neural Models from Many Casual Videos
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Ego4D: Around the World in 3,000 Hours of Egocentric Video
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ODAM: Object Detection, Association, and Mapping using Posed RGB Video
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ContactOpt: Optimizing Contact to Improve Grasps
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ANR: Articulated Neural Rendering for Virtual Avatars
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TexMesh: Reconstructing Detailed Human Texture and Geometry from Monocular Video
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Long-term Human Motion Prediction with Scene Context
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4D Visualization of Dynamic Events from Unconstrained Multi-View Videos
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Spatiotemporal Bundle Adjustment for Dynamic 3D Human Reconstruction in the Wild
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Self-supervised Multi-view Person Association and Its Applications
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Occlusion-Net: 2D/3D Occluded Keypoint Localization Using Graph Networks
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CarFusion: Combining Part Detection and Point Tracking for Dynamic 3D Reconstruction of Vehicles
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Texture Illumination Separation for Single-shot Structured Light Reconstruction
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Passive Tomography of Turbulance Strength
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Automated fast initial guess in digital image correlation
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Hyper-accurate flexible calibration technique for fringe-projection-based three-dimensional imaging
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Three-dimensional phantoms for curvature correction in spatial frequency domain imaging
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Advanced geometric camera calibration for machine vision
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Accuracy enhancement of digital image correlation with B-spline interpolation
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Phase extraction from optical interferograms in presence of intensity nonlinearity and arbitrary phase shifts
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Flexible calibration technique for fringe-projection-based three-dimensional imaging
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Others
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Exploiting Point Motion, Shape Deformation, and Semantic Priors for Dynamic 3D Reconstruction in the Wild
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External Coverage
