I’m a Ph.D. student focused on computer vision and machine learning from Technische Universität München, with topic of deep learning techniques for representation and processing of 3D data for complex visual tasks. Selected sponsored works by Microsoft - CNTK on Mac, Google - tiny-dnn and Facebook Reality Labs.
Ph.D candidate in TUM
- Munich, Germany
- https://wangyida.github.io/
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gan-depth-semantic3d Public
Adversarial Semantic Scene Completion from a Single Depth Image, accepted in 3DV 2018
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VO-handpose Public
Variational Object-aware 3D Hand Pose from a Single RGB Image, accepted in IROS 2019
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caffe Public
Forked from BVLC/caffe
Caffe: a fast framework for deep learning. For the most recent version checkout the dev branch. For the latest stable release checkout the master branch.
424 contributions in the last year
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