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Research and Software for Transformation Models
I am a Professor in the College of Computer Science & the State Key Laboratory of CAD&CG at Zhejiang University. Before joining ZJU in 2017, I was a postdoctoral researcher at the GRASP Laboratory at University of Pennsylvania. My research interest lies in the field of 3D Computer Vision, particularly including 3D reconstruction, pose estimation, motion capture, and scene understanding, as well as their applications in mixed reality and robotics. Most of our works are open-sourced, please visit our Github Page to know more about our projects! I am looking for students, postdocs and research assistants, please fill out this form if you are interested in working with me.
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Implements an S3 class for storing and formatting time-of-day values, based on the difftime class.
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Hyperparameter optimization package of the mlr3 ecosystem. It features highly configurable search spaces via the paradox package and finds optimal hyperparameter configurations for any mlr3 learner. mlr3tuning works with several optimization algorithms e.g. Random Search, Iterated Racing, Bayesian Optimization (in mlr3mbo) and Hyperband (in mlr3hyperband). Moreover, it can automatically optimize learners and estimate the performance of optimized models with nested resampling.
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