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05/13/2022
A hybrid data driven-physics constrained Gaussian process regression framework with deep kernel for uncertainty quantification
Gaussian process regression (GPR) has been a well-known machine learning...
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04/16/2021
Finite Difference Nets: A Deep Recurrent Framework for Solving Evolution PDEs
There has been an arising trend of adopting deep learning methods to stu...
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12/12/2019
Learning Effective Visual Relationship Detector on 1 GPU
We present our winning solution to the Open Images 2019 Visual Relations...
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06/12/2019
Semi-Supervised Exploration in Image Retrieval
We present our solution to Landmark Image Retrieval Challenge 2019. This...
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12/19/2017
Real-time deep hair matting on mobile devices
Augmented reality is an emerging technology in many application domains....
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12/18/2007