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08/18/2023
Training with Product Digital Twins for AutoRetail Checkout
Automating the checkout process is important in smart retail, where user...
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03/28/2023
Large-scale Training Data Search for Object Re-identification
We consider a scenario where we have access to the target domain, but ca...
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01/23/2023
CircNet: Meshing 3D Point Clouds with Circumcenter Detection
Reconstructing 3D point clouds into triangle meshes is a key problem in ...
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12/29/2021
DeePN^2: A deep learning-based non-Newtonian hydrodynamic model
A long standing problem in the modeling of non-Newtonian hydrodynamics i...
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12/03/2021
Geometric Feature Learning for 3D Meshes
Geometric feature learning for 3D meshes is central to computer graphics...
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03/28/2021
Picasso: A CUDA-based Library for Deep Learning over 3D Meshes
We present Picasso, a CUDA-based library comprising novel modules for de...
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03/13/2021
Potential Escalator-related Injury Identification and Prevention Based on Multi-module Integrated System for Public Health
Escalator-related injuries threaten public health with the widespread us...
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02/02/2021
Effective Mori-Zwanzig equation for the reduced-order modeling of stochastic systems
Built upon the hypoelliptic analysis of the effective Mori-Zwanzig (EMZ)...
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03/07/2020
Machine learning based non-Newtonian fluid model with molecular fidelity
We introduce a machine-learning-based framework for constructing continu...
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09/20/2019
Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds
We propose a spherical kernel for efficient graph convolution of 3D poin...
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02/28/2019
Octree guided CNN with Spherical Kernels for 3D Point Clouds
We propose an octree guided neural network architecture and spherical co...
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11/25/2016