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07/08/2023
BPNet: Bézier Primitive Segmentation on 3D Point Clouds
This paper proposes BPNet, a novel end-to-end deep learning framework to...
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02/20/2023
Dynamic Graph Neural Network with Adaptive Edge Attributes for Air Quality Predictions
Air quality prediction is a typical spatio-temporal modeling problem, wh...
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09/12/2022
An Embedding-Based Grocery Search Model at Instacart
The key to e-commerce search is how to best utilize the large yet noisy ...
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04/23/2022
Long-term Spatio-temporal Forecasting via Dynamic Multiple-Graph Attention
Many real-world ubiquitous applications, such as parking recommendations...
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09/16/2021
Efficient Path-Sensitive Data-Dependence Analysis
This paper presents a scalable path- and context-sensitive data-dependen...
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07/12/2021
Computational modelling and data-driven homogenisation of knitted membranes
Knitting is an effective technique for producing complex three-dimension...
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05/17/2021
Unknown-box Approximation to Improve Optical Character Recognition Performance
Optical character recognition (OCR) is a widely used pattern recognition...
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05/09/2021
Concurrent infill topology and shape optimisation of lattice-skin structures
Lattice-skin structures composed of a thin-shell skin and a lattice infi...
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06/05/2020
MSDU-net: A Multi-Scale Dilated U-net for Blur Detection
Blur detection is the separation of blurred and clear regions of an imag...
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06/17/2019
Topologically robust CAD model generation for structural optimisation
Computer-aided design (CAD) models play a crucial role in the design, ma...
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02/05/2019
A non-iterative method for robustly computing the intersections between a line and a curve or surface
The need to compute the intersections between a line and a high-order cu...
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10/18/2018