Search Results for author: Anthony Vetro

Found 7 papers, 1 papers with code

Graph Signal Processing for Geometric Data and Beyond: Theory and Applications

no code implementations5 Aug 2020 Wei Hu, Jiahao Pang, Xian-Ming Liu, Dong Tian, Chia-Wen Lin, Anthony Vetro

Geometric data acquired from real-world scenes, e. g., 2D depth images, 3D point clouds, and 4D dynamic point clouds, have found a wide range of applications including immersive telepresence, autonomous driving, surveillance, etc.

Autonomous Driving

Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

no code implementations ICLR 2020 Jiawei Ma*, Zheng Shou*, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang

In order to impute the missing values, state-of-the-art methods are built on Recurrent Neural Networks (RNN), which process each time stamp sequentially, prohibiting the direct modeling of the relationship between distant time stamps.

Imputation Machine Translation +1

CDSA: Cross-Dimensional Self-Attention for Multivariate, Geo-tagged Time Series Imputation

1 code implementation23 May 2019 Jiawei Ma, Zheng Shou, Alireza Zareian, Hassan Mansour, Anthony Vetro, Shih-Fu Chang

In order to jointly capture the self-attention across multiple dimensions, including time, location and the sensor measurements, while maintain low computational complexity, we propose a novel approach called Cross-Dimensional Self-Attention (CDSA) to process each dimension sequentially, yet in an order-independent manner.

Imputation Machine Translation +1

Fast Resampling of 3D Point Clouds via Graphs

no code implementations11 Feb 2017 Siheng Chen, Dong Tian, Chen Feng, Anthony Vetro, Jelena Kovačević

We use a general feature-extraction operator to represent application-dependent features and propose a general reconstruction error to evaluate the quality of resampling.

Chebyshev and Conjugate Gradient Filters for Graph Image Denoising

no code implementations4 Sep 2015 Dong Tian, Hassan Mansour, Andrew Knyazev, Anthony Vetro

In 3D image/video acquisition, different views are often captured with varying noise levels across the views.

Image Denoising Image Enhancement

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