128 citations · 129 across the 5 of their papers we have counts for
5 papers
Graph Sparsification for GCN Towards Optimal Crop Yield Predictions
Saghar Bagheri, Gene Cheung, Tim Eadie
In agronomics, predicting crop yield at a per field/county granularity is important for farmers to minimize uncertainty and plan seeding for the next crop cycle. While state-of-the…
Volumetric Attribute Compression for 3D Point Clouds using Feedforward Network with Geometric Attention
Tam Thuc Do, Philip A. Chou, Gene Cheung
We study 3D point cloud attribute compression using a volumetric approach: given a target volumetric attribute function , we quantize and e…
Unsupervised Graph Spectral Feature Denoising for Crop Yield Prediction
Saghar Bagheri, Chinthaka Dinesh, Gene Cheung +1
Prediction of annual crop yields at a county granularity is important for national food production and price stability. In this paper, towards the goal of better crop yield predict…
Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis
Yuan Yuan, Gene Cheung, Patrick Le Callet +2
A depth image provides partial geometric information of a 3D scene, namely the shapes of physical objects as observed from a particular viewpoint. This information is important whe…
Random Walk Graph Laplacian based Smoothness Prior for Soft Decoding of JPEG Images
Xianming Liu, Gene Cheung, Xiaolin Wu +1
Given the prevalence of JPEG compressed images, optimizing image reconstruction from the compressed format remains an important problem. Instead of simply reconstructing a pixel bl…