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Multiscale Point Cloud Geometry Compression
Recent years have witnessed the growth of point cloud based applications...
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Dense-View GEIs Set: View Space Covering for Gait Recognition based on Dense-View GAN
Gait recognition has proven to be effective for long-distance human reco...
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Benign Overfitting and Noisy Features
Modern machine learning often operates in the regime where the number of...
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Inferring Point Cloud Quality via Graph Similarity
We propose the GraphSIM – an objective metric to accurately predict the ...
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Hyperspectral Image Classification with Attention Aided CNNs
Convolutional neural networks (CNNs) have been widely used for hyperspec...
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Dual Temporal Memory Network for Efficient Video Object Segmentation
Video Object Segmentation (VOS) is typically formulated in a semi-superv...
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Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
In this paper, we propose an efficient and effective framework to fuse h...
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Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Current adoption of machine learning in industrial, societal and economi...
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Localization-aware Channel Pruning for Object Detection
Channel pruning is one of the important methods for deep model compressi...
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Video-based compression for plenoptic point clouds
The plenoptic point cloud that has multiple colors from various directio...
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Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Point cloud is a fundamental 3D representation which is widely used in r...
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Occupancy-map-based rate distortion optimization for video-based point cloud compression
The state-of-the-art video-based point cloud compression scheme projects...
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A Unified Analysis of Random Fourier Features
We provide the first unified theoretical analysis of supervised learning...
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Hybrid Point Cloud Attribute Compression Using Slice-based Layered Structure and Block-based Intra Prediction
Point cloud compression is a key enabler for the emerging applications o...
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Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
3D sensing and content capture have made significant progress in recent ...
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Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Emotion recognition from facial expressions is tremendously useful, espe...
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Co-projection-plane based 3-D padding for polyhedron projection for 360-degree video
The polyhedron projection for 360-degree video is becoming more and more...
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Projection based advanced motion model for cubic mapping for 360-degree video
This paper proposes a novel advanced motion model to handle the irregula...
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