research
∙
07/20/2023
Nonlinear Meta-Learning Can Guarantee Faster Rates
Many recent theoretical works on meta-learning aim to achieve guarantees...
share
research
∙
05/09/2023
Learning Dynamic Point Cloud Compression via Hierarchical Inter-frame Block Matching
3D dynamic point cloud (DPC) compression relies on mining its temporal c...
research
∙
09/26/2022
Multiscale Latent-Guided Entropy Model for LiDAR Point Cloud Compression
The non-uniform distribution and extremely sparse nature of the LiDAR po...
research
∙
08/02/2022
Optimal Rates for Regularized Conditional Mean Embedding Learning
We address the consistency of a kernel ridge regression estimate of the ...
research
∙
07/25/2022
Inter-Frame Compression for Dynamic Point Cloud Geometry Coding
Efficient point cloud compression is essential for applications like vir...
research
∙
05/31/2022
Hide and Seek: on the Stealthiness of Attacks against Deep Learning Systems
With the growing popularity of artificial intelligence and machine learn...
research
∙
05/02/2022
D-DPCC: Deep Dynamic Point Cloud Compression via 3D Motion Prediction
The non-uniformly distributed nature of the 3D dynamic point cloud (DPC)...
research
∙
11/20/2021
Sparse Tensor-based Multiscale Representation for Point Cloud Geometry Compression
This study develops a unified Point Cloud Geometry (PCG) compression met...
research
∙
11/15/2021
Improving Prosody for Unseen Texts in Speech Synthesis by Utilizing Linguistic Information and Noisy Data
Recent advancements in end-to-end speech synthesis have made it possible...
research
∙
09/22/2021
Sharp Analysis of Random Fourier Features in Classification
We study the theoretical properties of random Fourier features classific...
research
∙
08/09/2021
No-Reference Image Quality Assessment by Hallucinating Pristine Features
In this paper, we propose a no-reference (NR) image quality assessment (...
research
∙
07/29/2021
Video-based Point Cloud Compression Artifact Removal
Photo-realistic point cloud capture and transmission are the fundamental...
research
∙
06/15/2021
A Lightweight ReLU-Based Feature Fusion for Aerial Scene Classification
In this paper, we propose a transfer-learning based model construction t...
research
∙
06/06/2021
Towards an Understanding of Benign Overfitting in Neural Networks
Modern machine learning models often employ a huge number of parameters ...
research
∙
11/07/2020
Multiscale Point Cloud Geometry Compression
Recent years have witnessed the growth of point cloud based applications...
research
∙
09/26/2020
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...
research
∙
08/06/2020
Benign Overfitting and Noisy Features
Modern machine learning often operates in the regime where the number of...
research
∙
05/31/2020
Inferring Point Cloud Quality via Graph Similarity
We propose the GraphSIM – an objective metric to accurately predict the ...
research
∙
05/25/2020
Hyperspectral Image Classification with Attention Aided CNNs
Convolutional neural networks (CNNs) have been widely used for hyperspec...
research
∙
03/13/2020
Dual Temporal Memory Network for Efficient Video Object Segmentation
Video Object Segmentation (VOS) is typically formulated in a semi-superv...
research
∙
02/04/2020
Classification of Hyperspectral and LiDAR Data Using Coupled CNNs
In this paper, we propose an efficient and effective framework to fuse h...
research
∙
11/11/2019
Kernel Dependence Regularizers and Gaussian Processes with Applications to Algorithmic Fairness
Current adoption of machine learning in industrial, societal and economi...
research
∙
11/06/2019
Localization-aware Channel Pruning for Object Detection
Channel pruning is one of the important methods for deep model compressi...
research
∙
11/04/2019
Video-based compression for plenoptic point clouds
The plenoptic point cloud that has multiple colors from various directio...
research
∙
04/18/2019
Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds
Point cloud is a fundamental 3D representation which is widely used in r...
research
∙
02/11/2019
Occupancy-map-based rate distortion optimization for video-based point cloud compression
The state-of-the-art video-based point cloud compression scheme projects...
research
∙
06/24/2018
A Unified Analysis of Random Fourier Features
We provide the first unified theoretical analysis of supervised learning...
research
∙
04/28/2018
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...
research
∙
10/10/2017
Attribute Compression of 3D Point Clouds Using Laplacian Sparsity Optimized Graph Transform
3D sensing and content capture have made significant progress in recent ...
research
∙
09/10/2017
Robust Emotion Recognition from Low Quality and Low Bit Rate Video: A Deep Learning Approach
Emotion recognition from facial expressions is tremendously useful, espe...
research
∙
04/27/2017
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...
research
∙
02/21/2017
