research
∙
09/08/2023
A Two-Stage Training Framework for Joint Speech Compression and Enhancement
This paper considers the joint compression and enhancement problem for s...
share
research
∙
04/29/2023
Sparsity-Aware Optimal Transport for Unsupervised Restoration Learning
Recent studies show that, without any prior model, the unsupervised rest...
research
∙
04/11/2023
Loop Closure Detection Based on Object-level Spatial Layout and Semantic Consistency
Visual simultaneous localization and mapping (SLAM) systems face challen...
research
∙
06/21/2022
Optimally Controllable Perceptual Lossy Compression
Recent studies in lossy compression show that distortion and perceptual ...
research
∙
12/13/2021
Simple and Robust Loss Design for Multi-Label Learning with Missing Labels
Multi-label learning in the presence of missing labels (MLML) is a chall...
research
∙
08/04/2021
Optimal Transport for Unsupervised Restoration Learning
Recently, much progress has been made in unsupervised restoration learni...
research
∙
06/05/2021
On Perceptual Lossy Compression: The Cost of Perceptual Reconstruction and An Optimal Training Framework
Lossy compression algorithms are typically designed to achieve the lowes...
research
∙
01/20/2021
Scalable Deep Compressive Sensing
Deep learning has been used to image compressive sensing (CS) for enhanc...
research
∙
11/09/2020
FPGA-based Hyrbid Memory Emulation System
Hybrid memory systems, comprised of emerging non-volatile memory (NVM) a...
research
∙
08/04/2020
Simultaneous Consensus Maximization and Model Fitting
Maximum consensus (MC) robust fitting is a fundamental problem in low-le...
research
∙
04/21/2020
AMP-Net: Denoising based Deep Unfolding for Compressive Image Sensing
Most compressive sensing (CS) reconstruction methods can be divided into...
research
∙
04/12/2020
Hardware Memory Management for Future Mobile Hybrid Memory Systems
The current mobile applications have rapidly growing memory footprints, ...
research
∙
06/16/2019
Blind Image Deblurring Using Patch-Wise Minimal Pixels Regularization
Blind image deblurring is a long standing challenging problem in image p...
research
∙
05/14/2019
Robust Precoding Design for Coarsely Quantized MU-MIMO Under Channel Uncertainties
Recently, multi-user multiple input multiple output (MU-MIMO) systems wi...
research
∙
03/02/2019
Matrix Completion via Nonconvex Regularization: Convergence of the Proximal Gradient Algorithm
Matrix completion has attracted much interest in the past decade in mach...
research
∙
08/16/2018
Nonconvex Regularization Based Sparse and Low-Rank Recovery in Signal Processing, Statistics, and Machine Learning
In the past decade, sparse and low-rank recovery have drawn much attenti...
research
∙
08/09/2018
Efficient Outlier Removal for Large Scale Global Structure-from-Motion
This work addresses the outlier removal problem in large-scale global st...
research
∙
04/02/2018
Benefit of Joint DOA and Delay Estimation with Application to Indoor Localization in WiFi and 5G
Accurate indoor localization has long been a challenging problem due to ...
research
∙
04/02/2018
Joint DOA and Delay Estimation for 3D Indoor Localization in Next Generation WiFi and 5G
This paper address the joint direction-of-arrival (DOA) and time delay (...
research
∙
04/15/2016