Qiyu Sun

CoRR, 2023

IBAFormer: Intra-batch Attention Transformer for Domain Generalized Semantic Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

Causal reasoning in typical computer vision tasks.

[BibT_eX]

[DOI]

CoRR, 2023

Augment Features Beyond Color for Domain Generalized Segmentation.

[BibT_eX]

[DOI]

CoRR, 2023

RoMa: Revisiting Robust Losses for Dense Feature Matching.

[BibT_eX]

[DOI]

CoRR, 2023

Rethinking Unsupervised Domain Adaptation for Nighttime Tracking.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 30th International Conference, 2023

GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Unsupervised Estimation of Monocular Depth and VO in Dynamic Environments via Hybrid Masks.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Deep Direct Visual Odometry.

[BibT_eX]

[DOI]

Chaoqiang Zhao

Yang Tang

Athanasios V. Vasilakos

IEEE Trans. Intell. Transp. Syst., 2022

Aggressive Quadrotor Flight Using Curiosity-Driven Reinforcement Learning.

[BibT_eX]

[DOI]

IEEE Trans. Ind. Electron., 2022

Unsupervised Monocular Depth Estimation in Highly Complex Environments.

[BibT_eX]

[DOI]

Chaoqiang Zhao

Yang Tang

IEEE Trans. Emerg. Top. Comput. Intell., 2022

Distributed algorithms to determine eigenvectors of matrices on spatially distributed networks.

[BibT_eX]

[DOI]

Signal Process., 2022

Localized Stability Certificates for Spatially Distributed Systems over Sparse Proximity Graphs.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2022

An Ornithologist's Guide for Including Machine Learning in a Workflow to Identify a Secretive Focal Species from Recorded Audio.

[BibT_eX]

[DOI]

Remote. Sens., 2022

Molecular Joint Representation Learning via Multi-modal Information.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Nonlinear Couplings in Network of Agents from a Single Sample Trajectory.

[BibT_eX]

[DOI]

CoRR, 2022

Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview.

[BibT_eX]

[DOI]

CoRR, 2022

Towards Generalization on Real Domain for Single Image Dehazing via Meta-Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Fourier transforms on directed product graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Carleman Linearization of Nonlinear Systems and Its Finite-Section Approximations.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Fourier transform based on singular value decomposition of directed Laplacian.

[BibT_eX]

[DOI]

Yang Chen

CoRR, 2022

Wiener filters on graphs and distributed polynomial approximation algorithms.

[BibT_eX]

[DOI]

Cong Zheng

CoRR, 2022

CoDGraD: A Code-based Distributed Gradient Descent Scheme for Decentralized Convex Optimization.

[BibT_eX]

[DOI]

Elie Atallah

Nazanin Rahnavard

CoRR, 2022

Learn to Adapt for Monocular Depth Estimation.

[BibT_eX]

[DOI]

CoRR, 2022

Learning Nonlinear Couplings in Swarm of Agents from a Single Sample Trajectory.

[BibT_eX]

[DOI]

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

Masked GAN for Unsupervised Depth and Pose Prediction With Scale Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Multitask GANs for Semantic Segmentation and Depth Completion With Cycle Consistency.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

A Divide-and-Conquer Algorithm for Distributed Optimization on Networks.

[BibT_eX]

[DOI]

Nazar Emirov

Guohui Song

CoRR, 2021

2020

Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2020

Design of Nonsubsampled Graph Filter Banks via Lifting Schemes.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2020

Preconditioned Gradient Descent Algorithm for Inverse Filtering on Spatially Distributed Networks.

[BibT_eX]

[DOI]

Nazar Emirov

IEEE Signal Process. Lett., 2020

When Autonomous Systems Meet Accuracy and Transferability through AI: A Survey.

[BibT_eX]

[DOI]

Patterns, 2020

Inertial Proximal ADMM for Separable Multi-Block Convex Optimizations and Compressive Affine Phase Retrieval.

[BibT_eX]

[DOI]

Peng Li

Wengu Chen

CoRR, 2020

Multi-task GANs for Semantic Segmentation and Depth Completion with Cycle Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Random sampling and reconstruction of concentrated signals in a reproducing kernel space.

[BibT_eX]

[DOI]

Yaxu Li

Jun Xian

CoRR, 2020

Masked GANs for Unsupervised Depth and Pose Prediction with Scale Consistency.

[BibT_eX]

[DOI]

CoRR, 2020

Polynomial graph filter of multiple shifts and distributed implementation of inverse filtering.

[BibT_eX]

[DOI]

CoRR, 2020

Monocular Depth Estimation Based On Deep Learning: An Overview.

[BibT_eX]

[DOI]

CoRR, 2020

Perception and Decision-Making of Autonomous Systems in the Era of Learning: An Overview.

[BibT_eX]

[DOI]

CoRR, 2020

Quadratization of Hamilton-Jacobi-Bellman Equation for Near-Optimal Control of Nonlinear Systems.

[BibT_eX]

[DOI]

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Approximate Optimal Control Design for a Class of Nonlinear Systems by Lifting Hamilton-Jacobi-Bellman Equation.

[BibT_eX]

[DOI]

Proceedings of the 2020 American Control Conference, 2020

2019

Nonsubsampled Graph Filter Banks: Theory and Distributed Algorithms.

[BibT_eX]

[DOI]

Junzheng Jiang

IEEE Trans. Signal Process., 2019

Deep Direct Visual Odometry.

[BibT_eX]

[DOI]

Chaoqiang Zhao

Yang Tang

CoRR, 2019

Phase retrieval of complex and vector-valued functions.

[BibT_eX]

[DOI]

Yang Chen

CoRR, 2019

Measurable Observations for Network Observability.

[BibT_eX]

[DOI]

Hossein K. Mousavi

Proceedings of the 2019 American Control Conference, 2019

2018

Space-Time Sampling for Network Observability.

[BibT_eX]

[DOI]

Hossein K. Mousavi

CoRR, 2018

Stable Phaseless Sampling and Reconstruction of Real-Valued Signals with Finite Rate of Innovations.

[BibT_eX]

[DOI]

CoRR, 2018

Phase retrieval from the magnitudes of affine linear measurements.

[BibT_eX]

[DOI]

Adv. Appl. Math., 2018

Deep Convolutional Neural Networks With Integrated Quadratic Correlation Filters for Automatic Target Recognition.

[BibT_eX]

[DOI]

Brian Millikan

Hassan Foroosh

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018

2017

An Exact and Fast Computation of Discrete Fourier Transform for Polar and Spherical Grid.

[BibT_eX]

[DOI]

Alam Abbas Syed

Hassan Foroosh

IEEE Trans. Signal Process., 2017

Fast Detection of Compressively Sensed IR Targets Using Stochastically Trained Least Squares and Compressed Quadratic Correlation Filters.

[BibT_eX]

[DOI]

IEEE Trans. Aerosp. Electron. Syst., 2017

Phase Retrieval From Multiple-Window Short-Time Fourier Measurements.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2017

Sparsity and Spatial Localization Measures for Spatially Distributed Systems.

[BibT_eX]

[DOI]

SIAM J. Control. Optim., 2017

Nonsubsampled Graph Filter Banks and Distributed Implementation.

[BibT_eX]

[DOI]

Junzheng Jiang

CoRR, 2017

Phaseless Sampling and Reconstruction of Real-Valued Signals in Shift-Invariant Spaces.

[BibT_eX]

[DOI]

Junzheng Jiang

CoRR, 2017

2016

Frequency estimation of sinusoids from nonuniform samples.

[BibT_eX]

[DOI]

Alam Abbas Syed

Hassan Foroosh

Signal Process., 2016

Phase Retrieval of Real-Valued Signals in a Shift-Invariant Space.

[BibT_eX]

[DOI]

CoRR, 2016

Localized stability certificates for spatially distributed systems.

[BibT_eX]

[DOI]

Proceedings of the 55th IEEE Conference on Decision and Control, 2016

2015

Reconstruction of Sparse Wavelet Signals From Partial Fourier Measurements.

[BibT_eX]

[DOI]

Yang Chen

IEEE Signal Process. Lett., 2015

Nonlinear frames and sparse reconstructions in Banach spaces.

[BibT_eX]

[DOI]

Wai-Shing Tang

CoRR, 2015

Spatially Distributed Sampling and Reconstruction.

[BibT_eX]

[DOI]

Yingchun Jiang

CoRR, 2015

Initialized iterative reweighted least squares for automatic target recognition.

[BibT_eX]

[DOI]

Proceedings of the 34th IEEE Military Communications Conference, 2015

2014

A Unified Formulation of Gaussian Versus Sparse Stochastic Processes - Part I: Continuous-Domain Theory.

[BibT_eX]

[DOI]

Michael Unser

Pouya Dehghani Tafti

IEEE Trans. Inf. Theory, 2014

Sampling and Galerkin reconstruction in reproducing kernel spaces.

[BibT_eX]

[DOI]

Yingchun Jiang

CoRR, 2014

Localized nonlinear functional equations and two sampling problems in signal processing.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2014

Sparsity measures for spatially decaying systems.

[BibT_eX]

[DOI]

Proceedings of the American Control Conference, 2014

2013

The $abc$-problem for Gabor systems

[BibT_eX]

[DOI]

Xin-Rong Dai

CoRR, 2013

Recovery of bilevel causal signals with finite rate of innovation using positive sampling kernels

[BibT_eX]

[DOI]

Gayatri Ramesh

Elie Atallah

CoRR, 2013

Measuring sparsity in spatially interconnected systems.

[BibT_eX]

[DOI]

Proceedings of the 52nd IEEE Conference on Decision and Control, 2013

2012

Left-inverses of fractional Laplacian and sparse stochastic processes.

[BibT_eX]

[DOI]

Michael Unser

Adv. Comput. Math., 2012

2011

Sparse Approximation Property and Stable Recovery of Sparse Signals From Noisy Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2011

A unified formulation of Gaussian vs. sparse stochastic processes - Part I: Continuous-domain theory

[BibT_eX]

[DOI]

Michael Unser

Pouya Dehghani Tafti

CoRR, 2011

2010

Uncertainty Principles and Balian-Low type Theorems in Principal Shift-Invariant Spaces

[BibT_eX]

[DOI]

Akram Aldroubi

Haichao Wang

CoRR, 2010

Recovery of sparsest signals via ℓ<sup>q</sup>-minimization

[BibT_eX]

[DOI]

CoRR, 2010

Local reconstruction for sampling in shift-invariant spaces.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2010

2009

Sampling and Reconstruction of Signals in a Reproducing Kernel Subspace of $L^p({\Bbb R}^d)$

[BibT_eX]

[DOI]

M. Zuhair Nashed

CoRR, 2009

2008

Error Analysis of Frame Reconstruction From Noisy Samples.

[BibT_eX]

[DOI]

Akram Aldroubi

Casey Leonetti

IEEE Trans. Signal Process., 2008

Frames in spaces with finite rate of innovation.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2008

2007

Robust Image Watermarking Based on Multiband Wavelets and Empirical Mode Decomposition.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2007

On Direct Methods for Time-Limited Signal and Image Reconstruction and Enhancement.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2007

2006

Nonuniform Average Sampling and Reconstruction of Signals with Finite Rate of Innovation.

[BibT_eX]

[DOI]

SIAM J. Math. Anal., 2006

2004

Biorthogonal wavelet system for high-resolution image reconstruction.

[BibT_eX]

[DOI]

Lixin Shen

IEEE Trans. Signal Process., 2004

The Matrix-Valued Riesz Lemma and Local Orthonormal Bases in Shift-Invariant Spaces.

[BibT_eX]

[DOI]

Douglas P. Hardin

Thomas A. Hogan

Adv. Comput. Math., 2004

2003

Compactly Supported Tight Affine Frames with Integer Dilations and Maximum Vanishing Moments.

[BibT_eX]

[DOI]

Adv. Comput. Math., 2003

Preface.

[BibT_eX]

[DOI]

Akram Aldroubi