Risheng Liu

According to our database1, Risheng Liu authored at least 234 papers between 2009 and 2024.

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Bibliography

2024
Multiscale Synergism Ensemble Progressive and Contrastive Investigation for Image Restoration.
IEEE Trans. Instrum. Meas., 2024

Learning Deep Scene Curve for Fast and Robust Underwater Image Enhancement.
IEEE Signal Process. Lett., 2024

From Text to Pixels: A Context-Aware Semantic Synergy Solution for Infrared and Visible Image Fusion.
CoRR, 2024

2023
Publisher Correction: Bilevel modeling investigated generative adversarial framework for image restoration.
Vis. Comput., December, 2023

Value-Function-Based Sequential Minimization for Bi-Level Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

Hierarchical Optimization-Derived Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

SSoB: searching a scene-oriented architecture for underwater object detection.
Vis. Comput., November, 2023

Bilevel modeling investigated generative adversarial framework for image restoration.
Vis. Comput., November, 2023

Learning Heavily-Degraded Prior for Underwater Object Detection.
IEEE Trans. Circuits Syst. Video Technol., November, 2023

SMPR: Single-stage multi-person pose regression.
Pattern Recognit., November, 2023

A unified image fusion framework with flexible bilevel paradigm integration.
Vis. Comput., October, 2023

HoLoCo: Holistic and local contrastive learning network for multi-exposure image fusion.
Inf. Fusion, July, 2023

Learning With Nested Scene Modeling and Cooperative Architecture Search for Low-Light Vision.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Learning adaptive hyper-guidance via proxy-based bilevel optimization for image enhancement.
Vis. Comput., April, 2023

Low-Light Image Enhancement via Self-Reinforced Retinex Projection Model.
IEEE Trans. Multim., 2023

Optimization-Inspired Learning With Architecture Augmentations and Control Mechanisms for Low-Level Vision.
IEEE Trans. Image Process., 2023

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions.
IEEE Trans. Image Process., 2023

Breaking Free From Fusion Rule: A Fully Semantic-Driven Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2023

Investigating intrinsic degradation factors by multi-branch aggregation for real-world underwater image enhancement.
Pattern Recognit., 2023

A General Descent Aggregation Framework for Gradient-Based Bi-Level Optimization.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

An interactively reinforced paradigm for joint infrared-visible image fusion and saliency object detection.
Inf. Fusion, 2023

Rethinking general underwater object detection: Datasets, challenges, and solutions.
Neurocomputing, 2023

Learn from the Past: A Proxy based Adversarial Defense Framework to Boost Robustness.
CoRR, 2023

Diving into Darkness: A Dual-Modulated Framework for High-Fidelity Super-Resolution in Ultra-Dark Environments.
CoRR, 2023

Trash to Treasure: Low-Light Object Detection via Decomposition-and-Aggregation.
CoRR, 2023

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-free Multi-Exposure Image Fusion.
CoRR, 2023

AdvMono3D: Advanced Monocular 3D Object Detection with Depth-Aware Robust Adversarial Training.
CoRR, 2023

Dual Adversarial Resilience for Collaborating Robust Underwater Image Enhancement and Perception.
CoRR, 2023

Enhancing Infrared Small Target Detection Robustness with Bi-Level Adversarial Framework.
CoRR, 2023

ASF-Net: Robust Video Deraining via Temporal Alignment and Online Adaptive Learning.
CoRR, 2023

Improving Misaligned Multi-modality Image Fusion with One-stage Progressive Dense Registration.
CoRR, 2023

Learning with Constraint Learning: New Perspective, Solution Strategy and Various Applications.
CoRR, 2023

Joint Perceptual Learning for Enhancement and Object Detection in Underwater Scenarios.
CoRR, 2023

Bilevel Fast Scene Adaptation for Low-Light Image Enhancement.
CoRR, 2023

Contrastive Learning Based Recursive Dynamic Multi-Scale Network for Image Deraining.
CoRR, 2023

A Task-guided, Implicitly-searched and Meta-initialized Deep Model for Image Fusion.
CoRR, 2023

Embracing Compact and Robust Architectures for Multi-Exposure Image Fusion.
CoRR, 2023

MonoTDP: Twin Depth Perception for Monocular 3D Object Detection in Adverse Scenes.
CoRR, 2023

NFI<sub>2</sub>: Learning Noise-Free Illuminance-Interpolator for Unsupervised Low-Light Image Enhancement.
CoRR, 2023

Modality-Invariant Representation for Infrared and Visible Image Registration.
CoRR, 2023

Enhancing Visual Understanding by Removing Dithering with Global and Self-Conditioned Transformation.
Proceedings of the 16th International Symposium on Visual Information Communication and Interaction, 2023

LAPRNet: Lightweight Airborne Particle Removal Network for LiDAR Point Clouds.
Proceedings of the Image and Video Technology - 11th Pacific-Rim Symposium, 2023

Exploring a Distillation with Embedded Prompts for Object Detection in Adverse Environments.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

WaterFlow: Heuristic Normalizing Flow for Underwater Image Enhancement and Beyond.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bilevel Generative Learning for Low-Light Vision.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Fearless Luminance Adaptation: A Macro-Micro-Hierarchical Transformer for Exposure Correction.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Multi-Spectral Image Stitching via Spatial Graph Reasoning.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Bi-level Dynamic Learning for Jointly Multi-modality Image Fusion and Beyond.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Averaged Method of Multipliers for Bi-Level Optimization without Lower-Level Strong Convexity.
Proceedings of the International Conference on Machine Learning, 2023

Motion-Scenario Decoupling for Rat-Aware Video Position Prediction: Strategy and Benchmark.
Proceedings of the Image and Graphics - 12th International Conference, 2023

Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
Global structure-guided learning framework for underwater image enhancement.
Vis. Comput., 2022

Learning Deep Context-Sensitive Decomposition for Low-Light Image Enhancement.
IEEE Trans. Neural Networks Learn. Syst., 2022

Underexposed Image Correction via Hybrid Priors Navigated Deep Propagation.
IEEE Trans. Neural Networks Learn. Syst., 2022

Triple-Level Model Inferred Collaborative Network Architecture for Video Deraining.
IEEE Trans. Image Process., 2022

Task-Oriented Convex Bilevel Optimization With Latent Feasibility.
IEEE Trans. Image Process., 2022

Twin Adversarial Contrastive Learning for Underwater Image Enhancement and Beyond.
IEEE Trans. Image Process., 2022

Attention-Guided Global-Local Adversarial Learning for Detail-Preserving Multi-Exposure Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learning a Deep Multi-Scale Feature Ensemble and an Edge-Attention Guidance for Image Fusion.
IEEE Trans. Circuits Syst. Video Technol., 2022

Target Oriented Perceptual Adversarial Fusion Network for Underwater Image Enhancement.
IEEE Trans. Circuits Syst. Video Technol., 2022

Learn to Search a Lightweight Architecture for Target-Aware Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2022

Hierarchical domain adaptation with local feature patterns.
Pattern Recognit., 2022

Learning Deformable Image Registration From Optimization: Perspective, Modules, Bilevel Training and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Investigating Bi-Level Optimization for Learning and Vision From a Unified Perspective: A Survey and Beyond.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Practical Exposure Correction: Great Truths Are Always Simple.
CoRR, 2022

CoCoNet: Coupled Contrastive Learning Network with Multi-level Feature Ensemble for Multi-modality Image Fusion.
CoRR, 2022

Revisiting GANs by Best-Response Constraint: Perspective, Methodology, and Application.
CoRR, 2022

Towards Extremely Fast Bilevel Optimization with Self-governed Convergence Guarantees.
CoRR, 2022

Automated Learning for Deformable Medical Image Registration by Jointly Optimizing Network Architectures and Objective Functions.
CoRR, 2022

Video Deraining via Temporal Discrepancy Learning.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Best of Both Worlds: See and Understand Clearly in the Dark.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Towards All Weather and Unobstructed Multi-Spectral Image Stitching: Algorithm and Benchmark.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

PIA: Parallel Architecture with Illumination Allocator for Joint Enhancement and Detection in Low-Light.
Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

Coupling Deep Deformable Registration with Contextual Refinement for Semi-Supervised Medical Image Segmentation.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Hierarchical Bilevel Learning with Architecture and Loss Search for Hadamard-based Image Restoration.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Unsupervised Misaligned Infrared and Visible Image Fusion via Cross-Modality Image Generation and Registration.
Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Semantic-aware Texture-Structure Feature Collaboration for Underwater Image Enhancement.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training.
Proceedings of the International Conference on Machine Learning, 2022

ReCoNet: Recurrent Correction Network for Fast and Efficient Multi-modality Image Fusion.
Proceedings of the Computer Vision - ECCV 2022, 2022

Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Toward Fast, Flexible, and Robust Low-Light Image Enhancement.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021
Location-Aware and Regularization-Adaptive Correlation Filters for Robust Visual Tracking.
IEEE Trans. Neural Networks Learn. Syst., 2021

Dual Neural Networks Coupling Data Regression With Explicit Priors for Monocular 3D Face Reconstruction.
IEEE Trans. Multim., 2021

Investigating Customization Strategies and Convergence Behaviors of Task-Specific ADMM.
IEEE Trans. Image Process., 2021

A Bilevel Integrated Model With Data-Driven Layer Ensemble for Multi-Modality Image Fusion.
IEEE Trans. Image Process., 2021

Learning Hadamard-Product-Propagation for Image Dehazing and Beyond.
IEEE Trans. Circuits Syst. Video Technol., 2021

Joint Luminance and Chrominance Learning for Underwater Image Enhancement.
IEEE Signal Process. Lett., 2021

SMoA: Searching a Modality-Oriented Architecture for Infrared and Visible Image Fusion.
IEEE Signal Process. Lett., 2021

Learning to Discover a Unified Architecture for Low-Level Vision.
IEEE Signal Process. Lett., 2021

A convergent framework with learnable feasibility for Hadamard-based image recovery.
Comput. Vis. Image Underst., 2021

A Generic Descent Aggregation Framework for Gradient-based Bi-level Optimization.
CoRR, 2021

Deep Multi-Illumination Fusion for Low-Light Image Enhancement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Semantic-Driven Context Aggregation Network for Underwater Image Enhancement.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Latency-Constrained Spatial-Temporal Aggregated Architecture Search for Video Deraining.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Searching a Hierarchically Aggregated Fusion Architecture for Fast Multi-Modality Image Fusion.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Bridging the Gap between Low-Light Scenes: Bilevel Learning for Fast Adaptation.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

Underwater Species Detection using Channel Sharpening Attention.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization.
Proceedings of the 38th International Conference on Machine Learning, 2021

Collaborative Reflectance-And-Illumination Learning For High-Efficient Low-Light Image Enhancement.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Star-Net: Spatial-Temporal Attention Residual Network for Video Deraining.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Hardware-Aware Low-Light Image Enhancement via One-Shot Neural Architecture Search with Shrinkage Sampling.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Searching Frame-Recurrent Attentive Deformable Network for Real-Time Video Deraining.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Halder: Hierarchical Attention-Guided Learning with Detail-Refinement for Multi-Exposure Image Fusion.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning.
Proceedings of the 2021 IEEE International Conference on Multimedia & Expo Workshops, 2021

Spatial-Temporal Integration Network with Self-Guidance for Robust Video Deraining.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Multiple Task-Oriented Encoders for Unified Image Fusion.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Video Deraining Via Temporal Aggregation-and-Guidance.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

GTA-Net: Gradual Temporal Aggregation Network for Fast Video Deraining.
Proceedings of the IEEE International Conference on Acoustics, 2021

Temporal Rain Decomposition with Spatial Structure Guidance for Video Deraining.
Proceedings of the IEEE International Conference on Acoustics, 2021

NASA: A Noise-Adaptive and Structure-Aware Learning Framework for Image Deblurring.
Proceedings of the IEEE International Conference on Acoustics, 2021

Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Learning Multi-scale Underexposure Image Correction.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Brightening the Low-Light Images via a Dual Guided Network.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Optimizing Loss Function for Uni-modal and Multi-modal Medical Registration.
Proceedings of the Artificial Intelligence - First CAAI International Conference, 2021

Physics-inspired Learning for Structure-Aware Texture-Sensitive Underwater Image Enhancement.
Proceedings of the Asian Conference on Machine Learning, 2021

2020
Knowledge-Driven Deep Unrolling for Robust Image Layer Separation.
IEEE Trans. Neural Networks Learn. Syst., 2020

A Deep Framework Assembling Principled Modules for CS-MRI: Unrolling Perspective, Convergence Behaviors, and Practical Modeling.
IEEE Trans. Medical Imaging, 2020

Investigating Task-Driven Latent Feasibility for Nonconvex Image Modeling.
IEEE Trans. Image Process., 2020

Real-World Underwater Enhancement: Challenges, Benchmarks, and Solutions Under Natural Light.
IEEE Trans. Circuits Syst. Video Technol., 2020

Joint Over and Under Exposures Correction by Aggregated Retinex Propagation for Image Enhancement.
IEEE Signal Process. Lett., 2020

On the Convergence of Learning-Based Iterative Methods for Nonconvex Inverse Problems.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Blind image deblurring via hybrid deep priors modeling.
Neurocomputing, 2020

Learning Optimization-inspired Image Propagation with Control Mechanisms and Architecture Augmentations for Low-level Vision.
CoRR, 2020

A Multi-scale Optimization Learning Framework for Diffeomorphic Deformable Registration.
CoRR, 2020

Learning Multi-scale Retinex with Residual Network for Low-Light Image Enhancement.
Proceedings of the Pattern Recognition and Computer Vision, Third Chinese Conference, 2020

Coupling Principled Refinement with Bi-Directional Deep Estimation for Robust Deformable 3D Medical Image Registration.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

Bi-level Probabilistic Feature Learning for Deformable Image Registration.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

Optimization Learning: Perspective, Method, and Applications.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Real Time Multi-thread Underwater Images Enhancement System<sup>*</sup>.
Proceedings of the International Conference on System Science and Engineering, 2020

A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton.
Proceedings of the 37th International Conference on Machine Learning, 2020

Flexible Bilevel Image Layer Modeling For Robust Deraining.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Multi-Scale Features Joint Rain Removal For Single Image.
Proceedings of the IEEE International Conference on Image Processing, 2020

Principle-Inspired Multi-Scale Aggregation Network for Extremely Low-Light Image Enhancement.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Sequential Deep Unrolling With Flow Priors For Robust Video Deraining.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Image Restoration Via Data-Dependent Proximal Averaged Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Wasserstein Loss based Deep Object Detection.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Learning Aggregated Transmission Propagation Networks for Haze Removal and Beyond.
IEEE Trans. Neural Networks Learn. Syst., 2019

Learning Converged Propagations With Deep Prior Ensemble for Image Enhancement.
IEEE Trans. Image Process., 2019

Deep Proximal Unrolling: Algorithmic Framework, Convergence Analysis and Applications.
IEEE Trans. Image Process., 2019

Toward Efficient Image Representation: Sparse Concept Discriminant Matrix Factorization.
IEEE Trans. Circuits Syst. Video Technol., 2019

Learning Bilevel Layer Priors for Single Image Rain Streaks Removal.
IEEE Signal Process. Lett., 2019

Robust heterogeneous discriminative analysis for face recognition with single sample per person.
Pattern Recognit., 2019

深度卷积先验引导的鲁棒图像层分离方法及其应用 (Deep Convolutional Prior Guided Robust Image Separation Method and Its Applications).
计算机科学, 2019

Blind Image Deblurring via Adaptive Optimization with Flexible Sparse Structure Control.
J. Comput. Sci. Technol., 2019

Converged Deep Framework Assembling Principled Modules for CS-MRI.
CoRR, 2019

On the Convergence of ADMM with Task Adaption and Beyond.
CoRR, 2019

Bilevel Integrative Optimization for Ill-posed Inverse Problems.
CoRR, 2019

Real-world Underwater Enhancement: Challenging, Benchmark and Efficient Solutions.
CoRR, 2019

Learning diffusion on global graph: A PDE-directed approach for feature detection on geometric shapes.
Comput. Aided Geom. Des., 2019

Enhanced Residual Dense Intrinsic Network for Intrinsic Image Decomposition.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Compounded Layer-Prior Unrolling: A Unified Transmission-Based Image Enhancement Framework.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Semi-Supervised Skin Detection by Network With Mutual Guidance.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Exploiting Local Feature Patterns for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

Task Embedded Coordinate Update: A Realizable Framework for Multivariate Non-Convex Optimization.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

A Theoretically Guaranteed Deep Optimization Framework for Robust Compressive Sensing MRI.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Explicit Shape Regression With Characteristic Number for Facial Landmark Localization.
IEEE Trans. Multim., 2018

Online Low-Rank Representation Learning for Joint Multi-Subspace Recovery and Clustering.
IEEE Trans. Image Process., 2018

Designing a stable feedback control system for blind image deconvolution.
Neural Networks, 2018

Discriminative anisotropic propagation with heat source estimation for robust object tracking.
Neural Comput. Appl., 2018

A Bridging Framework for Model Optimization and Deep Propagation.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Learning Collaborative Generation Correction Modules for Blind Image Deblurring and Beyond.
Proceedings of the 2018 ACM Multimedia Conference on Multimedia Conference, 2018

Fast Factorization-free Kernel Learning for Unlabeled Chunk Data Streams.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Toward Designing Convergent Deep Operator Splitting Methods for Task-specific Nonconvex Optimization.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Single Image Layer Separation via Deep Admm Unrolling.
Proceedings of the 2018 IEEE International Conference on Multimedia and Expo, 2018

Joint Residual Learning for Underwater Image Enhancement.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Prior-guided deep residual propagation for non-blind image deconvolution.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Plug-and-play correlation filters for visual tracking.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

Robust Haze Removal Via Joint Deep Transmission and Scene Propagation.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Layer Prior Optimization for Single Image Rain Streaks Removal.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Unrolled Optimization with Deep Priors for Intrinsic Image Decomposition.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Adaptive Optimization with Nested Prior Navigation for Blind Image Deblurring.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Single Image Dehazing via Adaptive Transmission Optimization with Deep Prior.
Proceedings of the Fourth IEEE International Conference on Multimedia Big Data, 2018

Unsupervised Representation Learning With Long-Term Dynamics for Skeleton Based Action Recognition.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Proximal Alternating Direction Network: A Globally Converged Deep Unrolling Framework.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

Self-Reinforced Cascaded Regression for Face Alignment.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
A nonlocal L<sub>0</sub> model with regression predictor for saliency detection and extension.
Vis. Comput., 2017

Adaptive low-rank subspace learning with online optimization for robust visual tracking.
Neural Networks, 2017

An Inexact Proximal Alternating Direction Method for Non-convex and Non-smooth Matrix Factorization and Beyond.
CoRR, 2017

Deep Location-Specific Tracking.
Proceedings of the 2017 ACM on Multimedia Conference, 2017

Learning an Alternating Bergman Network for Non-convex and Non-smooth Optimization Problems.
Proceedings of the Intelligence Science and Big Data Engineering, 2017

Deep hybrid residual learning with statistic priors for single image super-resolution.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Blind image deblurring via adaptive dynamical system learning.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Leveraging geometric correlation for input-adaptive facial landmark regression.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Learning Multi-Scale Shrinkage Fields for Blind Image Deblurring.
Proceedings of the Internet Multimedia Computing and Service, 2017

Blind Image Deblurring Using Adaptive Priors.
Proceedings of the Internet Multimedia Computing and Service, 2017

The Visual Object Tracking VOT2017 Challenge Results.
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Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

Robust Heterogeneous Discriminative Analysis for Single Sample Per Person Face Recognition.
Proceedings of the 2017 ACM on Conference on Information and Knowledge Management, 2017

2016
A generalized nonlocal mean framework with object-level cues for saliency detection.
Vis. Comput., 2016

Learning to Diffuse: A New Perspective to Design PDEs for Visual Analysis.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Subspace segmentation by dense block and sparse representation.
Neural Networks, 2016

Sparse Coding and Counting for Robust Visual Tracking.
CoRR, 2016

Region-based CNN for Logo Detection.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2016

Sparse Gradient Pursuit for Robust Visual Analysis.
Proceedings of the Computer Vision - ACCV 2016, 2016

Linearized Alternating Direction Method with Penalization for Nonconvex and Nonsmooth Optimization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine learning.
Mach. Learn., 2015

Diffuse visual attention for saliency detection.
J. Electronic Imaging, 2015

Robust visual tracking via L0 regularized local low-rank feature learning.
J. Electronic Imaging, 2015

Low-rank 3D mesh segmentation and labeling with structure guiding.
Comput. Graph., 2015

Properly constrained orthonormal functional maps for intrinsic symmetries.
Comput. Graph., 2015

Characteristic number regression for facial feature extraction.
Proceedings of the 2015 IEEE International Conference on Multimedia and Expo, 2015

Robust visual tracking via discriminative sequential ranking.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Visual tracking via orthogonal sparse coding.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Sparse concept discriminant matrix factorization for image representation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Correlated warped Gaussian processes for gender-specific age estimation.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Matrix Factorization with Column L0-Norm Constraint for Robust Multi-subspace Analysis.
Proceedings of the IEEE International Conference on Data Mining Workshop, 2015

2014
Structure-Constrained Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2014

Learning Markov random walks for robust subspace clustering and estimation.
Neural Networks, 2014

Robust visual tracking via incremental low-rank features learning.
Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ<sub>1</sub> filtering.
Neurocomputing, 2014

Latent Subspace Projection Pursuit with Online Optimization for Robust Visual Tracking.
IEEE Multim., 2014

Motion blur kernel estimation via salient edges and low rank prior.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Robust visual tracking using latent subspace projection pursuit.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Incremental robust local dictionary learning for visual tracking.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2014

Adaptive Partial Differential Equation Learning for Visual Saliency Detection.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Saliency Detection via Nonlocal L_0 Minimization.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Low-Rank Structure Learning via Nonconvex Heuristic Recovery.
IEEE Trans. Neural Networks Learn. Syst., 2013

Kernel estimation from salient structure for robust motion deblurring.
Signal Process. Image Commun., 2013

Toward designing intelligent PDEs for computer vision: An optimal control approach.
Image Vis. Comput., 2013

Saliency detection based on an edge-preserving filter.
Proceedings of the IEEE International Conference on Image Processing, 2013

Mixture of related regressions for head pose estimation.
Proceedings of the IEEE International Conference on Image Processing, 2013

Linearized Alternating Direction Method with Parallel Splitting and Adaptive Penalty for Separable Convex Programs in Machine Learning.
Proceedings of the Asian Conference on Machine Learning, 2013

2012
Fixed-rank representation for unsupervised visual learning.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Solving Principal Component Pursuit in Linear Time via $l_1$ Filtering
CoRR, 2011

Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011

Robust head pose estimation via Convex Regularized Sparse Regression.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Feature extraction by learning Lorentzian metric tensor and its extensions.
Pattern Recognit., 2010

Learning PDEs for Image Restoration via Optimal Control.
Proceedings of the Computer Vision, 2010

2009
Lorentzian Discriminant Projection and Its Applications.
Proceedings of the Computer Vision, 2009


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