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Learning Uncertain Convolutional Features for Accurate Saliency Detection

2017 IEEE International Conference on Computer Vision (ICCV), 2017, p.212-221

2017

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Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

IEEE transactions on intelligent transportation systems, 2021-02, Vol.22 (2), p.1138-1149

2021

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Learning to Detect Salient Objects with Image-Level Supervision

2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2017, p.3796-3805

2017

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Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

IEEE transactions on intelligent transportation systems, 2022-02, Vol.23 (2), p.1009-1018

2022

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Learning to Restore Low-Light Images via Decomposition-and-Enhancement

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020, p.2278-2287

2020

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Tracking the sliding of grain boundaries at the atomic scale

Science (American Association for the Advancement of Science), 2022-03, Vol.375 (6586), p.1261-1265

2022

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Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels

International journal of computer vision, 2022-03, Vol.130 (3), p.729-746

2022

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Improving object detection quality with structural constraints

PloS one, 2022-05, Vol.17 (5), p.e0267863-e0267863

2022

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Multi-Dimensional Sparse Models

IEEE transactions on pattern analysis and machine intelligence, 2018-01, Vol.40 (1), p.163-178

2018

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3D face recognition using local binary patterns

Signal processing, 2013-08, Vol.93 (8), p.2190-2198

2013

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Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network

IEEE transactions on intelligent transportation systems, 2019-09, Vol.20 (9), p.3283-3293

2019

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A plug-and-play image enhancement model for end-to-end object detection in low-light condition

Multimedia systems, 2024-02, Vol.30 (1), Article 27

2024

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Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

IEEE transactions on pattern analysis and machine intelligence, 2016-03, Vol.38 (3), p.476-489

2016

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Multi-view hypergraph neural networks for student academic performance prediction

Engineering applications of artificial intelligence, 2022-09, Vol.114, p.105174, Article 105174

2022

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Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA

IEEE transactions on image processing, 2015-12, Vol.24 (12), p.4834-4846

2015

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Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance

IEEE transactions on circuits and systems for video technology, 2017-03, Vol.27 (3), p.554-566

2017

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TRFH: towards real-time face detection and head pose estimation

Pattern analysis and applications : PAA, 2021-11, Vol.24 (4), p.1745-1755

2021

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Context‐aware relation enhancement and similarity reasoning for image‐text retrieval

IET computer vision, 2024-08, Vol.18 (5), p.652-665

2024

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AFA: adversarial frequency alignment for domain generalized lung nodule detection

Neural computing & applications, 2022-05, Vol.34 (10), p.8039-8050

2022

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Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection

Sensors (Basel, Switzerland), 2023-03, Vol.23 (7), p.3611

2023

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Hash-Based Block Matching for Screen Content Coding

IEEE transactions on multimedia, 2015-07, Vol.17 (7), p.935-944

2015

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Substructure-aware subgraph reasoning for inductive relation prediction

The Journal of supercomputing, 2023-12, Vol.79 (18), p.21008-21027

2023

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A multi‐scale feature representation and interaction network for underwater object detection

IET computer vision, 2023-04, Vol.17 (3), p.265-281

2023

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Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

IEEE transaction on neural networks and learning systems, 2018-10, Vol.29 (10), p.4579-4592

2018

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SACNet: Shuffling atrous convolutional U‐Net for medical image segmentation

IET image processing, 2023-03, Vol.17 (4), p.1236-1252

2023

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Learning Uncertain Convolutional Features for Accurate Saliency Detection

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction

Learning to Detect Salient Objects with Image-Level Supervision

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation

Learning to Restore Low-Light Images via Decomposition-and-Enhancement

Tracking the sliding of grain boundaries at the atomic scale

Learning to Detect Instance-Level Salient Objects Using Complementary Image Labels

Improving object detection quality with structural constraints

Multi-Dimensional Sparse Models

3D face recognition using local binary patterns

Learning to Predict Bus Arrival Time From Heterogeneous Measurements via Recurrent Neural Network

A plug-and-play image enhancement model for end-to-end object detection in low-light condition

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization

Multi-view hypergraph neural networks for student academic performance prediction

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance

TRFH: towards real-time face detection and head pose estimation

Context‐aware relation enhancement and similarity reasoning for image‐text retrieval

AFA: adversarial frequency alignment for domain generalized lung nodule detection

Absolute and Relative Depth-Induced Network for RGB-D Salient Object Detection

Hash-Based Block Matching for Screen Content Coding

Substructure-aware subgraph reasoning for inductive relation prediction

A multi‐scale feature representation and interaction network for underwater object detection

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference

SACNet: Shuffling atrous convolutional U‐Net for medical image segmentation

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