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On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited

International journal of computer vision, 2022-05, Vol.130 (5), p.1340-1365

2022

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Image Matching from Handcrafted to Deep Features: A Survey

International journal of computer vision, 2021-01, Vol.129 (1), p.23-79

2021

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Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder

IEEE transaction on neural networks and learning systems, 2021-03, Vol.32 (3), p.1177-1191

2021

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Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching

IEEE transactions on pattern analysis and machine intelligence, 2022-09, Vol.44 (9), p.5261-5279

2022

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SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

IEEE transactions on pattern analysis and machine intelligence, 2023-02, Vol.45 (2), p.2384-2399

2023

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Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach

IEEE transactions on pattern analysis and machine intelligence, 2023-06, Vol.45 (6), p.6984-7000

2023

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BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding

IEEE transactions on knowledge and data engineering, 2022-08, Vol.34 (8), p.1-1

2022

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Learning Time Series Associated Event Sequences With Recurrent Point Process Networks

IEEE transaction on neural networks and learning systems, 2019-10, Vol.30 (10), p.3124-3136

2019

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Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph

IEEE transactions on pattern analysis and machine intelligence, 2021-10, Vol.43 (10), p.3648-3663

2021

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Learning Deep Generative Clustering via Mutual Information Maximization

IEEE transaction on neural networks and learning systems, 2023-09, Vol.34 (9), p.6263-6275

2023

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Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization

IEEE transactions on pattern analysis and machine intelligence, 2023-08, Vol.45 (8), p.10500-10518

2023

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HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction Via Scene Encoding

IEEE transactions on pattern analysis and machine intelligence, 2023-11, Vol.PP (11), p.1-15

2023

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Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination

IEEE transaction on neural networks and learning systems, 2023-08, Vol.34 (8), p.5144-5155

2023

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Adaptive Discrete Hypergraph Matching

IEEE transactions on cybernetics, 2018-02, Vol.48 (2), p.765-779

2018

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Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE transactions on knowledge and data engineering, 2022-11, Vol.34 (11), p.5446-5458

2022

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Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization

IEEE transactions on pattern analysis and machine intelligence, 2023-04, Vol.45 (4), p.4335-4354

2023

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Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model

IEEE transactions on knowledge and data engineering, 2022-02, Vol.34 (2), p.573-586

2022

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Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

BMC genomics, 2018-07, Vol.19 (1), p.511-511, Article 511

2018

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Learning Regularized Noise Contrastive Estimation for Robust Network Embedding

IEEE transactions on knowledge and data engineering, 2023-05, Vol.35 (5), p.5017-5034

2023

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RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection

IEEE transactions on circuits and systems for video technology, 2022-11, Vol.32 (11), p.7869-7879

2022

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ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation

IEEE transaction on neural networks and learning systems, 2024-04, Vol.35 (4), p.4478-4490

2024

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Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

IEEE transactions on knowledge and data engineering, 2023-06, Vol.35 (6), p.6058-6072

2023

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Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

IEEE transactions on pattern analysis and machine intelligence, 2016-06, Vol.38 (6), p.1228-1242

2016

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ARS-DETR: Aspect Ratio Sensitive Detection Transformer for Aerial Oriented Object Detection

IEEE transactions on geoscience and remote sensing, 2024-01, Vol.62, p.1-1

2024

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Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution

IEEE transaction on neural networks and learning systems, 2023-11, Vol.34 (11), p.8566-8578

2023

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On the Arbitrary-Oriented Object Detection: Classification Based Approaches Revisited

Image Matching from Handcrafted to Deep Features: A Survey

Anomaly Detection of Time Series With Smoothness-Inducing Sequential Variational Auto-Encoder

Neural Graph Matching Network: Learning Lawler's Quadratic Assignment Problem With Extension to Hypergraph and Multiple-Graph Matching

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

Combinatorial Learning of Robust Deep Graph Matching: An Embedding Based Approach

BTWalk: Branching Tree Random Walk for Multi-order Structured Network Embedding

Learning Time Series Associated Event Sequences With Recurrent Point Process Networks

Unifying Offline and Online Multi-Graph Matching via Finding Shortest Paths on Supergraph

Learning Deep Generative Clustering via Mutual Information Maximization

Unsupervised Learning of Graph Matching With Mixture of Modes via Discrepancy Minimization

HDGT: Heterogeneous Driving Graph Transformer for Multi-Agent Trajectory Prediction Via Scene Encoding

Learning High-Order Graph Convolutional Networks via Adaptive Layerwise Aggregation Combination

Adaptive Discrete Hypergraph Matching

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

Detecting Rotated Objects as Gaussian Distributions and its 3-D Generalization

Discovering Temporal Patterns for Event Sequence Clustering via Policy Mixture Model

Prediction of RNA-protein sequence and structure binding preferences using deep convolutional and recurrent neural networks

Learning Regularized Noise Contrastive Estimation for Robust Network Embedding

RSDet++: Point-Based Modulated Loss for More Accurate Rotated Object Detection

ScaleGCN: Efficient and Effective Graph Convolution via Channel-Wise Scale Transformation

Learning Robust Deep State Space for Unsupervised Anomaly Detection in Contaminated Time-Series

Multi-Graph Matching via Affinity Optimization with Graduated Consistency Regularization

ARS-DETR: Aspect Ratio Sensitive Detection Transformer for Aerial Oriented Object Detection

Robust Mesh Representation Learning via Efficient Local Structure-Aware Anisotropic Convolution

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