Andy Jinhua Ma

Orcid: 0000-0002-0165-8416

Affiliations:
  • School of Computer Science and Engineering, Sun Yat-sen University, China
  • Hong Kong Baptist University, Department of Computer Science, China (former)


According to our database1, Andy Jinhua Ma authored at least 70 papers between 2009 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Coarse-to-Fine Latent Diffusion for Pose-Guided Person Image Synthesis.
CoRR, 2024

MLNet: Mutual Learning Network with Neighborhood Invariance for Universal Domain Adaptation.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
DilateFormer: Multi-Scale Dilated Transformer for Visual Recognition.
IEEE Trans. Multim., 2023

DiffusionEngine: Diffusion Model is Scalable Data Engine for Object Detection.
CoRR, 2023

Patch Shuffle and Pixel Contrast: Dual Consistency Learning for Semi-supervised Lung Tumor Segmentation.
Proceedings of the Pattern Recognition and Computer Vision - 6th Chinese Conference, 2023

Collaborative Learning of Diverse Experts for Source-free Universal Domain Adaptation.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Discriminative Gradient Adjustment with Coupled Knowledge Distillation for Class Incremental Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

E<sup>2</sup>: Entropy Discrimination and Energy Optimization for Source-free Universal Domain Adaptation.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Dual Episodic Sampling and Momentum Consistency Regularization for Unsupervised Few-shot Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Gradient Adjusted and Weight Rectified Mean Teacher for Source-Free Object Detection.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2023, 2023

2022
Multi-Level Temporal Dilated Dense Prediction for Action Recognition.
IEEE Trans. Multim., 2022

Learning From Synthetic CT Images via Test-Time Training for Liver Tumor Segmentation.
IEEE Trans. Medical Imaging, 2022

Weakly Supervised Liver Tumor Segmentation Using Couinaud Segment Annotation.
IEEE Trans. Medical Imaging, 2022

Revealing Task-Relevant Model Memorization for Source-Protected Unsupervised Domain Adaptation.
IEEE Trans. Inf. Forensics Secur., 2022

Hierarchical feature disentangling network for universal domain adaptation.
Pattern Recognit., 2022

Multi-level Attentive Adversarial Learning with Temporal Dilation for Unsupervised Video Domain Adaptation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Improving Pre-trained Masked Autoencoder via Locality Enhancement for Person Re-identification.
Proceedings of the Pattern Recognition and Computer Vision - 5th Chinese Conference, 2022

Source-free Temporal Attentive Domain Adaptation for Video Action Recognition.
Proceedings of the ICMR '22: International Conference on Multimedia Retrieval, Newark, NJ, USA, June 27, 2022

Weakly-Supervised Lesion Segmentation with Self-Guidance by CT Intensity Clustering.
Proceedings of the 19th IEEE International Symposium on Biomedical Imaging, 2022

Learning to Mitigate Extreme Distribution Bias for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Region-Interactive Proposal Network and Class-Interactive Feature Learning for Few-Shot Object Detection.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Adversarial Feature Augmentation for Cross-domain Few-Shot Classification.
Proceedings of the Computer Vision - ECCV 2022, 2022

Anatomical prior-inspired label refinement for weakly supervised liver tumor segmentation with volume-level labels.
Proceedings of the 33rd British Machine Vision Conference 2022, 2022

Suppressing Static Visual Cues via Normalizing Flows for Self-Supervised Video Representation Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Explainable Uncertainty-Aware Convolutional Recurrent Neural Network for Irregular Medical Time Series.
IEEE Trans. Neural Networks Learn. Syst., 2021

Importance-aware personalized learning for early risk prediction using static and dynamic health data.
J. Am. Medical Informatics Assoc., 2021

AnchorConv: Anchor Convolution for Point Clouds Analysis.
Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

Learning Spatio-temporal Representation by Channel Aliasing Video Perception.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

A Segmentation-Assisted Model for Universal Lesion Detection with Partial Labels.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Incorporating Decision-level Reconstruction Quality in Adversarial Autoencoders for Anomaly Detection.
Proceedings of the International Joint Conference on Neural Networks, 2021

Improving Weakly Supervised Object Localization by Uncertainty Estimation of pseudo supervision.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Invariant subspace learning for time series data based on dynamic time warping distance.
Pattern Recognit., 2020

Adversarial open set domain adaptation via progressive selection of transferable target samples.
Neurocomputing, 2020

Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning.
CoRR, 2020

Self-supervised Temporal Discriminative Learning for Video Representation Learning.
CoRR, 2020

Self-supervised learning using consistency regularization of spatio-temporal data augmentation for action recognition.
CoRR, 2020

Temporal matrix completion with locally linear latent factors for medical applications.
Artif. Intell. Medicine, 2020

Multi-Scale Adversarial Cross-Domain Detection with Robust Discriminative Learning.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Multi-Scale Feature Pyramids for Weakly Supervised Thoracic Disease Localization.
Proceedings of the IEEE International Conference on Image Processing, 2020

Infrared-Visible Person Re-Identification Via Cross-Modality Batch Normalized Identity Embedding And Mutual Learning.
Proceedings of the IEEE International Conference on Image Processing, 2020

Receptive Field Pyramid Network for Object Detection.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

DATA-GRU: Dual-Attention Time-Aware Gated Recurrent Unit for Irregular Multivariate Time Series.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Dynamic Graph Co-Matching for Unsupervised Video-Based Person Re-Identification.
IEEE Trans. Image Process., 2019

Body Parts Synthesis for Cross-Quality Pose Estimation.
IEEE Trans. Circuits Syst. Video Technol., 2019

Variation Generalized Feature Learning via Intra-view Variation Adaptation.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Spatial-Temporal Bottom-Up Top-Down Attention Model for Action Recognition.
Proceedings of the Image and Graphics - 10th International Conference, 2019

UA-CRNN: Uncertainty-Aware Convolutional Recurrent Neural Network for Mortality Risk Prediction.
Proceedings of the 28th ACM International Conference on Information and Knowledge Management, 2019

2018
Learning domain-shared group-sparse representation for unsupervised domain adaptation.
Pattern Recognit., 2018

Semi-supervised Region Metric Learning for Person Re-identification.
Int. J. Comput. Vis., 2018

Robust Shapelets Learning: Transform-Invariant Prototypes.
Proceedings of the Pattern Recognition and Computer Vision - First Chinese Conference, 2018

A Hybrid Residual Network and Long Short-Term Memory Method for Peptic Ulcer Bleeding Mortality Prediction.
Proceedings of the AMIA 2018, 2018

Domain-Shared Group-Sparse Dictionary Learning for Unsupervised Domain Adaptation.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Dynamic Label Graph Matching for Unsupervised Video Re-identification.
Proceedings of the IEEE International Conference on Computer Vision, 2017

2016
Temporal Matrix Completion with Locally Linear Latent Factors for Medical Applications.
CoRR, 2016

Process Monitoring in the Intensive Care Unit: Assessing Patient Mobility Through Activity Analysis with a Non-Invasive Mobility Sensor.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

The Visual Object Tracking VOT2016 Challenge Results.
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Proceedings of the Computer Vision - ECCV 2016 Workshops, 2016

2015
Cross-Domain Person Reidentification Using Domain Adaptation Ranking SVMs.
IEEE Trans. Image Process., 2015

Joint Sparse Representation and Robust Feature-Level Fusion for Multi-Cue Visual Tracking.
IEEE Trans. Image Process., 2015

Deformable Distributed Multiple Detector Fusion for Multi-Person Tracking.
CoRR, 2015

2014
Reduced Analytic Dependency Modeling: Robust Fusion for Visual Recognition.
Int. J. Comput. Vis., 2014

Multi-cue Visual Tracking Using Robust Feature-Level Fusion Based on Joint Sparse Representation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Query Based Adaptive Re-ranking for Person Re-identification.
Proceedings of the Computer Vision - ACCV 2014, 2014

Semi-Supervised Ranking for Re-identification with Few Labeled Image Pairs.
Proceedings of the Computer Vision - ACCV 2014, 2014

2013
Supervised Spatio-Temporal Neighborhood Topology Learning for Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2013

Linear Dependency Modeling for Classifier Fusion and Feature Combination.
IEEE Trans. Pattern Anal. Mach. Intell., 2013

Domain Transfer Support Vector Ranking for Person Re-identification without Target Camera Label Information.
Proceedings of the IEEE International Conference on Computer Vision, 2013

2012
Reduced Analytical Dependency Modeling for Classifier Fusion.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Linear dependency modeling for feature fusion.
Proceedings of the IEEE International Conference on Computer Vision, 2011

2009
Supervised Neighborhood Topology Learning for Human Action Recognition.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009


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