Dongdong Yu

Orcid: 0009-0009-6397-8587

According to our database1, Dongdong Yu authored at least 54 papers between 2012 and 2024.

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

Timeline

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On csauthors.net:

Bibliography

2024
Development a nomogram prognostic model for survival in heart failure patients based on the HF-ACTION data.
BMC Medical Informatics Decis. Mak., December, 2024

TrackGo: A Flexible and Efficient Method for Controllable Video Generation.
CoRR, 2024

Distributed simultaneous state-input estimation over sensor networks under quantized communication.
Autom., 2024

VertFound: Synergizing Semantic and Spatial Understanding for Fine-Grained Vertebrae Classification via Foundation Models.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2024, 2024

Any-shape AMR trajectory planning based on improved ESDF.
Proceedings of the 2024 4th International Conference on Control and Intelligent Robotics, 2024

Global-To-Pixel Regression for Human Mesh Recovery.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Distributed Moving-Horizon Estimation With Event-Triggered Communication Over Sensor Networks.
IEEE Trans. Autom. Control., December, 2023

DMRNet++: Learning Discriminative Features With Decoupled Networks and Enriched Pairs for One-Step Person Search.
IEEE Trans. Pattern Anal. Mach. Intell., June, 2023

MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

Trimap-guided feature mining and fusion network for natural image matting.
Comput. Vis. Image Underst., April, 2023

Transformer-based Open-world Instance Segmentation with Cross-task Consistency Regularization.
Proceedings of the 31st ACM International Conference on Multimedia, 2023

Box-Level Active Detection.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022
Conditional Hyper-Network for Blind Super-Resolution With Multiple Degradations.
IEEE Trans. Image Process., 2022

AdaptivePose++: A Powerful Single-Stage Network for Multi-Person Pose Regression.
CoRR, 2022

Single-Stage Open-world Instance Segmentation with Cross-task Consistency Regularization.
CoRR, 2022

On distributed fusion estimation with stochastic scheduling over sensor networks.
Autom., 2022

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ByteTrack: Multi-object Tracking by Associating Every Detection Box.
Proceedings of the Computer Vision - ECCV 2022, 2022

You Should Look at All Objects.
Proceedings of the Computer Vision - ECCV 2022, 2022

Learning Quality-Aware Representation for Multi-Person Pose Regression.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

AdaptivePose: Human Parts as Adaptive Points.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
Distributed Covariance Intersection Fusion Estimation With Delayed Measurements and Unknown Inputs.
IEEE Trans. Syst. Man Cybern. Syst., 2021

ByteTrack: Multi-Object Tracking by Associating Every Detection Box.
CoRR, 2021

Memory Based Video Scene Parsing.
CoRR, 2021

Conditional Meta-Network for Blind Super-Resolution with Multiple Degradations.
CoRR, 2021

Mining Contextual Information Beyond Image for Semantic Segmentation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Weakly Supervised Person Search with Region Siamese Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Body Meshes as Points.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

F2Net: Learning to Focus on the Foreground for Unsupervised Video Object Segmentation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Distributed consensus-based estimation with unknown inputs and random link failures.
Autom., 2020

Event-triggered distributed state estimation over wireless sensor networks.
Autom., 2020

SPCNet: Spatial Preserve and Content-Aware Network for Human Pose Estimation.
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020

2019
Remote Nonlinear State Estimation With Stochastic Event-Triggered Sensor Schedule.
IEEE Trans. Cybern., 2019

Towards Good Practices for Instance Segmentation.
CoRR, 2019

Towards Good Practices for Multi-Person Pose Estimation.
CoRR, 2019

A Context-and-Spatial Aware Network for Multi-Person Pose Estimation.
CoRR, 2019

Towards Good Practices for Video Object Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Temporal Feature Augmented Network for Video Instance Segmentation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Multi-Person Pose Estimation With Enhanced Channel-Wise and Spatial Information.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018
Data-Driven Filtering for Nonlinear Systems With Bounded Noises and Quantized Measurements.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

Mask Propagation Network for Video Object Segmentation.
CoRR, 2018

Multi-person Pose Estimation for Pose Tracking with Enhanced Cascaded Pyramid Network.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

2017
Adaptive total-variation for non-negative matrix factorization on manifold.
Pattern Recognit. Lett., 2017

Multi-crop Convolutional Neural Networks for lung nodule malignancy suspiciousness classification.
Pattern Recognit., 2017

Stochastic stability of a modified unscented Kalman filter with stochastic nonlinearities and multiple fading measurements.
J. Frankl. Inst., 2017

Developing a radiomics framework for classifying non-small cell lung carcinoma subtypes.
Proceedings of the Medical Imaging 2017: Computer-Aided Diagnosis, 2017

Convolutional neural networks for predicting molecular profiles of non-small cell lung cancer.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2016
Fast Rotation-Free Feature-Based Image Registration Using Improved N-SIFT and GMM-Based Parallel Optimization.
IEEE Trans. Biomed. Eng., 2016

2015
A Data-Driven Iterative Decoupling Feedforward Control Strategy With Application to an Ultraprecision Motion Stage.
IEEE Trans. Ind. Electron., 2015

Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization.
Comput. Math. Methods Medicine, 2015

A new region descriptor for multi-modal medical image registration and region detection.
Proceedings of the 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2015

2014
A time-varying Q-filter design for iterative learning control with application to an ultra-precision dual-stage actuated wafer stage.
J. Syst. Control. Eng., 2014

Optimal feedforward control with a parametric structure applied to a wafer stage.
J. Syst. Control. Eng., 2014

2012
Nonlinear iterative learning control applied to an aerostatic <i>X</i>-<i>Y</i> planar motion stage.
J. Syst. Control. Eng., 2012


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