Dahong Qian

Orcid: 0000-0001-9715-6674

According to our database1, Dahong Qian authored at least 57 papers between 2007 and 2024.

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

Timeline

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Links

On csauthors.net:

Bibliography

2024
Deep multimodal representation learning for generalizable person re-identification.
Mach. Learn., April, 2024

Rethinking Person Re-Identification via Semantic-based Pretraining.
ACM Trans. Multim. Comput. Commun. Appl., March, 2024

Skeleton-Guided Instance Separation for Fine-Grained Segmentation in Microscopy.
CoRR, 2024

2023
Chromosome Detection in Metaphase Cell Images Using Morphological Priors.
IEEE J. Biomed. Health Informatics, September, 2023

Less Is More: Learning from Synthetic Data with Fine-Grained Attributes for Person Re-Identification.
ACM Trans. Multim. Comput. Commun. Appl., 2023

FusePose: IMU-Vision Sensor Fusion in Kinematic Space for Parametric Human Pose Estimation.
IEEE Trans. Multim., 2023

Supervised Contrastive Learning for Fine-grained Chromosome Recognition.
CoRR, 2023

Towards Open-set Gesture Recognition via Feature Activation Enhancement and Orthogonal Prototype Learning.
CoRR, 2023

Towards Discriminative Representation with Meta-learning for Colonoscopic Polyp Re-Identification.
CoRR, 2023

Learning Discriminative Visual-Text Representation for Polyp Re-Identification.
CoRR, 2023

Searching from Area to Point: A Hierarchical Framework for Semantic-Geometric Combined Feature Matching.
CoRR, 2023

Learning Robust Visual-Semantic Embedding for Generalizable Person Re-identification.
CoRR, 2023

ZodiacMSM: A Heterogeneous, Multi-node and Scalable Multi-Scalar Multiplication System for Zero Knowledge Proof Acceleration.
Proceedings of the 36th IEEE International System-on-Chip Conference, 2023

Colo-SCRL: Self-Supervised Contrastive Representation Learning for Colonoscopic Video Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

MTDL-NET: Morphological and Temporal Discriminative Learning for Heartbeat Classification.
Proceedings of the IEEE International Conference on Acoustics, 2023

2022
3D Graph-Connectivity Constrained Network for Hepatic Vessel Segmentation.
IEEE J. Biomed. Health Informatics, 2022

Learning-Based Distortion Correction and Feature Detection for High Precision and Robust Camera Calibration.
IEEE Robotics Autom. Lett., 2022

Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical Image Anal., 2022

Structure-Aware Multimodal Deep Learning for Drug-Protein Interaction Prediction.
J. Chem. Inf. Model., 2022

Deep Multimodal Fusion for Generalizable Person Re-identification.
CoRR, 2022

SubFace: Learning with Softmax Approximation for Face Recognition.
CoRR, 2022

A simple normalization technique using window statistics to improve the out-of-distribution generalization on medical images.
CoRR, 2022

Learning-Based Framework for Camera Calibration with Distortion Correction and High Precision Feature Detection.
CoRR, 2022

Deep reconstruction-recoding network for unsupervised domain adaptation and multi-center generalization in colonoscopy polyp detection.
Comput. Methods Programs Biomed., 2022

Rethinking Illumination for Person Re-Identification: A Unified View.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022

2021
Chromosome Classification and Straightening Based on an Interleaved and Multi-Task Network.
IEEE J. Biomed. Health Informatics, 2021

iCOVID: interpretable deep learning framework for early recovery-time prediction of COVID-19 patients.
npj Digit. Medicine, 2021

Self-Adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images.
CoRR, 2021

A real-time system using deep learning to detect and track ureteral orifices during urinary endoscopy.
Comput. Biol. Medicine, 2021

Real-time automatic polyp detection in colonoscopy using feature enhancement module and spatiotemporal similarity correlation unit.
Biomed. Signal Process. Control., 2021

SWnet: a deep learning model for drug response prediction from cancer genomic signatures and compound chemical structures.
BMC Bioinform., 2021

3DMeT: 3D Medical Image Transformer for Knee Cartilage Defect Assessment.
Proceedings of the Machine Learning in Medical Imaging - 12th International Workshop, 2021

Self-adaptive Transfer Learning for Multicenter Glaucoma Classification in Fundus Retina Images.
Proceedings of the Ophthalmic Medical Image Analysis - 8th International Workshop, 2021

Segmentation of Lung Adenocarcinoma Cells' Pathological Image Based on Deep Learning Method.
Proceedings of the ICIGP 2021: The 4th International Conference on Image and Graphics Processing, Sanya, China, 1, 2021

Enhanced Rotated Mask R-CNN for Chromosome Segmentation.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

C3D-UNET: A Comprehensive 3D Unet for Covid-19 Segmentation with Intact Encoding and Local Attention.
Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

2020
Prior-Attention Residual Learning for More Discriminative COVID-19 Screening in CT Images.
IEEE Trans. Medical Imaging, 2020

An End to End Network Architecture for Fundamental Matrix Estimation.
CoRR, 2020

Multi-Lead ECG Classification via an Information-Based Attention Convolutional Neural Network.
CoRR, 2020

Ischemic Stroke Segmentation from CT Perfusion Scans Using Cluster-Representation Learning.
Proceedings of the Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology, 2020

Adaptive Context Selection for Polyp Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Ovarian Cancer Prediction in Proteomic Data Using Stacked Asymmetric Convolution.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

Cross-View Label Transfer in Knee MR Segmentation Using Iterative Context Learning.
Proceedings of the Domain Adaptation and Representation Transfer, and Distributed and Collaborative Learning, 2020

Two-Stage Mapping-Segmentation Framework for Delineating COVID-19 Infections from Heterogeneous CT Images.
Proceedings of the Thoracic Image Analysis - Second International Workshop, 2020

An Enhanced Coarse-to-Fine Framework for the Segmentation of Clinical Target Volume.
Proceedings of the Segmentation, Classification, and Registration of Multi-modality Medical Imaging Data, 2020

AEC-Net: Attention and Edge Constraint Network for Medical Image Segmentation.
Proceedings of the 42nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2020

2019
A Novel Mass-Producible Capacitive Sensor with Fully Symmetric 3D Structure and Microfluidics for Cells Detection.
Sensors, 2019

Pulmonary Nodule Detection in Volumetric Chest CT Scans Using CNNs-Based Nodule-Size-Adaptive Detection and Classification.
IEEE Access, 2019

ISDNet: Importance Guided Semi-supervised Adversarial Learning for Medical Image Segmentation.
Proceedings of the Image and Graphics - 10th International Conference, 2019

Real-Time Detection of Ureteral Orifice in Urinary Endoscopy Videos Based on Deep Learning.
Proceedings of the 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2019

2018
Color Retinal Image Enhancement Based on Luminosity and Contrast Adjustment.
IEEE Trans. Biomed. Eng., 2018

Automatic Design and Fabrication of a Custom Ocular Prosthesis Using 3D Volume Difference Reconstruction (VDR).
IEEE Access, 2018

2017
Saliency-Based Bleeding Localization for Wireless Capsule Endoscopy Diagnosis.
Int. J. Biomed. Imaging, 2017

2016
Human Visual System-Based Fundus Image Quality Assessment of Portable Fundus Camera Photographs.
IEEE Trans. Medical Imaging, 2016

A CMOS Smart Temperature Sensor With Single-Point Calibration Method for Clinical Use.
IEEE Trans. Circuits Syst. II Express Briefs, 2016

2010
A Novel Adaptive Current Biased Linear Radio-Frequency Power amplifier on SiGe HBT Process.
J. Circuits Syst. Comput., 2010

2007
An Ant-based approach to Power-Efficient Algorithm for Wireless Sensor Networks.
Proceedings of the World Congress on Engineering, 2007


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