Ziming Qiu

Orcid: 0000-0002-7287-5936

According to our database1, Ziming Qiu authored at least 14 papers between 2016 and 2024.

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

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
2D-SNet: A Lightweight Network for Person Re-Identification on the Small Data Regime.
IEEE Trans. Biom. Behav. Identity Sci., January, 2024

2023
μ-Net: ConvNext-Based U-Nets for Cosmic Muon Tomography.
CoRR, 2023

DiffuseExpand: Expanding dataset for 2D medical image segmentation using diffusion models.
CoRR, 2023

2022
Bell Labs robot garage for DANCE: Domain Adaptation of Networks for Camera Pose Estimation.
Dataset, January, 2022

What Role Does Data Augmentation Play in Knowledge Distillation?
Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Domain Adaptation of Networks for Camera Pose Estimation: Learning Camera Pose Estimation Without Pose Labels.
CoRR, 2021

2020
Deep Mouse: An End-to-End Auto-Context Refinement Framework for Brain Ventricle & Body Segmentation in Embryonic Mice Ultrasound Volumes.
Proceedings of the 17th IEEE International Symposium on Biomedical Imaging, 2020

2019
Deep Mouse: An End-to-end Auto-context Refinement Framework for Brain Ventricle and Body Segmentation in Embryonic Mice Ultrasound Volumes.
CoRR, 2019

Automatic Mouse Embryo Brain Ventricle & Body Segmentation and Mutant Classification From Ultrasound Data Using Deep Learning.
CoRR, 2019

2018
End-to-end subtitle detection and recognition for videos in East Asian languages via CNN ensemble.
Signal Process. Image Commun., 2018

Deep BV: A Fully Automated System for Brain Ventricle Localization and Segmentation in 3D Ultrasound Images of Embryonic Mice.
CoRR, 2018

Automatic body localization and brain ventricle segmentation in 3D high frequency ultrasound images of mouse embryos.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2016
End-to-End Subtitle Detection and Recognition for Videos in East Asian Languages via CNN Ensemble with Near-Human-Level Performance.
CoRR, 2016


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