Elham Soltanikazemi

According to our database1, Elham Soltanikazemi authored at least 13 papers between 2022 and 2026.

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Bibliography

2026
Domain Generalization for Multiple Video Object Segmentation and Tracking Using Transformers and Smart Memory.
Int. J. Comput. Vis., May, 2026

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy.
IEEE Trans. Medical Imaging, April, 2026

2025
HQ-SMem: Video Segmentation and Tracking Using Memory Efficient Object Embedding With Selective Update and Self-Supervised Distillation Feedback.
CoRR, July, 2025


2024
The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

2023
Fine-Tuning YOLOv5 with Genetic Algorithm For Helmet Violation Detection.
CoRR, 2023

Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation.
Proceedings of the AI for Brain Lesion Detection and Trauma Video Action Recognition, 2023

Enhancing Lesion Segmentation in the BONBID-HIE Challenge: An Ensemble Strategy.
Proceedings of the AI for Brain Lesion Detection and Trauma Video Action Recognition, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.
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Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Real-Time Helmet Violation Detection in AI City Challenge 2023 with Genetic Algorithm-Enhanced YOLOv5.
Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022
Deep Learning Prediction of Severe Health Risks for Pediatric COVID-19 Patients with a Large Feature Set in 2021 BARDA Data Challenge.
CoRR, 2022

DRLComplex: Reconstruction of protein quaternary structures using deep reinforcement learning.
CoRR, 2022

A deep dilated convolutional residual network for predicting interchain contacts of protein homodimers.
Bioinform., 2022


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