Imad Eddine Toubal

According to our database, Imad Eddine Toubal authored at least 18 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Domain Generalization for Multiple Video Object Segmentation and Tracking Using Transformers and Smart Memory.

Elham Soltani Kazemi, Imad Eddine Toubal, Gani Rahmon, Juan David Mogollon, Kannappan Palaniappan

Int. J. Comput. Vis., May, 2026

BONBID-HIE 2023: Lesion Segmentation Challenge in BOston Neonatal Brain Injury Data for Hypoxic Ischemic Encephalopathy.

Rina Bao, Anna N. Foster, Ya'Nan Song, Rutvi Vyas, Ankush Kesri, Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan, Dean Ninalga, Chiranjeewee Prasad Koirala, Sovesh Mohapatra, Gottfried Schlaug, Marek Wodzinski, Henning Müller, David G. Ellis, Michele R. Aizenberg, M. Arda Aydin, Elvin Abdinli, Gozde Unal, Nazanin Tahmasebi, Kumaradevan Punithakumar, Tian Song, Yun Peng, Sara V. Bates, Randy Hirschtick, Patricia Ellen Grant, Yangming Ou

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.

Elham Soltani Kazemi, Imad Eddine Toubal, Gani Rahmon, Jaired Collins, Kannappan Palaniappan

CoRR, July, 2025

Evaluating the Reliability of ChatGPT for Health-Related Questions: A Systematic Review.

Mohammad Beheshti, Imad Eddine Toubal, Khuder Alaboud, Mohammed Almalaysha, Olabode B. Ogundele, Hamza Turabieh, Nader Abdalnabi, Suzanne A. Boren, Grant J. Scott, Butros M. Dahu

Informatics, 2025

The Third Visual Object Tracking Segmentation VOTS2025 Challenge Results.

Matei Kristan, Jirí Matas, Pavel Tokmakov, Alan Lukezic, Michael Felsberg, Luka Cehovin Zajc, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Michal Neoral, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Matteo Dunnhofer, Wei Feng, Zhenhua Feng, Jin Gao, Yameng Gu, Ruize Han, Jiawei He, Zhenyu He, Junhui Hou, Weiming Hu, Xiantao Hu, Xingsen Huang, Yuqing Huang, Gleb Kirichenko, Josef Kittler, Yutong Kou, Simiao Lai, Bing Li, Xin Li, Shubo Lin, Huchuan Lu, Deshui Miao, Christian Micheloni, Juan David Mogollon, Moritz Nottebaum, Kannappan Palaniappan, Ziqi Pang, Zekun Qian, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jovana Videnovic, Dong Wang, Yaowei Wang, Yu-Xiong Wang, Zhixiang Wang, Xiaojun Wu, Jinxia Xie, Tianyang Xu, Chaocan Xue, Yuanliang Xue, Ming-Hsuan Yang, Dmitriy Yurtov, Chunui Zhang, Xiangqun Zhang, Yunfei Zhang, Qingfang Zheng, Bineng Zhong, Fuan Zhong, Jinglin Zhou, Jingmeng Zhou, Junbao Zhou, Yong Zhou, Xuefeng Zhu

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

2024

DeepFTSG: Multi-stream Asymmetric USE-Net Trellis Encoders with Shared Decoder Feature Fusion Architecture for Video Motion Segmentation.

Gani Rahmon, Kannappan Palaniappan, Imad Eddine Toubal, Filiz Bunyak, Raghuveer Rao, Guna Seetharaman

Int. J. Comput. Vis., 2024

The Second Visual Object Tracking Segmentation VOTS2024 Challenge Results.

Matej Kristan, Jirí Matas, Pavel Tokmakov, Michael Felsberg, Luka Cehovin Zajc, Alan Lukezic, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Hyung Jin Chang, Gustavo Fernández, Minasadat Attari, Antoni B. Chan, Liang Chen, Xin Chen, Jaired Collins, Yutao Cui, Ganesh Sai Manas Devarapu, Yinglong Du, Heng Fan, Wan-Cyuan Fan, Zhenhua Feng, Mingqi Gao, Rama Krishna Sai S. Gorthi, Raghav Goyal, Jungong Han, Bijaya Kumar Hatuwal, Zhenyu He, Xiantao Hu, Xingsen Huang, Yuqing Huang, Dongmei Jiang, Ben Kang, Kannappan Palaniappan, Josef Kittler, Simiao Lai, Ning Li, Xiaohai Li, Xin Li, Cheng Liang, Liting Lin, Haibin Ling, Ting Liu, Ziquan Liu, Huchuan Lu, Yifei Luo, Deshui Miao, Juan David Mogollon, Ziqi Pang, Jaswanth Reddy Pochimireddy, Viktor Prutyanov, Gani Rahmon, Aleksandr Romanov, Liangtao Shi, Mennatullah Siam, Leonid Sigal, Arun Kumar Sivapuram, Roman A. Solovyev, Elham Soltani Kazemi, Imad Eddine Toubal, Jia Wan, Limin Wang, Xinying Wang, Yaowei Wang, Yu-Xiong Wang, Zhiquan Wang, Gangshan Wu, Qiangqiang Wu, Xiaojun Wu, Zihao Xia, Jinxia Xie, Chenlong Xu, Tianyang Xu, Yong Xu, Chaocan Xue, Chao Yang, Jinyu Yang, Ming-Hsuan Yang, Chenyang Yu, Ke Yu, Chunhui Zhang, Jiaming Zhang, Zhipeng Zhang, Feng Zheng, Yaozong Zheng, Bineng Zhong, Jinglin Zhou, Junbao Zhou, Yong Zhou, Zikun Zhou, Guibo Zhu, Jiawen Zhu, Xuefeng Zhu, Vladimir V. Zunin

Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use.

Imad Eddine Toubal, Aditya Avinash, Neil Gordon Alldrin, Jan Dlabal, Wenlei Zhou, Enming Luo, Otilia Stretcu, Hao Xiong, Chun-Ta Lu, Howard Zhou, Ranjay Krishna, Ariel Fuxman, Tom Duerig

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Fusion of Deep and Local Features Using Random Forests for Neonatal HIE Segmentation.

Imad Eddine Toubal, Elham Soltani Kazemi, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan

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.

Elham Soltani Kazemi, Imad Eddine Toubal, Gani Rahmon, Taci Kucukpinar, Mohamed Almansour, Mai-Lan Ho, Kannappan Palaniappan

Proceedings of the AI for Brain Lesion Detection and Trauma Video Action Recognition, 2023

The First Visual Object Tracking Segmentation VOTS2023 Challenge Results.

Matej Kristan, Jirí Matas, Martin Danelljan, Michael Felsberg, Hyung Jin Chang, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Zhongqun Zhang, Khanh-Tung Tran, Xuan-Son Vu, Johanna Björklund, Christoph Mayer, Yushan Zhang, Lei Ke, Jie Zhao, Gustavo Fernández, Noor Al-Shakarji, Dong An, Michael Arens, Stefan Becker, Goutam Bhat, Sebastian Bullinger, Antoni B. Chan, Shijie Chang, Hanyuan Chen, Xin Chen, Yan Chen, Zhenyu Chen, Yangming Cheng, Yutao Cui, Chunyuan Deng, Jiahua Dong, Matteo Dunnhofer, Wei Feng, Jianlong Fu, Jie Gao, Ruize Han, Zeqi Hao, Jun-Yan He, Keji He, Zhenyu He, Xiantao Hu, Kaer Huang, Yuqing Huang, Yi Jiang, Ben Kang, Jin-Peng Lan, Hyungjun Lee, Chenyang Li, Jiahao Li, Ning Li, Wangkai Li, Xiaodi Li, Xin Li, Pengyu Liu, Yue Liu, Huchuan Lu, Bin Luo, Ping Luo, Yinchao Ma, Deshui Miao, Christian Micheloni, Kannappan Palaniappan, Hancheol Park, Matthieu Paul, Houwen Peng, Zekun Qian, Gani Rahmon, Norbert Scherer-Negenborn, Pengcheng Shao, Wooksu Shin, Elham Soltani Kazemi, Tianhui Song, Rainer Stiefelhagen, Rui Sun, Chuanming Tang, Zhangyong Tang, Imad Eddine Toubal, Jack Valmadre, Joost van de Weijer, Luc Van Gool, Jash Vira, Stéphane Vujasinovic, Cheng Wan, Jia Wan, Dong Wang, Fei Wang, Feifan Wang, He Wang, Limin Wang, Song Wang, Yaowei Wang, Zhepeng Wang, Gangshan Wu, Jiannan Wu, Qiangqiang Wu, Xiaojun Wu, Anqi Xiao, Jinxia Xie, Chenlong Xu, Min Xu, Tianyang Xu, Yuanyou Xu, Bin Yan, Dawei Yang, Ming-Hsuan Yang, Tianyu Yang, Yi Yang, Zongxin Yang, Xuanwu Yin, Fisher Yu, Hongyuan Yu, Qianjin Yu, Weichen Yu, Yongsheng Yuan, Zehuan Yuan, Jianlin Zhang, Lu Zhang, Tianzhu Zhang, Guodongfang Zhao, Shaochuan Zhao, Yaozong Zheng, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu, Yueting Zhuang, ChengAo Zong, Kunlong Zuo

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.

Elham Soltanikazemi, Ashwin Dhakal, Bijaya Kumar Hatuwal, Imad Eddine Toubal, Armstrong Aboah, Kannappan Palaniappan

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

Marker and Motion Guided Deep Networks for Cell Segmentation and Detection Using Weakly Supervised Microscopy Data.

Gani Rahmon, Imad Eddine Toubal, D. D. W. Cornelison, Kannappan Palaniappan

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2022

Multi-Expert Deep Networks for Multi-Disease Detection in Retinal Fundus Images.

Linquan Lyu, Imad Eddine Toubal, Kannappan Palaniappan

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

2021

Single View Facial Age Estimation Using Deep Learning with Cascaded Random Forests.

Imad Eddine Toubal, Linquan Lyu, Dan Lin, Kannappan Palaniappan

Proceedings of the Computer Analysis of Images and Patterns, 2021

Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images.

Gani Rahmon, Imad Eddine Toubal, Kannappan Palaniappan

Proceedings of the 50th IEEE Applied Imagery Pattern Recognition Workshop, 2021

2020

Deep Learning Semantic Segmentation for High-Resolution Medical Volumes.

Imad Eddine Toubal, Ye Duan, Deshan Yang

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020

Deepfake Video Detection Based on Spatial, Spectral, and Temporal Inconsistencies Using Multimodal Deep Learning.

John K. Lewis, Imad Eddine Toubal, Helen Chen, Vishal Sandesera, Michael Lomnitz, Zigfried Hampel-Arias, Prasad Calyam, Kannappan Palaniappan

Proceedings of the 49th IEEE Applied Imagery Pattern Recognition Workshop, 2020