Gani Rahmon

According to our database, Gani Rahmon authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

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

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

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

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

Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation.

Gani Rahmon, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection.

Gani Rahmon, Filiz Bunyak, Guna Seetharaman, Kannappan Palaniappan

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