Evaluation of Different Decision Fusion Mechanisms for Robust Moving Object Detection. - Gani Rahmon; Filiz Bunyak; Guna Seetharaman; Kannappan Palaniappan (AIPR, 2020)

Motion U-Net: Multi-cue Encoder-Decoder Network for Motion Segmentation. - Gani Rahmon; Filiz Bunyak; Guna Seetharaman; Kannappan Palaniappan (ICPR, 2020)

Extending U-Net Network for Improved Nuclei Instance Segmentation Accuracy in Histopathology Images. - Gani Rahmon; Imad Eddine Toubal; Kannappan Palaniappan (AIPR, 2021)

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 (AIPR, 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; et al. (ICCV (Workshops), 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 (BONBID-HIE@MICCAI, 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 (BONBID-HIE@MICCAI, 2023)

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; et al. (ECCV Workshops (7), 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)

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, 2025)