5 citations · 18 across the 22 of their papers we have counts for
5 papers · 1 filter
TAM-VT: Transformation-Aware Multi-scale Video Transformer for Segmentation and Tracking
Raghav Goyal, Wan-Cyuan Fan, Mennatullah Siam +1
Video Object Segmentation (VOS) has emerged as an increasingly important problem with availability of larger datasets and more complex and realistic settings, which involve long vi…
Two-stage Joint Transductive and Inductive learning for Nuclei Segmentation
Hesham Ali, Idriss Tondji, Mennatullah Siam
AI-assisted nuclei segmentation in histopathological images is a crucial task in the diagnosis and treatment of cancer diseases. It decreases the time required to manually screen m…
Multiscale Memory Comparator Transformer for Few-Shot Video Segmentation
Mennatullah Siam, Rezaul Karim, He Zhao +1
Few-shot video segmentation is the task of delineating a specific novel class in a query video using few labelled support images. Typical approaches compare support and query featu…
Towards a Better Understanding of the Computer Vision Research Community in Africa
Abdul-Hakeem Omotayo, Mai Gamal, Eman Ehab +11
Computer vision is a broad field of study that encompasses different tasks (e.g., object detection). Although computer vision is relevant to the African communities in various appl…
MED-VT++: Unifying Multimodal Learning with a Multiscale Encoder-Decoder Video Transformer
Rezaul Karim, He Zhao, Richard P. Wildes +1
In this paper, we present an end-to-end trainable unified multiscale encoder-decoder transformer that is focused on dense prediction tasks in video. The presented Multiscale Encode…