1 citations · 2 across the 4 of their papers we have counts for
4 papers
UnSupDLA: Towards Unsupervised Document Layout Analysis
Talha Uddin Sheikh, Tahira Shehzadi, Khurram Azeem Hashmi +2
Document layout analysis is a key area in document research, involving techniques like text mining and visual analysis. Despite various methods developed to tackle layout analysis,…
Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +1
In this paper, we address the limitations of the DETR-based semi-supervised object detection (SSOD) framework, particularly focusing on the challenges posed by the quality of objec…
FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision
Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker +1
Extracting useful visual cues for the downstream tasks is especially challenging under low-light vision. Prior works create enhanced representations by either correlating visual qu…
Towards End-to-End Semi-Supervised Table Detection with Deformable Transformer
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +2
Table detection is the task of classifying and localizing table objects within document images. With the recent development in deep learning methods, we observe remarkable success…