20 citations · 26 across the 11 of their papers we have counts for
4 papers · 2 filters
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…
Object Detection with Transformers: A Review
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +1
The astounding performance of transformers in natural language processing (NLP) has motivated researchers to explore their applications in computer vision tasks. DEtection TRansfor…
Bridging the Performance Gap between DETR and R-CNN for Graphical Object Detection in Document Images
Tahira Shehzadi, Khurram Azeem Hashmi, Didier Stricker +2
This paper takes an important step in bridging the performance gap between DETR and R-CNN for graphical object detection. Existing graphical object detection approaches have enjoye…
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…