3 citations · 3 across the 2 of their papers we have counts for
4 papers · 1 filter
BoxMask: Revisiting Bounding Box Supervision for Video Object Detection
Khurram Azeem Hashmi, Alain Pagani, Didier Stricker +1
We present a new, simple yet effective approach to uplift video object detection. We observe that prior works operate on instance-level feature aggregation that imminently neglects…
Spatio-Temporal Learnable Proposals for End-to-End Video Object Detection
Khurram Azeem Hashmi, Didier Stricker, Muhammamd Zeshan Afzal
This paper presents the novel idea of generating object proposals by leveraging temporal information for video object detection. The feature aggregation in modern region-based vide…
Current Status and Performance Analysis of Table Recognition in Document Images with Deep Neural Networks
Khurram Azeem Hashmi, Marcus Liwicki, Didier Stricker +3
The first phase of table recognition is to detect the tabular area in a document. Subsequently, the tabular structures are recognized in the second phase in order to extract inform…
Guided Table Structure Recognition through Anchor Optimization
Khurram Azeem Hashmi, Didier Stricker, Marcus Liwicki +2
This paper presents the novel approach towards table structure recognition by leveraging the guided anchors. The concept differs from current state-of-the-art approaches for table…