4 papers
MeronymNet: A Hierarchical Approach for Unified and Controllable Multi-Category Object Generation
Rishabh Baghel, Abhishek Trivedi, Tejas Ravichandran +1
We introduce MeronymNet, a novel hierarchical approach for controllable, part-based generation of multi-category objects using a single unified model. We adopt a guided coarse-to-f…
Palmira: A Deep Deformable Network for Instance Segmentation of Dense and Uneven Layouts in Handwritten Manuscripts
Prema Satish Sharan, Sowmya Aitha, Amandeep Kumar +3
Handwritten documents are often characterized by dense and uneven layout. Despite advances, standard deep network based approaches for semantic layout segmentation are not robust t…
BoundaryNet: An Attentive Deep Network with Fast Marching Distance Maps for Semi-automatic Layout Annotation
Abhishek Trivedi, Ravi Kiran Sarvadevabhatla
Precise boundary annotations of image regions can be crucial for downstream applications which rely on region-class semantics. Some document collections contain densely laid out, h…
Indiscapes: Instance Segmentation Networks for Layout Parsing of Historical Indic Manuscripts
Abhishek Prusty, Sowmya Aitha, Abhishek Trivedi +1
Historical palm-leaf manuscript and early paper documents from Indian subcontinent form an important part of the world's literary and cultural heritage. Despite their importance, l…