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20192024
most citedTabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2024★ 1 cited

TabSniper: Towards Accurate Table Detection & Structure Recognition for Bank Statements

Abhishek Trivedi, Sourajit Mukherjee, Rajat Kumar Singh +3

Extraction of transaction information from bank statements is required to assess one's financial well-being for credit rating and underwriting decisions. Unlike other financial doc…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2021

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…

cs.CV2019

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…