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Ayan Banerjee

4 papers here

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
ORCID 0000-0001-6529-1644
same name
  • Ayan Banerjee — 51 papers, h 20
  • Ayan Banerjee — 15 papers, h 25
  • Ayan Banerjee — 13 papers, h 4
  • Ayan Banerjee — 9 papers, h 2
  • Ayan Banerjee — 6 papers, h 5
  • Ayan Banerjee — 5 papers, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2024

DistilDoc: Knowledge Distillation for Visually-Rich Document Applications

Jordy Van Landeghem, Subhajit Maity, Ayan Banerjee +4

This work explores knowledge distillation (KD) for visually-rich document (VRD) applications such as document layout analysis (DLA) and document image classification (DIC). While V…

cs.CV2024

CraftSVG: Multi-Object Text-to-SVG Synthesis via Layout Guided Diffusion

Ayan Banerjee, Nityanand Mathur, Josep Llados +2

Generating VectorArt from text prompts is a challenging vision task, requiring diverse yet realistic depictions of the seen as well as unseen entities. However, existing research h…

cs.CV2024

GraphKD: Exploring Knowledge Distillation Towards Document Object Detection with Structured Graph Creation

Ayan Banerjee, Sanket Biswas, Josep Lladós +1

Object detection in documents is a key step to automate the structural elements identification process in a digital or scanned document through understanding the hierarchical struc…

cs.CV2023

Harnessing the Power of Multi-Lingual Datasets for Pre-training: Towards Enhancing Text Spotting Performance

Alloy Das, Sanket Biswas, Ayan Banerjee +3

The adaptation capability to a wide range of domains is crucial for scene text spotting models when deployed to real-world conditions. However, existing state-of-the-art (SOTA) app…

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