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20172025
most citedMulti-Oriented Text Detection and Verification in Video Frames and Scene Images

46 citations · 151 across the 40 of their papers we have counts for

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Showing 2021Show all

7 papers · 1 filter

cs.CV2021★ 4 cited

Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition

Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar +3

Although text recognition has significantly evolved over the years, state-of-the-art (SOTA) models still struggle in the wild scenarios due to complex backgrounds, varying fonts, u…

cs.CV2021★ 2 cited

Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation

Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury +1

Text recognition remains a fundamental and extensively researched topic in computer vision, largely owing to its wide array of commercial applications. The challenging nature of th…

cs.CV2021★ 2 cited

Towards the Unseen: Iterative Text Recognition by Distilling from Errors

Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain +1

Visual text recognition is undoubtedly one of the most extensively researched topics in computer vision. Great progress have been made to date, with the latest models starting to f…

cs.CV2021

PQA: Perceptual Question Answering

Yonggang Qi, Kai Zhang, Aneeshan Sain +1

Perceptual organization remains one of the very few established theories on the human visual system. It underpinned many pre-deep seminal works on segmentation and detection, yet r…

cs.CV2021★ 3 cited

MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition

Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar +3

Handwritten Text Recognition (HTR) remains a challenging problem to date, largely due to the varying writing styles that exist amongst us. Prior works however generally operate wit…

cs.CV2021★ 10 cited

StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval

Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang +2

Sketch-based image retrieval (SBIR) is a cross-modal matching problem which is typically solved by learning a joint embedding space where the semantic content shared between photo…