179 citations · 255 across the 4 of their papers we have counts for
7 papers
Beyond Visual Semantics: Exploring the Role of Scene Text in Image Understanding
Arka Ujjal Dey, Suman Kumar Ghosh, Ernest Valveny +1
Images with visual and scene text content are ubiquitous in everyday life. However, current image interpretation systems are mostly limited to using only the visual features, negle…
Don't only Feel Read: Using Scene text to understand advertisements
Arka Ujjal Dey, Suman K. Ghosh, Ernest Valveny
We propose a framework for automated classification of Advertisement Images, using not just Visual features but also Textual cues extracted from embedded text. Our approach takes i…
Learning Cross-Modal Deep Embeddings for Multi-Object Image Retrieval using Text and Sketch
Sounak Dey, Anjan Dutta, Suman K. Ghosh +3
In this work we introduce a cross modal image retrieval system that allows both text and sketch as input modalities for the query. A cross-modal deep network architecture is formul…
R-PHOC: Segmentation-Free Word Spotting using CNN
Suman Ghosh, Ernest Valveny
This paper proposes a region based convolutional neural network for segmentation-free word spotting. Our net- work takes as input an image and a set of word candidate bound- ing bo…
SigNet: Convolutional Siamese Network for Writer Independent Offline Signature Verification
Sounak Dey, Anjan Dutta, J. Ignacio Toledo +3
Offline signature verification is one of the most challenging tasks in biometrics and document forensics. Unlike other verification problems, it needs to model minute but critical…
Visual attention models for scene text recognition
Suman K. Ghosh, Ernest Valveny, Andrew D. Bagdanov
In this paper we propose an approach to lexicon-free recognition of text in scene images. Our approach relies on a LSTM-based soft visual attention model learned from convolutional…
Query by String word spotting based on character bi-gram indexing
Suman K. Ghosh, Ernest Valveny
In this paper we propose a segmentation-free query by string word spotting method. Both the documents and query strings are encoded using a recently proposed word representa- tion…