Search Results for author: Ankan Kumar Bhunia

Found 11 papers, 4 papers with code

DoodleFormer: Creative Sketch Drawing with Transformers

no code implementations6 Dec 2021 Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Jorma Laaksonen, Michael Felsberg

Creative sketch image generation is a challenging vision problem, where the task is to generate diverse, yet realistic creative sketches possessing the unseen composition of the visual-world objects.

Handwriting Transformers

1 code implementation ICCV 2021 Ankan Kumar Bhunia, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah

We propose a novel transformer-based styled handwritten text image generation approach, HWT, that strives to learn both style-content entanglement as well as global and local writing style patterns.

Image Generation Text Generation

A Deep One-Shot Network for Query-based Logo Retrieval

2 code implementations4 Nov 2018 Ayan Kumar Bhunia, Ankan Kumar Bhunia, Shuvozit Ghose, Abhirup Das, Partha Pratim Roy, Umapada Pal

Logo detection in real-world scene images is an important problem with applications in advertisement and marketing.

Object Detection One-Shot Learning

Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network

no code implementations23 Feb 2018 Ayan Kumar Bhunia, Subham Mukherjee, Aneeshan Sain, Ankan Kumar Bhunia, Partha Pratim Roy, Umapada Pal

In this paper, we propose a novel approach of word-level Indic script identification using only character-level data in training stage.

Word Level Font-to-Font Image Translation using Convolutional Recurrent Generative Adversarial Networks

no code implementations22 Jan 2018 Ankan Kumar Bhunia, Ayan Kumar Bhunia, Prithaj Banerjee, Aishik Konwer, Abir Bhowmick, Partha Pratim Roy, Umapada Pal

We employ a novel convolutional recurrent model architecture in the Generator that efficiently deals with the word images of arbitrary width.

Translation

Handwriting Trajectory Recovery using End-to-End Deep Encoder-Decoder Network

no code implementations22 Jan 2018 Ayan Kumar Bhunia, Abir Bhowmick, Ankan Kumar Bhunia, Aishik Konwer, Prithaj Banerjee, Partha Pratim Roy, Umapada Pal

Our encoder module consists of Convolutional LSTM network, which takes an offline character image as the input and encodes the feature sequence to a hidden representation.

Script Identification in Natural Scene Image and Video Frame using Attention based Convolutional-LSTM Network

1 code implementation1 Jan 2018 Ankan Kumar Bhunia, Aishik Konwer, Ayan Kumar Bhunia, Abir Bhowmick, Partha P. Roy, Umapada Pal

In this paper, we propose a novel method that involves extraction of local and global features using CNN-LSTM framework and weighting them dynamically for script identification.

Scene Text

Signature Verification Approach using Fusion of Hybrid Texture Features

no code implementations27 Sep 2017 Ankan Kumar Bhunia, Alireza Alaei, Partha Pratim Roy

Finally, a score level classifier fusion method is used to integrate the scores obtained from the two one-class SVMs to achieve the verification score.

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