Ayan Kumar Bhunia

research

∙ 03/27/2023

What Can Human Sketches Do for Object Detection?

Sketches are highly expressive, inherently capturing subjective and fine...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 03/24/2023

Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

This paper advances the fine-grained sketch-based image retrieval (FG-SB...

0 Aneeshan Sain, et al. ∙

research

∙ 03/23/2023

CLIP for All Things Zero-Shot Sketch-Based Image Retrieval, Fine-Grained or Not

In this paper, we leverage CLIP for zero-shot sketch based image retriev...

0 Aneeshan Sain, et al. ∙

research

∙ 03/20/2023

Sketch2Saliency: Learning to Detect Salient Objects from Human Drawings

Human sketch has already proved its worth in various visual understandin...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/20/2023

Picture that Sketch: Photorealistic Image Generation from Abstract Sketches

Given an abstract, deformed, ordinary sketch from untrained amateurs lik...

0 Subhadeep Koley, et al. ∙

research

∙ 03/14/2023

Data-Free Sketch-Based Image Retrieval

Rising concerns about privacy and anonymity preservation of deep learnin...

2 Abhra Chaudhuri, et al. ∙

research

∙ 10/27/2022

Towards Practicality of Sketch-Based Visual Understanding

Sketches have been used to conceptualise and depict visual objects from ...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 07/04/2022

Adaptive Fine-Grained Sketch-Based Image Retrieval

The recent focus on Fine-Grained Sketch-Based Image Retrieval (FG-SBIR) ...

6 Ayan Kumar Bhunia, et al. ∙

research

∙ 04/25/2022

SceneTrilogy: On Scene Sketches and its Relationship with Text and Photo

We for the first time extend multi-modal scene understanding to include ...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 03/28/2022

Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches

The human visual system is remarkable in learning new visual concepts fr...

6 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/28/2022

Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval

Sketching enables many exciting applications, notably, image retrieval. ...

12 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/28/2022

Partially Does It: Towards Scene-Level FG-SBIR with Partial Input

We scrutinise an important observation plaguing scene-level sketch resea...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 03/28/2022

Sketch3T: Test-Time Training for Zero-Shot SBIR

Zero-shot sketch-based image retrieval typically asks for a trained mode...

0 Aneeshan Sain, et al. ∙

research

∙ 03/04/2022

FS-COCO: Towards Understanding of Freehand Sketches of Common Objects in Context

We advance sketch research to scenes with the first dataset of freehand ...

0 Pinaki Nath Chowdhury, et al. ∙

research

∙ 07/26/2021

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

Although text recognition has significantly evolved over the years, stat...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 07/26/2021

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

Text recognition remains a fundamental and extensively researched topic ...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 07/26/2021

Towards the Unseen: Iterative Text Recognition by Distilling from Errors

Visual text recognition is undoubtedly one of the most extensively resea...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 04/05/2021

MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition

Handwritten Text Recognition (HTR) remains a challenging problem to date...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/29/2021

StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval

Sketch-based image retrieval (SBIR) is a cross-modal matching problem wh...

0 Aneeshan Sain, et al. ∙

research

∙ 03/25/2021

More Photos are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval

A fundamental challenge faced by existing Fine-Grained Sketch-Based Imag...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 03/25/2021

Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

Self-supervised learning has gained prominence due to its efficacy at le...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 07/29/2020

Cross-Modal Hierarchical Modelling for Fine-Grained Sketch Based Image Retrieval

Sketch as an image search query is an ideal alternative to text in captu...

1 Aneeshan Sain, et al. ∙

research

∙ 03/08/2020

Fine-Grained Visual Classification via Progressive Multi-Granularity Training of Jigsaw Patches

Fine-grained visual classification (FGVC) is much more challenging than ...

6 Ruoyi Du, et al. ∙

research

∙ 02/24/2020

Sketch Less for More: On-the-Fly Fine-Grained Sketch Based Image Retrieval

Fine-grained sketch-based image retrieval (FG-SBIR) addresses the proble...

13 Ayan Kumar Bhunia, et al. ∙

research

∙ 02/11/2020

The Devil is in the Channels: Mutual-Channel Loss for Fine-Grained Image Classification

Key for solving fine-grained image categorization is finding discriminat...

13 Dongliang Chang, et al. ∙

research

∙ 02/09/2019

Facial Micro-Expression Spotting and Recognition using Time Contrasted Feature with Visual Memory

Facial micro-expressions are sudden involuntary minute muscle movements ...

4 Sauradip Nag, et al. ∙

research

∙ 11/04/2018

Texture Synthesis Guided Deep Hashing for Texture Image Retrieval

With the large-scale explosion of images and videos over the internet, e...

6 Ayan Kumar Bhunia, et al. ∙

research

∙ 11/04/2018

Handwriting Recognition in Low-resource Scripts using Adversarial Learning

Handwritten Word Recognition and Spotting is a challenging field dealing...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 11/04/2018

Query-based Logo Segmentation

Logo detection in real-world scene images is an important problem with u...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 11/01/2018

Cogni-Net: Cognitive Feature Learning through Deep Visual Perception

Can we ask computers to recognize what we see from brain signals alone? ...

10 Pranay Mukherjee, et al. ∙

research

∙ 10/31/2018

User Constrained Thumbnail Generation using Adaptive Convolutions

Thumbnails are widely used all over the world as a preview for digital i...

0 Perla Sai Raj Kishore, et al. ∙

research

∙ 10/25/2018

Improving Document Binarization via Adversarial Noise-Texture Augmentation

Binarization of degraded document images is an elementary step in most o...

7 Ankan Kumar Bhunia, et al. ∙

research

∙ 02/23/2018

Indic Handwritten Script Identification using Offline-Online Multimodal Deep Network

In this paper, we propose a novel approach of word-level Indic script id...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 01/22/2018

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

In this paper, we introduce a novel technique to recover the pen traject...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 01/22/2018

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

Conversion of one font to another font is very useful in real life appli...

0 Ankan Kumar Bhunia, et al. ∙

research

∙ 01/22/2018

Staff line Removal using Generative Adversarial Networks

Staff line removal is a crucial pre-processing step in Optical Music Rec...

0 Aishik Konwer, et al. ∙

research

∙ 01/03/2018

A Novel Feature Descriptor for Image Retrieval by Combining Modified Color Histogram and Diagonally Symmetric Co-occurrence Texture Pattern

In this paper, we have proposed a novel feature descriptors combining co...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 01/01/2018

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

Script identification facilitates many important applications in documen...

0 Ankan Kumar Bhunia, et al. ∙

research

∙ 12/30/2017

Fractional Local Neighborhood Intensity Pattern for Image Retrieval using Genetic Algorithm

In this paper, a new texture descriptor named "Fractional Local Neighbor...

0 Avirup Bhattacharyya, et al. ∙

research

∙ 12/19/2017

Cross-language Framework for Word Recognition and Spotting of Indic Scripts

Handwritten word recognition and spotting of low-resource scripts are di...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 12/05/2017

Zone-based Keyword Spotting in Bangla and Devanagari Documents

In this paper we present a word spotting system in text lines for offlin...

0 Ayan Kumar Bhunia, et al. ∙

research

∙ 09/07/2017

Local Neighborhood Intensity Pattern: A new texture feature descriptor for image retrieval

In this paper, a new texture descriptor based on the local neighborhood ...

0 Prithaj Banerjee, et al. ∙

research

∙ 08/18/2017

Word Searching in Scene Image and Video Frame in Multi-Script Scenario using Dynamic Shape Coding

Retrieval of text information from natural scene images and video frames...

0 Partha Pratim Roy, et al. ∙

research

∙ 08/01/2017

HMM-based Indic Handwritten Word Recognition using Zone Segmentation

This paper presents a novel approach towards Indic handwritten word reco...

0 Partha Pratim Roy, et al. ∙

research

∙ 07/22/2017

Multi-Oriented Text Detection and Verification in Video Frames and Scene Images

In this paper, we bring forth a novel approach of video text detection u...

0 Aneeshan Sain, et al. ∙

research

∙ 07/21/2017

Date-Field Retrieval in Scene Image and Video Frames using Text Enhancement and Shape Coding

Text recognition in scene image and video frames is difficult because of...

0 Partha Pratim Roy, et al. ∙

research

∙ 07/21/2017

HMM-based Writer Identification in Music Score Documents without Staff-Line Removal

Writer identification from musical score documents is a challenging task...

0 Partha Pratim Roy, et al. ∙

research

∙ 07/21/2017

Text Recognition in Scene Image and Video Frame using Color Channel Selection

In recent years, recognition of text from natural scene image and video ...

0 Ayan Kumar Bhunia, et al. ∙

Ayan Kumar Bhunia

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