N. Das

发表

A statistical-topological feature combination for recognition of handwritten numerals

Mahantapas Kundu, Mita Nasipuri, Ram Sarkar, 2012, Appl. Soft Comput..

Handwritten isolated Bangla compound character recognition: A new benchmark using a novel deep learning approach

Mahantapas Kundu, Mita Nasipuri, Nibaran Das, 2017, Pattern Recognit. Lett..

Cytology Image Analysis Techniques Toward Automation

M. K. Naskar, N. Das, M. Nasipuri, 2021 .

An SVM Based Skin Disease Identification Using Local Binary Patterns

Mita Nasipuri, Anabik Pal, Nibaran Das, 2013, 2013 Third International Conference on Advances in Computing and Communications.

An Automated Approach Towards Digital Photo-Trichogram for Hair Fall Diagnosis

Mita Nasipuri, Nibaran Das, Somenath Sarkar, 2018 .

Indic Character Recognition using Capsule Networks

N. Das, Bodhisatwa Mandal, Suvam Dubey, 2019 .

Closed-set speaker identification using VQ and GMM based models

N. Das, Subhadip Basu, Bidhan Barai, 2021, International Journal of Speech Technology.

Ensemble Framework for Unsupervised Cervical Cell Segmentation

N. Das, K. Santosh, Shyamali Mitra, 2022, 2022 IEEE 35th International Symposium on Computer-Based Medical Systems (CBMS).

Variational Augmentation for Enhancing Historical Document Image Binarization✱

N. Das, M. Nasipuri, Avirup Dey, 2022, ICVGIP.

Weber local descriptor for image analysis and recognition: a survey

N. Das, K. Santosh, Arnab Banerjee, 2020, The Visual Computer.

A Skip-Connected Multi-column Network for Isolated Handwritten Bangla Character and Digit Recognition

N. Das, M. Kundu, M. Nasipuri, 2020, Sensing and Imaging.

Understanding Deep Learning Techniques for Image Segmentation

Ujjwal Maulik, Nibaran Das, Swarnendu Ghosh, 2019, ACM Comput. Surv..

Combining Multi-level Contexts of Superpixel using Convolutional Neural Networks to perform Natural Scene Labeling pdf

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2018, Advances in Intelligent Systems and Computing.

Identifying the Presence of Graphical Texts in Scene Images using CNN

Nibaran Das, Sk Md Obaidullah, Kaushik Roy, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

A benchmark image database of isolated Bangla handwritten compound characters

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2014, International Journal on Document Analysis and Recognition (IJDAR).

Two-phase Dynamic Routing for Micro and Macro-level Equivariance in Multi-Column Capsule Networks

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2021, Pattern Recognit..

Cytology Image Analysis Techniques Towards Automation: Systematically Revisited pdf

Mita Nasipuri, Mrinal Kanti Naskar, Nibaran Das, 2020, ACM Comput. Surv..

Deep learning: a review

N. Das, K. Santosh, Swarnendu Ghosh, 2022, Deep Learning Models for Medical Imaging.

LWSINet: A deep learning-based approach towards video script identification

Nibaran Das, Kaushik Roy, Himadri Mukherjee, 2021, Multimedia Tools and Applications.

Identification of Benign and Malignant Cells from Cytological Images Using Superpixel Based Segmentation Approach

Mita Nasipuri, Mrinal Kanti Naskar, Nibaran Das, 2018 .

GuideBP: Guiding Backpropagation Through Weaker Pathways of Parallel Logits pdf

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2021, ArXiv.

Closed-Set Device-Independent Speaker Identification Using CNN

Mita Nasipuri, Nibaran Das, Subhadip Basu, 2019 .

An improved Harmony Search Algorithm embedded with a novel piecewise opposition based learning algorithm

Mita Nasipuri, Nibaran Das, Ritesh Sarkhel, 2018, Eng. Appl. Artif. Intell..

A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition

Mita Nasipuri, Nibaran Das, Ritesh Sarkhel, 2016, Pattern Recognit..

An enhanced harmony search method for Bangla handwritten character recognition using region sampling

Nibaran Das, Ritesh Sarkhel, Amit K. Saha, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Harmony Search Metho aracter Recognition Us Sampling

Nibaran Das, Amit Saha, Amit K. Saha, 2015 .

PHDIndic_11: page-level handwritten document image dataset of 11 official Indic scripts for script identification

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2017, Multimedia Tools and Applications.

Region selection in handwritten character recognition using Artificial Bee Colony Optimization

M. Nasipuri, N. Das, S. Basu, 2012, 2012 Third International Conference on Emerging Applications of Information Technology.

A multi-scale deep quad tree based feature extraction method for the recognition of isolated handwritten characters of popular indic scripts

Mahantapas Kundu, Mita Nasipuri, Nibaran Das, 2017, Pattern Recognit..

The journey of graph kernels through two decades

Mahantapas Kundu, Teresa Gonçalves, Nibaran Das, 2018, Comput. Sci. Rev..

DevNet: An Efficient CNN Architecture for Handwritten Devanagari Character Recognition

Mahantapas Kundu, Mita Nasipuri, Nibaran Das, 2020, Int. J. Pattern Recognit. Artif. Intell..

CMATERdb1: a database of unconstrained handwritten Bangla and Bangla–English mixed script document image

D. K. Basu, N. Das, R. Sarkar, 2012, International Journal on Document Analysis and Recognition (IJDAR).

Handwritten Tibetan Character recognition based on ELM using modified HOG features

Nibaran Das, Shyamali Mitra, Aritra Dey, 2020, 2020 IEEE Calcutta Conference (CALCON).

Multiobjective optimization for recognition of isolated handwritten Indic scripts

Mahantapas Kundu, Nibaran Das, Ritesh Sarkhel, 2019, Pattern Recognit. Lett..

Handwritten Bangla character recognition using a soft computing paradigm embedded in two pass approach

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2015, Pattern Recognit..

An Improved Feature Descriptor for Recognition of Handwritten Bangla Alphabet pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2015, ArXiv.

A benchmark image database of isolated Bangla handwritten compound characters

N. Das, R. Sarkar, Subhadip Basu, 2014, International Journal on Document Analysis and Recognition.

An Axiomatic Fuzzy Set Theory Based Feature Selection Methodology for Handwritten Numeral Recognition

N. Das, R. Sarkar, Subhadip Basu, 2014 .

A genetic algorithm based region sampling for selection of local features in handwritten digit recognition application

Mahantapas Kundu, Mita Nasipuri, Ram Sarkar, 2012, Appl. Soft Comput..

A Novel GA-SVM Based Multistage Approach for Recognition of Handwritten Bangla Compound Characters

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2012 .

A novel framework for automatic sorting of postal documents with multi-script address blocks

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2010, Pattern Recognit..

A Skip-Connected Multi-column Network for Isolated Handwritten Bangla Character and Digit Recognition

Mahantapas Kundu, Mita Nasipuri, Nibaran Das, 2020, Sensing and Imaging.

A Genetic Algorithm based Kernel-size Selection Approach for a Multi-column Convolutional Neural Network

N. Das, M. Kundu, M. Nasipuri, 2019, ArXiv.

Automatic Indic script identification from handwritten documents: page, block, line and word-level approach

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2019, Int. J. Mach. Learn. Cybern..

Handwritten Indic Script Identification in Multi-Script Document Images: A Survey

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2018, Int. J. Pattern Recognit. Artif. Intell..

AUTOMATIC LINE-LEVEL SCRIPT IDENTIFICATION FROM HANDWRITTEN DOCUMENT IMAGES - A REGION-WISE CLASSIFICATION FRAMEWORK FOR INDIAN SUBCONTINENT

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2018 .

Benchmark databases of handwritten Bangla-Roman and Devanagari-Roman mixed-script document images

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2018, Multimedia Tools and Applications.

Automatic Indic script identification from handwritten documents: page, block, line and word-level approach

N. Das, K. Santosh, K. Roy, 2017, International Journal of Machine Learning and Cybernetics.

Extraction of Text Lines from Handwritten Documents Using Piecewise Water Flow Technique

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2014, J. Intell. Syst..

Text line extraction from handwritten document pages based on line contour estimation

M. Nasipuri, N. Das, S. Basu, 2012, 2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12).

Word Extraction and Character Segmentation from Text Lines of Unconstrained Handwritten Bangla Document Images

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2011, J. Intell. Syst..

Word level Script Identification from Bangla and Devanagri Handwritten Texts mixed with Roman Script pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2010, ArXiv.

Text Line Segmentation for Unconstrained Handwritten Document Images Using Neighborhood Connected Component Analysis

Subhadip Basu, Mita Nasipuri, Ram Sarkar, 2009, PReMI.

Line Extraction from Unconstraint Handwritten Document Pages using Piece-wise Water-flow Technique

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2009, IICAI.

Improved word-level handwritten Indic script identification by integrating small convolutional neural networks

Nibaran Das, Swarnendu Ghosh, Kaushik Roy, 2019, Neural Computing and Applications.

Handwritten Devanagari Script Segmentation: A non-linear Fuzzy Approach pdf

Subhadip Basu, Bibhash Sen, Ram Sarkar, 2015, ArXiv.

Word extraction from unconstrained handwritten Bangla document images using Spiral Run Length Smearing Algorithm

Subhadip Basu, Mita Nasipuri, Ram Sarkar, 2011, IICAI.

An improved offline handwritten character segmentation algorithm for Bangla script

Subhadip Basu, Mita Nasipuri, Samir Malakar, 2011, IICAI.

A Script Independent Technique for Extraction of Characters from Handwritten Word Images

Subhadip Basu, Mita Nasipuri, Samir Malakar, 2010, International Journal of Computer Applications.

A hierarchical approach to recognition of handwritten Bangla characters

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2009, Pattern Recognit..

A Fuzzy Technique for Segmentation of Handwritten Bangla Word Images

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2007, 2007 International Conference on Computing: Theory and Applications (ICCTA'07).

Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2010, ArXiv.

Separating Indic Scripts with matra for Effective Handwritten Script Identification in Multi-Script Documents

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2017, Int. J. Pattern Recognit. Artif. Intell..

Indic script identification from handwritten document images — An unconstrained block-level approach

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2015, 2015 IEEE 2nd International Conference on Recent Trends in Information Systems (ReTIS).

Transform based approach for Indic script identification from handwritten document images

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2015, 2015 3rd International Conference on Signal Processing, Communication and Networking (ICSCN).

Numeral Script Identification from Handwritten Document Images

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2015 .

An Approach for Automatic Indic Script Identification from Handwritten Document Images

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2015, ACSS.

Gabor Filter Based Technique for Offline Indic Script Identification from Handwritten Document Images

Nibaran Das, Kaushik Roy, Sk M. Obaidullah, 2014, 2014 International Conference on Devices, Circuits and Communications (ICDCCom).

Identification of Devnagari and Roman Scripts from Multi-script Handwritten Documents

Subhadip Basu, Mita Nasipuri, Ram Sarkar, 2013, PReMI.

Comparison of different classifiers for script identification from handwritten document

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2013, 2013 IEEE International Conference on Signal Processing, Computing and Control (ISPCC).

Text line extraction from handwritten document pages using spiral run length smearing algorithm

M. Nasipuri, N. Das, S. Basu, 2012, 2012 International Conference on Communications, Devices and Intelligent Systems (CODIS).

Script Identification from Printed Indian Document Images and Performance Evaluation Using Different Classifiers

Nibaran Das, Kaushik Roy, Sk Md Obaidullah, 2014, Appl. Comput. Intell. Soft Comput..

EDC3: Ensemble of Deep-Classifiers using Class-specific Copula functions to Improve Semantic Image Segmentation pdf

Mita Nasipuri, Nibaran Das, Alaka Das, 2020, ArXiv.

A Quantum Bi-Directional Self-Organizing Neural Network (QBDSONN) for binary image denoising

Bijaya K. Panigrahi, Siddhartha Bhattacharyya, B. K. Panigrahi, 2015, 2015 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

Cervical Cytology Classification Using PCA and GWO Enhanced Deep Features Selection pdf

Nibaran Das, Hritam Basak, Rohit Kundu, 2021, SN Computer Science.

SynCGAN: Using learnable class specific priors to generate synthetic data for improving classifier performance on cytological images pdf

Nibaran Das, Swarnendu Ghosh, Shyamali Mitra, 2020, ArXiv.

A Survey on Extreme Learning Machine and Evolution of Its Variants

Nibaran Das, Himadri Mukherjee, Sk Md Obaidullah, 2018, RTIP2R.

Extreme learning machine for handwritten Indic script identification in multiscript documents

Nibaran Das, Kaushik Roy, Himadri Mukherjee, 2018, J. Electronic Imaging.

Artistic multi-script identification at character level with extreme learning machine

Kaushik Roy, Nibaran Das, Himadri Mukherjee, 2020 .

GC-EnC: A Copula based ensemble of CNNs for malignancy identification in breast histopathology and cytology images

N. Das, M. Nasipuri, Shyamali Mitra, 2022, Comput. Biol. Medicine.

Reshaping inputs for convolutional neural network: Some common and uncommon methods

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2019, Pattern Recognit..

Multispectral Object Detection with Deep Learning

Mita Nasipuri, Nibaran Das, Somenath Kuiry, 2021, CICBA.

A Fast Algorithm for Automatic Segmentation of Pancreas Histological Images for Glucose Intolerance Identification

Mrinal Kanti Naskar, Nibaran Das, Tathagata Bandyopadhyay, 2018, Advances in Intelligent Systems and Computing.

Handwritten Bangla Compound character recognition: Potential challenges and probable solution

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2009, IICAI.

A GA Based approach for selection of local features for recognition of handwritten Bangla numerals pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2015, ArXiv.

Recognition of Handwritten Bangla Basic Characters and Digits using Convex Hull based Feature Set pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2014, ArXiv.

Development of a Smartphone application for bedside assessment of neuro-cognitive functions

Mita Nasipuri, Nibaran Das, Bappaditya Chowdhury, 2014, 2014 Applications and Innovations in Mobile Computing (AIMoC).

Deep learning for word-level handwritten Indic script identification pdf

Nibaran Das, Swarnendu Ghosh, Kaushik Roy, 2018, RTIP2R.

Deep Learning-Based Outdoor Object Detection Using Visible and Near-Infrared Spectrum

N. Das, M. Nasipuri, Somenath Kuiry, 2022, Multimedia Tools and Applications.

Object Localization on Natural Scenes: A Survey

Mita Nasipuri, Nibaran Das, Ritesh Sarkhel, 2018, Int. J. Pattern Recognit. Artif. Intell..

A distillation based approach for the diagnosis of diseases pdf

Nibaran Das, Biplab Banerjee, Hmrishav Bandyopadhyay, 2021, ArXiv.

SegFast-V2: Semantic image segmentation with less parameters in deep learning for autonomous driving

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2019, International Journal of Machine Learning and Cybernetics.

Cytology image analysis

Nibaran Das, Swarnendu Ghosh, K. C. Santosh, 2022, Deep Learning Models for Medical Imaging.

Closed-set speaker identification using VQ and GMM based models

N. Das, Subhadip Basu, M. Nasipuri, 2021, Int. J. Speech Technol..

Using thermal intensities to build conditional random fields for object segmentation at night

Nibaran Das, Swarnendu Ghosh, Bodhisatwa Mandal, 2020, 2020 4th International Conference on Computational Intelligence and Networks (CINE).

Im2Graph: A Weakly Supervised Approach for Generating Holistic Scene Graphs from Regional Dependencies

N. Das, Teresa Gonçalves, Swarnendu Ghosh, 2023, Future Internet.

A statistical-topological feature combination for recognition of handwritten numerals

D. K. Basu, N. Das, Jagan Mohan Reddy, 2012, Appl. Soft Comput..

A survey on different feature extraction methods for writer identification and verification

K. Roy, N. Das, Anasua Sarkar, 2023, Int. J. Appl. Pattern Recognit..

GSD-Net: Compact Network for Pixel-Level Graphical Symbol Detection

Nibaran Das, Swarnendu Ghosh, K. C. Santosh, 2019, 2019 International Conference on Document Analysis and Recognition Workshops (ICDARW).

Cervical cancerous cell classification: opposition-based harmony search for deep feature selection

L. Shen, N. Das, S. Chakraborty, 2023, International Journal of Machine Learning and Cybernetics.

Survey of Human Gait Analysis and Recognition for Medical and Forensic Applications

Subhadip Basu, Mita Nasipuri, Nibaran Das, 2021, Int. J. Digit. Crime Forensics.

Weber local descriptor for image analysis and recognition: a survey

Arnab Banerjee, Nibaran Das, K. C. Santosh, 2020, Vis. Comput..

Texture Classification Using Deep Neural Network Based on Rotation Invariant Weber Local Descriptor

Arnab Banerjee, Mita Nasipuri, Nibaran Das, 2016, RTIP2R.

Carp-DCAE: Deep convolutional autoencoder for carp fish classification

N. Das, M. Nasipuri, D. Bhattacharjee, 2022, Comput. Electron. Agric..

Improved Skin Disease Classification Using Generative Adversarial Network

Mita Nasipuri, Nibaran Das, K.C. Santosh, 2020, 2020 IEEE 33rd International Symposium on Computer-Based Medical Systems (CBMS).

Large-scale steganalysis using outlier detection method for image sharing application

N. Sruthi Das, P. S. Rasmi, N. Das, 2015, 2015 International Conference on Circuits, Power and Computing Technologies [ICCPCT-2015].

Identification of Malignancy from Cytological Images Based on Superpixel and Convolutional Neural Networks

Mita Nasipuri, Mrinal Kanti Naskar, Nibaran Das, 2020, Intelligent Computing Paradigm.

Statistical comparison of classifiers for script identification from multi-script handwritten documents

Subhadip Basu, Mita Nasipuri, Ram Sarkar, 2014, Int. J. Appl. Pattern Recognit..

Cytology Image Analysis Techniques Toward Automation

M. K. Naskar, N. Das, M. Nasipuri, 2021, ACM Comput. Surv..

Ambiguity Reduction Through Optimal Set of Region Selection Using GA and BFO for Handwritten Bangla Character Recognition

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2015 .

Recognition of Numeric Postal Codes from Multi-script Postal Address Blocks

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2009, PReMI.

Exploring Knowledge Distillation of a Deep Neural Network for Multi-Script identification pdf

Mahantapas Kundu, Mita Nasipuri, Nibaran Das, 2021, CICBA.

Handwritten Bangla Alphabet Recognition using an MLP Based Classifier pdf

Subhadip Basu, Mahantapas Kundu, Mita Nasipuri, 2012, ArXiv.

A multi-cue information based approach to contour detection by utilizing superpixel segmentation

Mita Nasipuri, Nibaran Das, Swarnendu Ghosh, 2016, 2016 International Conference on Advances in Computing, Communications and Informatics (ICACCI).

COVID-CT-H-UNet: a novel COVID-19 CT segmentation network based on attention mechanism and Bi-category Hybrid loss (preprint)

N. Das, M. Nasipuri, Somenath Kuiry, 2024, 2403.10880.