1.9k citations · 2.1k across the 21 of their papers we have counts for
23 papers
AdaNorm: Adaptive Gradient Norm Correction based Optimizer for CNNs
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
The stochastic gradient descent (SGD) optimizers are generally used to train the convolutional neural networks (CNNs). In recent years, several adaptive momentum based SGD optimize…
Activation Functions in Deep Learning: A Comprehensive Survey and Benchmark
Shiv Ram Dubey, Satish Kumar Singh, Bidyut Baran Chaudhuri
Neural networks have shown tremendous growth in recent years to solve numerous problems. Various types of neural networks have been introduced to deal with different types of probl…
AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks
Shiv Ram Dubey, S. H. Shabbeer Basha, Satish Kumar Singh +1
The convolutional neural networks (CNNs) are generally trained using stochastic gradient descent (SGD) based optimization techniques. The existing SGD optimizers generally suffer w…
A Novel Deep Learning Method for Thermal to Annotated Thermal-Optical Fused Images
Suranjan Goswami, Satish Kumar Singh, and Bidyut B. Chaudhuri
Thermal Images profile the passive radiation of objects and capture them in grayscale images. Such images have a very different distribution of data compared to optical colored ima…
AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks
S. K. Roy, M. E. Paoletti, J. M. Haut +4
Convolutional neural networks (CNNs) are trained using stochastic gradient descent (SGD)-based optimizers. Recently, the adaptive moment estimation (Adam) optimizer has become very…
Intra-Variable Handwriting Inspection Reinforced with Idiosyncrasy Analysis
Chandranath Adak, Bidyut B. Chaudhuri, Chin-Teng Lin +1
In this paper, we work on intra-variable handwriting, where the writing samples of an individual can vary significantly. Such within-writer variation throws a challenge for automat…
A Method to Generate Synthetically Warped Document Image
Arpan Garai, Samit Biswas, Sekhar Mandal +1
The digital camera captured document images may often be warped and distorted due to different camera angles or document surfaces. A robust technique is needed to solve this kind o…
diffGrad: An Optimization Method for Convolutional Neural Networks
Shiv Ram Dubey, Soumendu Chakraborty, Swalpa Kumar Roy +3
Stochastic Gradient Decent (SGD) is one of the core techniques behind the success of deep neural networks. The gradient provides information on the direction in which a function ha…
A BLSTM Network for Printed Bengali OCR System with High Accuracy
Debabrata Paul, Bidyut Baran Chaudhuri
This paper presents a printed Bengali and English text OCR system developed by us using a single hidden BLSTM-CTC architecture having 128 units. Here, we did not use any peephole c…
HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification
Swalpa Kumar Roy, Gopal Krishna, Shiv Ram Dubey +1
Hyperspectral image (HSI) classification is widely used for the analysis of remotely sensed images. Hyperspectral imagery includes varying bands of images. Convolutional Neural Net…
A Kalman filtering induced heuristic optimization based partitional data clustering
Arjun Pakrashi, Bidyut B. Chaudhuri
Clustering algorithms have regained momentum with recent popularity of data mining and knowledge discovery approaches. To obtain good clustering in reasonable amount of time, vario…
LiSHT: Non-Parametric Linearly Scaled Hyperbolic Tangent Activation Function for Neural Networks
Swalpa Kumar Roy, Suvojit Manna, Shiv Ram Dubey +1
The activation function in neural network introduces the non-linearity required to deal with the complex tasks. Several activation/non-linearity functions are developed for deep le…
Synthetic data generation for Indic handwritten text recognition
Partha Pratim Roy, Akash Mohta, Bidyut B. Chaudhuri
This paper presents a novel approach to generate synthetic dataset for handwritten word recognition systems. It is difficult to recognize handwritten scripts for which sufficient t…
Trajectory-based Scene Understanding using Dirichlet Process Mixture Model
Santhosh Kelathodi Kumaran, Debi Prosad Dogra, Partha Pratim Roy +1
Appropriate modeling of a surveillance scene is essential for detection of anomalies in road traffic. Learning usual paths can provide valuable insight into road traffic conditions…
FWLBP: A Scale Invariant Descriptor for Texture Classification
Swalpa Kumar Roy, Nilavra Bhattacharya, Bhabatosh Chanda +2
In this paper we propose a novel texture descriptor called Fractal Weighted Local Binary Pattern (FWLBP). The fractal dimension (FD) measure is relatively invariant to scale-change…
Local Jet Pattern: A Robust Descriptor for Texture Classification
Swalpa Kumar Roy, Bhabatosh Chanda, Bidyut B. Chaudhuri +2
Methods based on local image features have recently shown promise for texture classification tasks, especially in the presence of large intra-class variation due to illumination, s…
An Empirical Study on Writer Identification & Verification from Intra-variable Individual Handwriting
Chandranath Adak, Bidyut B. Chaudhuri, Michael Blumenstein
The handwriting of an individual may vary substantially with factors such as mood, time, space, writing speed, writing medium and tool, writing topic, etc. It becomes challenging t…
An Analysis of Rhythmic Staccato-Vocalization Based on Frequency Demodulation for Laughter Detection in Conversational Meetings
Sucheta Ghosh, Milos Cernak, Sarbani Palit +1
Human laugh is able to convey various kinds of meanings in human communications. There exists various kinds of human laugh signal, for example: vocalized laugh and non vocalized la…
Direct Processing of Document Images in Compressed Domain
Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri
With the rapid increase in the volume of Big data of this digital era, fax documents, invoices, receipts, etc are traditionally subjected to compression for the efficiency of data…
Text Line Identification in Tagore's Manuscript
Chandranath Adak, Bidyut B. Chaudhuri
In this paper, a text line identification method is proposed. The text lines of printed document are easy to segment due to uniform straightness of the lines and sufficient gap bet…
Automatic Detection of Font Size Straight from Run Length Compressed Text Documents
Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri
Automatic detection of font size finds many applications in the area of intelligent OCRing and document image analysis, which has been traditionally practiced over uncompressed doc…
Direct Processing of Run Length Compressed Document Image for Segmentation and Characterization of a Specified Block
Mohammed Javed, P. Nagabhushan, B. B. Chaudhuri
Extracting a block of interest referred to as segmenting a specified block in an image and studying its characteristics is of general research interest, and could be a challenging…
Video Text Localization using Wavelet and Shearlet Transforms
Purnendu Banerjee, B. B. Chaudhuri
Text in video is useful and important in indexing and retrieving the video documents efficiently and accurately. In this paper, we present a new method of text detection using a co…