P. Biswas

发表

Automated lung field segmentation in CT images using mean shift clustering and geometrical features

Niranjan Khandelwal, Prabir Kumar Biswas, Ashis Kumar Dhara, 2013, Medical Imaging.

Image quality assessment for a selective-processing noise-aided iterative enhancement algorithm

P. Biswas, R. Chouhan, Rajlaxmi Chouhan, 2016, 2016 Twenty Second National Conference on Communication (NCC).

Noise-enhanced contrast stretching of dark images in SVD-DWT domain

R. K. Jha, P. Biswas, R. Chouhan, 2013, 2013 Annual IEEE India Conference (INDICON).

Contrast enhancement of dark images using stochastic resonance

B. N. Chatterji, R. K. Jha, P. Biswas, 2012 .

Noise-induced contrast enhancement of dark images using non-dynamic stochastic resonance

R. K. Jha, P. Biswas, R. Chouhan, 2012, 2012 National Conference on Communications (NCC).

STAR-CUBE: A Special Purpose Interconnection Network for Signal Processing

P. Biswas, R. Datta, 2004 .

Comparison of similarity metrics for texture image retrieval

B. N. Chatterji, P. Biswas, M. Kokare, 2003, TENCON 2003. Conference on Convergent Technologies for Asia-Pacific Region.

SVDocNet: Spatially Variant U-Net for Blind Document Deblurring

P. Biswas, Bharat Mamidibathula, 2019 .

Segmentation Of Range Images Using Morphological Operators

Prabir Kumar Biswas, B. N. Chatterji, Biswanath N. Chatterji, 1991, TENCON '91. Region 10 International Conference on EC3-Energy, Computer, Communication and Control Systems.

A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2007, IEEE Transactions on Neural Networks.

Dynamic stochastic resonance-based improved watermark extraction from audio signal

P. Biswas, M. Mushrif, O. Krishna, 2012, 2012 National Conference on Communications (NCC).

ROTATION INVARIANT TEXTURE CLASIFICATION USING GABOR WAVELETS

R. Manthalkar, P. Biswas, 2002 .

A Survey of Rotation Invariant Texture Classification Methods

R. Manthalkar, P. Biswas, P. Biswas, 2002 .

Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising pdf

Prabir Kumar Biswas, Sutanu Bera, P. Biswas, 2020, IEEE Transactions on Medical Imaging.

A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture

P. Biswas, A. Nandedkar, 2007, IEEE Transactions on Neural Networks.

Wavelet Image Resizing in the Block DCT Space

J. Mukherjee, P. Biswas, K. Viswanath, 2011, 2011 Third National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics.

Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence

P. Biswas, Sutanu Bera, 2022, 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).

Spatiotemporal deep networks for detecting abnormality in videos

P. Biswas, M. Sharma, D. Sheet, 2020, Multimedia Tools and Applications.

Hybrid Domain Analysis of Noise-Aided Contrast Enhancement Using Stochastic Resonance

P. Biswas, R. Chouhan, R. K. Jha, 2016, Journal of Signal Processing Systems.

Investigations on fuzzy thresholding based on fuzzy clustering

C. V. Jawahar, Prabir Kumar Biswas, A. K. Ray, 1997, Pattern Recognit..

A scalable model for knowledge sharing based supervised learning using AdaBoost

Prabir Kumar Biswas, Avisek Lahiri, P. Biswas, 2015, 2015 Eighth International Conference on Advances in Pattern Recognition (ICAPR).

SSIM-based joint-bit allocation for 3D video coding

Prabir Kumar Biswas, Y Harshalatha, P. Biswas, 2017, Multimedia Tools and Applications.

Rate distortion optimization using SSIM for 3D video coding

Prabir Kumar Biswas, Y Harshalatha, P. Biswas, 2016, 2016 23rd International Conference on Pattern Recognition (ICPR).

Lightweight Modules for Efficient Deep Learning Based Image Restoration pdf

Prabir Kumar Biswas, Avisek Lahiri, Sutanu Bera, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Prior Guided GAN Based Semantic Inpainting

Prabir Kumar Biswas, Avisek Lahiri, Arnav Kumar Jain, 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Dark and low-contrast image enhancement using dynamic stochastic resonance in discrete cosine transform domain

Kiyoharu Aizawa, Prabir Kumar Biswas, Rajib Kumar Jha, 2013, APSIPA Transactions on Signal and Information Processing.

Enhancement of dark and low-contrast images using dynamic stochastic resonance

Prabir Kumar Biswas, Rajib Kumar Jha, Rajlaxmi Chouhan, 2013, IET Image Process..

Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance

Prabir Kumar Biswas, Rajib Kumar Jha, Rajlaxmi Chouhan, 2012, ICVGIP '12.

Reflex Fuzzy Min Max Neural Network for Semi-supervised Learning

Abhijeet V. Nandedkar, P.Κ Biswas, P. Biswas, 2008 .

A General Reflex Fuzzy Min-Max Neural Network

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2007, Eng. Lett..

A General Fuzzy Min Max Neural Network with Compensatory Neuron Architecture

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2005, KES.

A fuzzy min-max neural network classifier with compensatory neuron architecture

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2004, Proceedings of the 17th International Conference on Pattern Recognition, 2004. ICPR 2004..

Mean shift clustering based outlier removal for global motion estimation

Manish Okade, Prabir Kumar Biswas, P. Biswas, 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

Fractal dimension estimation for texture images: A parallel approach

Prabir Kumar Biswas, Manoj Kumar Biswas, Tirthankar Ghose, 1998, Pattern Recognit. Lett..

Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing pdf

Prabir Kumar Biswas, Debashis Sen, Aupendu Kar, 2020, ArXiv.

Progressive Update Guided Interdependent Networks for Single Image Dehazing

P. Biswas, S. K. Dhara, Debashis Sen, 2020, 2008.01701.

Global abnormal events detection in crowded scenes using context location and motion-rich spatio-temporal volumes

Prabir Kumar Biswas, N. Patil, P. Biswas, 2017, IET Image Process..

Detection of global abnormal events in crowded scenes

Prabir Kumar Biswas, N. Patil, P. Biswas, 2017, 2017 Twenty-third National Conference on Communications (NCC).

Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography

Prabir Kumar Biswas, Abhijit Guha Roy, Avisek Lahiri, 2016, 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC).

Texture image retrieval using rotated wavelet filters

Prabir Kumar Biswas, B. N. Chatterji, Manesh Kokare, 2007, Pattern Recognit. Lett..

Rotation and scale invariant texture features using discrete wavelet packet transform

Prabir Kumar Biswas, B. N. Chatterji, Biswanath N. Chatterji, 2003, Pattern Recognit. Lett..

Texture image retrieval using new rotated complex wavelet filters

Prabir Kumar Biswas, B. N. Chatterji, Manesh Kokare, 2005, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Analysis of fuzzy thresholding schemes

C. V. Jawahar, Prabir Kumar Biswas, A. K. Ray, 2000, Pattern Recognit..

Detection of clusters of distinct geometry: A step towards generalised fuzzy clustering

C. V. Jawahar, Prabir Kumar Biswas, A. K. Ray, 1995, Pattern Recognit. Lett..

Unsupervised classification of land cover using multi-modal data from multi-spectral and hybrid-polarimetric SAR imageries

Prabir Kumar Biswas, Jayanta Mukherjee, Subhas Aikat, 2020 .

Toward Automated Land Cover Classification in Landsat Images Using Spectral Slopes at Different Bands

Prabir Kumar Biswas, Jayanta Mukherjee, Subhas Aikat, 2017, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.

Spectral slopes for automated classification of land cover in landsat images

Jayanta Mukhopadhyay, Prabir Kumar Biswas, Shashaank M. Aswatha, 2016, 2016 IEEE International Conference on Image Processing (ICIP).

An SIMD algorithm for range image segmentation

Prabir Kumar Biswas, B. N. Chatterji, Biswanath N. Chatterji, 1995, Pattern Recognit..

Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters

P.K. Biswas, M. Kokare, B.N. Chatterji, 2006, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics).

Texture aware autoencoder pre-training and pairwise learning refinement for improved iris recognition

P. Biswas, Pabitra Mitra, M. Chakraborty, 2022, Multimedia Tools and Applications.

Cosine-modulated wavelet based texture features for content-based image retrieval

Prabir Kumar Biswas, B. N. Chatterji, Manesh Kokare, 2004, Pattern Recognit. Lett..

A Granular Reflex Fuzzy Min–Max Neural Network for Classification

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2009, IEEE Transactions on Neural Networks.

A parallel LEGION algorithm and cell-based architecture for real time split and merge video segmentation

P. Biswas, Pradipta Roy, 2018, Journal of Real-Time Image Processing.

A novel moving object segmentation framework utilizing camera motion recognition for H.264 compressed videos

Manish Okade, Prabir Kumar Biswas, P. Biswas, 2016, J. Vis. Commun. Image Represent..

Hybrid Domain Analysis of Noise-Aided Contrast Enhancement Using Stochastic Resonance

Prabir Kumar Biswas, Rajib Kumar Jha, Rajlaxmi Chouhan, 2017, J. Signal Process. Syst..

Internal noise-induced contrast enhancement of dark images

Kiyoharu Aizawa, Prabir Kumar Biswas, Rajib Kumar Jha, 2012, 2012 19th IEEE International Conference on Image Processing.

Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach pdf

Prabir Kumar Biswas, Avisek Lahiri, Vineet Jain, 2018, ArXiv.

A survey of video datasets for anomaly detection in automated surveillance

Prabir Kumar Biswas, N. Patil, P. Biswas, 2016, 2016 Sixth International Symposium on Embedded Computing and System Design (ISED).

Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-Linear Color Balancing

Prabir Kumar Biswas, Sobhan Kanti Dhara, Debashis Sen, 2020, IEEE Transactions on Circuits and Systems for Video Technology.

Time series-based SHM using PCA with application to ASCE benchmark structure

Prabir Kumar Biswas, Kundan Kumar, Nirjhar Dhang, 2020, Journal of Civil Structural Health Monitoring.

Progressive Update Guided Interdependent Networks for Single Image Dehazing

P. Biswas, S. K. Dhara, Debashis Sen, 2020, 2008.01701.

Zero-shot Single Image Restoration through Controlled Perturbation of Koschmieder’s Model

P. Biswas, D. Sen, S. K. Dhara, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model

Prabir Kumar Biswas, Rajlaxmi Chouhan, P. Biswas, 2015, 2015 Visual Communications and Image Processing (VCIP).

Logo Extraction using Combined discrete Wavelet Transform and Dynamic Stochastic Resonance

Prabir Kumar Biswas, Rajib Kumar Jha, B. N. Chatterji, 2013, Int. J. Image Graph..

Dynamic stochastic resonance-based improved watermark extraction in DWT-SVD domain

P. K. Biswas, P. Biswas, O. Krishna, 2012, 2012 4th International Conference on Intelligent and Advanced Systems (ICIAS2012).

Enhancement of Digital Images using Stochastic Resonance

B. N. Chatterji, P. Biswas, R.K. Jha, 2005, TENCON 2005 - 2005 IEEE Region 10 Conference.

Logo extraction using dynamic stochastic resonance

R. K. Jha, P. Biswas, S. Shrivastava, 2013, Signal Image Video Process..

Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network pdf

Pabitra Mitra, Prabir Kumar Biswas, Avisek Lahiri, 2017, ArXiv.

Improved Techniques for GAN based Facial Inpainting pdf

Prabir Kumar Biswas, Avisek Lahiri, Arnav Kumar Jain, 2018, ArXiv.

Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images

Prabir Kumar Biswas, Avisek Lahiri, Charan Reddy, 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).

Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting

Prabir Kumar Biswas, Rajib Kumar Jha, Rajlaxmi Chouhan, 2015, Signal Image Video Process..

Object Recognition Using Reflex Fuzzy Min-Max Neural Network with Floating Neurons

Prabir Kumar Biswas, Abhijeet V. Nandedkar, P. Biswas, 2006, ICVGIP.

Packet loss-ratio based scheduler: an adaptive scheduling scheme to increase the number of multimedia applications in WLAN

Raja Datta, Prabir Kumar Biswas, Mangalathu Jibukumar, 2011, Int. J. Ultra Wideband Commun. Syst..

Rotation Invariant Color Texture Classification in Perceptually Uniform Color Spaces

Prabir Kumar Biswas, B. N. Chatterji, Biswanath N. Chatterji, 2002, ICVGIP.

A simple and robust edge detection scheme based on coupled oscillatory diffusion system

Prabir Kumar Biswas, Binoy Kumar Das, Pradipta Roy, 2017, 2017 22nd International Conference on Digital Signal Processing (DSP).

Improving Video Stabilization Using Multi-Resolution MSER Features

Manish Okade, Prabir Kumar Biswas, P. Biswas, 2014 .

New packet aggregation schemes for multimedia applications in WLAN

Raja Datta, Prabir Kumar Biswas, Mangalathu Jibukumar, 2010, 2010 IEEE Network Operations and Management Symposium - NOMS 2010.

A data-driven approach for clustering scatter values in hybrid-polarimetric SAR images

Jayanta Mukhopadhyay, Prabir Kumar Biswas, Subhas Aikat, 2019, International Journal of Remote Sensing.

Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal

Prabir Kumar Biswas, Sutanu Bera, P. Biswas, 2021, ArXiv.

Frame-level global context modeling for detection and localization of abnormality

P. Biswas, M. Sharma, Debdoot Sheet, 2023, Multimedia Tools and Applications.

Limitations with measuring performance of techniques for abnormality localization in surveillance video and how to overcome them?

Prabir Kumar Biswas, Sayan Sarcar, Manoj Kumar Sharma, 2016, ICVGIP '16.

Abnormality Detecting Deep Belief Network

Prabir Kumar Biswas, Manoj Kumar Sharma, Debdoot Sheet, 2016 .

Image Embedding for Detecting Irregularity

Prabir Kumar Biswas, Manoj Kumar Sharma, Debdoot Sheet, 2018, CVIP.

Global abnormal events detection in surveillance video — A hierarchical approach

Prabir Kumar Biswas, N. Patil, P. Biswas, 2016, 2016 Sixth International Symposium on Embedded Computing and System Design (ISED).

Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case

Pabitra Mitra, Prabir Kumar Biswas, Kumar Ayush, 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Parallel mesh regularization and resampling algorithm for improved mesh registration

Partha Bhowmick, Prabir Kumar Biswas, Somnath Dutta, 2013, 2013 Fourth National Conference on Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG).

COMA-boost: co-operative multi agent AdaBoost

Prabir Kumar Biswas, Biswajit Paria, Avisek Lahiri, 2016, ICVGIP '16.

A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting

Prabir Kumar Biswas, Avisek Lahiri, P. Biswas, 2014, ACCV.

Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network

P. Biswas, Aupendu Kar, 2019, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network pdf

Prabir Kumar Biswas, Aupendu Kar, P. Biswas, 2019, ArXiv.

Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach

Prabir Kumar Biswas, Avisek Lahiri, Vineet Jain, 2020, 2020 IEEE International Conference on Image Processing (ICIP).

Impact of sensing model on wireless sensor network coverage

Ashraf Hossain, S. Chakrabarti, P. K. Biswas, 2012, IET Wirel. Sens. Syst..

Sensing Models and Its Impact on Network Coverage in Wireless Sensor Network

Ashraf Hossain, S. Chakrabarti, P. K. Biswas, 2008, 2008 IEEE Region 10 and the Third international Conference on Industrial and Information Systems.

Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion

P. Biswas, Saumik Bhattacharya, K. Ghosh, 2022, 2022 IEEE International Conference on Image Processing (ICIP).

Image denoising using dynamic stochastic resonance in wavelet domain

Prabir Kumar Biswas, Rajib Kumar Jha, Rajlaxmi Chouhan, 2012, 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA).

Semi-supervised Classification of Land Cover in Multi-spectral Images Using Spectral Slopes

Jayanta Mukhopadhyay, Prabir Kumar Biswas, Shashaank M. Aswatha, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

PolicyGAN: Training generative adversarial networks using policy gradient

Prabir Kumar Biswas, Biswajit Paria, Avisek Lahiri, 2017, 2017 Ninth International Conference on Advances in Pattern Recognition (ICAPR).

Optimizing cotton‐picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm‐assisted artificial neural network

P. Biswas, L. Dhruw, Naseeb Singh, 2023, Journal of Field Robotics.

Axial Consistent Memory GAN With Interslice Consistency Loss for Low Dose Computed Tomography Image Denoising

P. Biswas, Sutanu Bera, 2024, IEEE Transactions on Radiation and Plasma Medical Sciences.

Rotation invariant texture classification using even symmetric Gabor filters

Prabir Kumar Biswas, B. N. Chatterji, Biswanath N. Chatterji, 2003, Pattern Recognit. Lett..

A Survey on Current Content based Image Retrieval Methods

Prabir Kumar Biswas, B. N. Chatterji, Manesh Kokare, 2002 .

Suprathreshold stochastic resonance and maximizing network for watermark detection

Prabir Kumar Biswas, Deepak Mishra, Rajib Kumar Jha, 2012, J. Electronic Imaging.

Spatiotemporal deep networks for detecting abnormality in videos

M. K. Sharma, D. Sheet, P. K. Biswas, 2020, Multimedia Tools and Applications.

WEPSAM: Weakly Pre-Learnt Saliency Model pdf

Pabitra Mitra, Prabir Kumar Biswas, Avisek Lahiri, 2016, ArXiv.

Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization

P. Biswas, Sutanu Bera, Vaibhav Khamankar, 2023, ISIC/Care-AI/MedAGI/DeCaF@MICCAI.

Self-Supervision via Controlled Transformation and Unpaired Self-Conditioning for Low-Light Image Enhancement

P. Biswas, S. K. Dhara, Aupendu Kar, 2024, IEEE Transactions on Instrumentation and Measurement.