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Prabir K. Biswas
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2020 – today
- 2024
[j50]Naseeb Singh
, Virendra Kumar Tewari, Prabir Kumar Biswas, Laxmi Kant Dhruw, Smrutilipi Hota, Vijay Mahore:
In-field performance evaluation of robotic arm developed for harvesting cotton bolls. Comput. Electron. Agric. 227: 109517 (2024)- [j49]Naseeb Singh, Virendra Kumar Tewari, Prabir Kumar Biswas, Laxmi Kant Dhruw, Rakesh Ranjan, Abhishek Ranjan:
Optimizing cotton-picking robotic manipulator and inverse kinematics modeling using evolutionary algorithm-assisted artificial neural network. J. Field Robotics 41(7): 2322-2342 (2024) - [j48]Aupendu Kar, Suresh Nehra, Jayanta Mukherjee, Prabir Kumar Biswas:
Adapting the Learning Models of Single Image Super-Resolution Into Light-Field Imaging. IEEE Trans. Computational Imaging 10: 496-509 (2024) - [j47]Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas:
Self-Supervision via Controlled Transformation and Unpaired Self-Conditioning for Low-Light Image Enhancement. IEEE Trans. Instrum. Meas. 73: 1-13 (2024) - [j46]Ashish Verma, Aupendu Kar, Krishnendu Ghosh, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas:
Artificially Generated Visual Scanpath Improves Multilabel Thoracic Disease Classification in Chest X-Ray Images. IEEE Trans. Instrum. Meas. 73: 1-11 (2024) - 2023
- [j45]Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture aware autoencoder pre-training and pairwise learning refinement for improved iris recognition. Multim. Tools Appl. 82(16): 25381-25401 (2023) - [j44]Manoj Kumar Sharma, Vikas Kumar, Debdoot Sheet, Prabir Kumar Biswas:
Frame-level global context modeling for detection and localization of abnormality. Multim. Tools Appl. 82(25): 38345-38370 (2023) - [c80]Arnab Poddar, Abhishek Kumar Sah, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Generative Pipeline for Data Augmentation of Unconstrained Document Images with Structural and Textural Degradation (Student Abstract). AAAI 2023: 16298-16299 - [c79]Arnab Poddar, Soumyadeep Dey, Pratik Jawanpuria, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
TBM-GAN: Synthetic Document Generation with Degraded Background. ICDAR (2) 2023: 366-383 - [c78]Sutanu Bera, Prabir Kumar Biswas:
Noise Conditioned Weight Modulation for Robust and Generalizable Low Dose CT Denoising. MICCAI (10) 2023: 88-97 - [c77]Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas:
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization. ISIC/Care-AI/MedAGI/DeCaF@MICCAI 2023: 285-294 - [c76]Sutanu Bera, Vinay Ummadi, Debashis Sen, Subhamoy Mandal, Prabir Kumar Biswas:
Memory Replay for Continual Medical Image Segmentation Through Atypical Sample Selection. MICCAI (4) 2023: 513-522 - [c75]Sutanu Bera, Prabir Kumar Biswas:
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence. WACV 2023: 5603-5612 - [i21]Vaibhav Khamankar, Sutanu Bera, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas:
Histopathological Image Analysis with Style-Augmented Feature Domain Mixing for Improved Generalization. CoRR abs/2310.20638 (2023) - 2022
- [c74]Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Sub-Aperture Feature Adaptation in Single Image Super-Resolution Model for Light Field Imaging. ICIP 2022: 3451-3455 - [c73]Krishnendu Ghosh, Aupendu Kar, Saumik Bhattacharya, Debashis Sen, Prabir Kumar Biswas:
Multi-Latent GAN Inversion for Unsupervised 3D Shape Completion. ICIP 2022: 3460-3464 - [c72]Sutanu Bera, Prabir Kumar Biswas:
Gated Convolutional Network for Metal Artifact Reduction in Computed Tomography Images. ICIP 2022: 4118-4122 - [c71]Suresh Nehra, Jayanta Laha, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Depth estimation using Stereo Light Field Camera✱. ICVGIP 2022: 23:1-23:9 - [c70]Sutanu Bera, Prabir Kumar Biswas:
Analyzing and Improving Low Dose CT Denoising Network via HU Level Slicing. MICCAI (6) 2022: 593-602 - [i20]Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition. CoRR abs/2202.07499 (2022) - [i19]Aupendu Kar, Suresh Nehra, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Sub-Aperture Feature Adaptation in Single Image Super-resolution Model for Light Field Imaging. CoRR abs/2207.11894 (2022) - [i18]Sutanu Bera, Prabir Kumar Biswas:
Self Supervised Low Dose Computed Tomography Image Denoising Using Invertible Network Exploiting Inter Slice Congruence. CoRR abs/2211.01618 (2022) - 2021
- [j43]Y. Harshalatha, Prabir Kumar Biswas:
Structural similarity-based rate control algorithm for 3D video. Multim. Tools Appl. 80(17): 25897-25908 (2021) - [j42]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Local instance and context dictionary-based detection and localization of abnormalities. Mach. Vis. Appl. 32(3): 69 (2021) - [j41]Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas:
Lightweight Modules for Efficient Deep Learning Based Image Restoration. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1395-1410 (2021) - [j40]Sobhan Kanti Dhara, Mayukh Roy, Debashis Sen, Prabir Kumar Biswas:
Color Cast Dependent Image Dehazing via Adaptive Airlight Refinement and Non-Linear Color Balancing. IEEE Trans. Circuits Syst. Video Technol. 31(5): 2076-2081 (2021) - [j39]Sutanu Bera, Prabir Kumar Biswas:
Noise Conscious Training of Non Local Neural Network Powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising. IEEE Trans. Medical Imaging 40(12): 3663-3673 (2021) - [c69]Aupendu Kar, Prabir Kumar Biswas:
Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network. CVPR 2021: 4957-4966 - [c68]Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas:
Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model. CVPR 2021: 16205-16215 - [c67]Arnab Poddar, Akash Chakraborty, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Detection and Localisation of Struck-Out-Strokes in Handwritten Manuscripts. ICDAR Workshops (2) 2021: 98-112 - [c66]Sutanu Bera, Prabir Kumar Biswas:
Iterative gradient encoding network using feature co-occurrence loss for single image reflection removal. ICVGIP 2021: 2:1-2:8 - [c65]Suresh Nehra, Tamal Das, Simantini Chakraborty, Prabir K. Biswas, Jayanta Mukhopadhyay:
Disparity based depth estimation using light field camera. ICVGIP 2021: 38:1-38:9 - [c64]Arnab Poddar, Akash Chakraborty, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
TexRGAN: a deep adversarial framework for text restoration from deformed handwritten documents. ICVGIP 2021: 47:1-47:9 - [i17]Tonumoy Mukherjee, Chandrani Singh, Prabir Kumar Biswas:
A Novel Approach for Earthquake Early Warning System Design using Deep Learning Techniques. CoRR abs/2101.06517 (2021) - [i16]Sutanu Bera, Prabir Kumar Biswas:
Iterative Gradient Encoding Network with Feature Co-Occurrence Loss for Single Image Reflection Removal. CoRR abs/2103.15903 (2021) - 2020
- [j38]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Spatiotemporal deep networks for detecting abnormality in videos. Multim. Tools Appl. 79(15-16): 11237-11268 (2020) - [c63]Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. CVPR 2020: 13693-13702 - [c62]Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation Under Extreme Low Annotation: A Gan Based Semi-Supervised Approach. ICIP 2020: 418-422 - [c61]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data. ICIP 2020: 1351-1355 - [i15]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data. CoRR abs/2002.09048 (2020) - [i14]Avisek Lahiri, Sourav Bairagya, Sutanu Bera, Siddhant Haldar, Prabir Kumar Biswas:
Lightweight Modules for Efficient Deep Learning based Image Restoration. CoRR abs/2007.05835 (2020) - [i13]Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas:
Transmission Map and Atmospheric Light Guided Iterative Updater Network for Single Image Dehazing. CoRR abs/2008.01701 (2020) - [i12]Sutanu Bera, Prabir Kumar Biswas:
Noise Conscious Training of Non Local Neural Network powered by Self Attentive Spectral Normalized Markovian Patch GAN for Low Dose CT Denoising. CoRR abs/2011.05684 (2020)
2010 – 2019
- 2019
- [c60]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. ICIP 2019: 2706-2710 - [c59]Shashaank M. Aswatha, Rajeswari Mahapatra, Jayanta Mukhopadhyay, Prabir Kumar Biswas, Subhas Aikat, Arundhati Misra:
Unsupervised Categorization of Forest-Cover Using Multi-Spectral and Hybrid Polarimetric Sar Images. IGARSS 2019: 2603-2606 - [c58]Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. WACV 2019: 1807-1815 - [i11]Aupendu Kar, Prabir Kumar Biswas:
Fast Bayesian Uncertainty Estimation of Batch Normalized Single Image Super-Resolution Network. CoRR abs/1903.09410 (2019) - [i10]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Faster Unsupervised Semantic Inpainting: A GAN Based Approach. CoRR abs/1908.04968 (2019) - [i9]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas:
The Angel is in the Priors: Improving GAN based Image and Sequence Inpainting with Better Noise and Structural Priors. CoRR abs/1908.05861 (2019) - 2018
- [j37]N. Patil, Prabir Kumar Biswas:
Global abnormal events detection in crowded scenes using context location and motion-rich spatio-temporal volumes. IET Image Process. 12(4): 596-604 (2018) - [j36]Pradipta Roy, Prabir Kumar Biswas:
A parallel LEGION algorithm and cell-based architecture for real time split and merge video segmentation. J. Real Time Image Process. 15(2): 363-387 (2018) - [j35]Harshalatha Y, Prabir Kumar Biswas:
SSIM-based joint-bit allocation for 3D video coding. Multim. Tools Appl. 77(15): 19051-19069 (2018) - [j34]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
Forward Stagewise Additive Model for Collaborative Multiview Boosting. IEEE Trans. Neural Networks Learn. Syst. 29(2): 470-485 (2018) - [c57]Y. Harshalatha, Prabir Kumar Biswas:
Joint Bit Allocation for 3D Video with Nonlinear Depth Distortion - An SSIM-Based Approach. CVIP (2) 2018: 139-147 - [c56]Manoj Kumar Sharma, Debdoot Sheet, Prabir Kumar Biswas:
Image Embedding for Detecting Irregularity. CVIP (2) 2018: 243-255 - [c55]Arnab Poddar, Rohan Mukherjee, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
MultiDIAS: A Hierarchical Multi-layered Document Image Annotation System. DAR@ICVGIP 2018: 3-14 - [c54]Shashaank M. Aswatha, Vishnu Saini, Jayanta Mukherjee, Prabir K. Biswas, Subhas Aikat, Arundhati Misra:
Unsupervised Detection of Surface Mine Sites using Sentinel Multi-spectral Imagery and Dual-polarimetric SAR Data. ICVGIP 2018: 52:1-52:8 - [c53]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. ICVGIP 2018: 69:1-69:9 - [i8]Avisek Lahiri, Vineet Jain, Arnab Mondal, Prabir Kumar Biswas:
Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach. CoRR abs/1809.01348 (2018) - [i7]Avisek Lahiri, Charan Reddy, Prabir Kumar Biswas:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors from Images. CoRR abs/1810.02074 (2018) - [i6]Avisek Lahiri, Abhinav Agarwalla, Prabir Kumar Biswas:
Unsupervised Domain Adaptation for Learning Eye Gaze from a Million Synthetic Images: An Adversarial Approach. CoRR abs/1810.07926 (2018) - [i5]Avisek Lahiri, Arnav Kumar Jain, Divyasri Nadendla, Prabir Kumar Biswas:
Improved Techniques for GAN based Facial Inpainting. CoRR abs/1810.08774 (2018) - 2017
- [j33]Shashaank M. Aswatha, Jayanta Mukherjee, Prabir K. Biswas, Subhas Aikat:
Toward Automated Land Cover Classification in Landsat Images Using Spectral Slopes at Different Bands. IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens. 10(3): 1096-1104 (2017) - [j32]Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas:
Hybrid Domain Analysis of Noise-Aided Contrast Enhancement Using Stochastic Resonance. J. Signal Process. Syst. 89(2): 243-262 (2017) - [c52]Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra:
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. CVPR Workshops 2017: 794-800 - [c51]Shashaank M. Aswatha, Jayanta Mukhopadhyay, Prabir K. Biswas:
Semi-supervised Classification of Land Cover in Multi-spectral Images Using Spectral Slopes. ICAPR 2017: 1-6 - [c50]Biswajit Paria, Avisek Lahiri, Prabir Kumar Biswas:
PolicyGAN: Training generative adversarial networks using policy gradient. ICAPR 2017: 1-6 - [c49]N. Patil, Prabir Kumar Biswas:
Location Aware Hierarchical Cell-Based Anomaly Detection and Categorization in Crowded Scenes. ICAPR 2017: 1-6 - [c48]N. Patil, Prabir Kumar Biswas:
Video Anomaly Detection and Localization using 3D SL-HOF Descriptor. ICAPR 2017: 1-6 - [c47]Pradipta Roy, Prabir Kumar Biswas, Binoy Kumar Das:
A simple and robust edge detection scheme based on coupled oscillatory diffusion system. DSP 2017: 1-5 - [c46]N. Patil, Prabir Kumar Biswas:
Detection of global abnormal events in crowded scenes. NCC 2017: 1-6 - [c45]Harshalatha Y, Prabir Kumar Biswas:
SSIM-Based Joint Bit-Allocation Using Frame Model Parameters for 3D Video Coding. NCVPRIPG 2017: 45-53 - [c44]Shashaank M. Aswatha, Jayanta Mukhopadhyay, Prabir K. Biswas, Subhas Aikat:
Homomorphic Incremental Directional Averaging for Noise Suppression in SAR Images. NCVPRIPG 2017: 293-302 - [i4]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR abs/1711.06106 (2017) - 2016
- [j31]Manish Okade, Prabir Kumar Biswas:
A novel moving object segmentation framework utilizing camera motion recognition for H.264 compressed videos. J. Vis. Commun. Image Represent. 36: 199-212 (2016) - [j30]Manish Okade, Gaurav Patel, Prabir Kumar Biswas:
Robust Learning-Based Camera Motion Characterization Scheme With Applications to Video Stabilization. IEEE Trans. Circuits Syst. Video Technol. 26(3): 453-466 (2016) - [j29]Soumendu Kumar Ghosh, Maroju Suman, Raja Datta, Prabir Kumar Biswas:
CEEDS: A Cost Effective Event Detection System for Energy Efficient Railway Bridge Monitoring with Wireless Sensor Network. EAI Endorsed Trans. Ubiquitous Environ. 3(8): e3 (2016) - [c43]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep neural ensemble for retinal vessel segmentation in fundus images towards achieving label-free angiography. EMBC 2016: 1340-1343 - [c42]Shashaank M. Aswatha, Jayanta Mukhopadhyay, Prabir K. Biswas:
Spectral slopes for automated classification of land cover in landsat images. ICIP 2016: 4354-4358 - [c41]Harshalatha Y, Prabir Kumar Biswas:
Rate distortion optimization using SSIM for 3D video coding. ICPR 2016: 1261-1266 - [c40]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
COMA-boost: co-operative multi agent AdaBoost. ICVGIP 2016: 43:1-43:8 - [c39]Manoj Kumar Sharma, Sayan Sarcar, Debdoot Sheet, Prabir Kumar Biswas:
Limitations with measuring performance of techniques for abnormality localization in surveillance video and how to overcome them? ICVGIP 2016: 75:1-75:8 - [c38]N. Patil, Prabir Kumar Biswas:
A survey of video datasets for anomaly detection in automated surveillance. ISED 2016: 43-48 - [c37]N. Patil, Prabir Kumar Biswas:
Global abnormal events detection in surveillance video - A hierarchical approach. ISED 2016: 217-222 - [c36]Pradipta Roy, Prabir K. Biswas, Binoy Kumar Das:
A Modified Hill Climbing Based Watershed Algorithm and Its Real Time FPGA Implementation. VLSID 2016: 451-456 - [i3]Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas:
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR abs/1605.01101 (2016) - [i2]Avisek Lahiri, Biswajit Paria, Prabir Kumar Biswas:
Forward Stagewise Additive Model for Collaborative Multiview Boosting. CoRR abs/1608.01874 (2016) - [i1]Avisek Lahiri, Abhijit Guha Roy, Debdoot Sheet, Prabir Kumar Biswas:
Deep Neural Ensemble for Retinal Vessel Segmentation in Fundus Images towards Achieving Label-free Angiography. CoRR abs/1609.05871 (2016) - 2015
- [j28]Rajlaxmi Chouhan, Prabir Kumar Biswas, Rajib Kumar Jha:
Enhancement of low-contrast images by internal noise-induced Fourier coefficient rooting. Signal Image Video Process. 9(Supplement-1): 255-263 (2015) - [c35]Avisek Lahiri, Prabir Kumar Biswas:
A scalable model for knowledge sharing based supervised learning using AdaBoost. ICAPR 2015: 1-6 - [c34]Rajlaxmi Chouhan, Prabir Kumar Biswas:
Noise-aided dynamic range compression using selective processing in a statistics-dependent stochastic resonance model. VCIP 2015: 1-4 - 2014
- [j27]Manish Okade, Prabir Kumar Biswas:
Video stabilization using maximally stable extremal region features. Multim. Tools Appl. 68(3): 947-968 (2014) - [c33]Soumendu Kumar Ghosh, Maroju Suman, Raja Datta, Prabir Kumar Biswas:
Power efficient event detection scheme in wireless sensor networks for railway bridge health monitoring system. IEEE ANTS 2014: 1-6 - [c32]Avisek Lahiri, Prabir Kumar Biswas:
A New Framework for Multiclass Classification Using Multiview Assisted Adaptive Boosting. ACCV (3) 2014: 128-143 - [c31]Somnath Dutta, Sumandeep Banerjee, Prabir K. Biswas, Partha Bhowmick:
Mesh Denoising Using Multi-scale Curvature-Based Saliency. ACCV Workshops (2) 2014: 507-516 - [c30]Rajlaxmi Chouhan, Prabir Kumar Biswas:
Image enhancement and dynamic range compression using novel intensity-specific stochastic resonance-based parametric image enhancement model. ICIP 2014: 4532-4536 - [c29]Avisek Lahiri, Prabir K. Biswas:
Knowledge Sharing and Cooperation Based Adaptive Boosting for Robust Eye Detection. ICVGIP 2014: 13:1-13:8 - 2013
- [j26]Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas:
Enhancement of dark and low-contrast images using dynamic stochastic resonance. IET Image Process. 7(2): 174-184 (2013) - [j25]Rajib Kumar Jha, Prabir Kumar Biswas, B. N. Chatterji:
Logo Extraction using Combined discrete Wavelet Transform and Dynamic Stochastic Resonance. Int. J. Image Graph. 13(1) (2013) - [j24]Rajib Kumar Jha, Prabir Kumar Biswas, S. Shrivastava:
Logo extraction using dynamic stochastic resonance. Signal Image Video Process. 7(1): 119-128 (2013) - [c28]Sumandeep Banerjee, Somnath Dutta, Prabir Kumar Biswas, Partha Bhowmick:
A low-cost portable 3D laser scanning system with aptness from acquisition to visualization. Digital Heritage (1) 2013: 185-188 - [c27]Kapinaiah Viswanath, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Image deblocking by transcoding DCT blocks to wavelet subbands. ISPA 2013: 251-256 - [c26]Chanukya Krishna Chama, Sudipta Mukhopadhyay, Prabir Kumar Biswas, Ashis Kumar Dhara, Mahendra Kasuvinahally Madaiah, Niranjan Khandelwal:
Automated lung field segmentation in CT images using mean shift clustering and geometrical features. Medical Imaging: Computer-Aided Diagnosis 2013: 867032 - [c25]Sumandeep Banerjee, Somnath Dutta, Prabir Kumar Biswas, Partha Bhowmick:
Parallel mesh regularization and resampling algorithm for improved mesh registration. NCVPRIPG 2013: 1-4 - [c24]Somnath Dutta, Sumandeep Banerjee, Prabir Kumar Biswas, Partha Bhowmick:
Mesh denoising by improved 3D geometric bilateral filter. NCVPRIPG 2013: 1-4 - [c23]Manish Okade, Prabir Kumar Biswas:
Mean shift clustering based outlier removal for global motion estimation. NCVPRIPG 2013: 1-4 - 2012
- [j23]Mangalathu Jibukumar, Raja Datta, Prabir Kumar Biswas:
Busy tone contention protocol: a new high-throughput and energy-efficient wireless local area network medium access control protocol using busy tone. Int. J. Commun. Syst. 25(8): 991-1014 (2012) - [j22]Rajib Kumar Jha, Prabir Kumar Biswas, Bhupendra Gupta, Deepak Mishra:
Suprathreshold stochastic resonance and maximizing network for watermark detection. J. Electronic Imaging 21(1): 013001 (2012) - [j21]Kapinaiah Viswanath, Jayanta Mukherjee, Prabir Kumar Biswas:
Block DCT to wavelet transcoding in transform domain. Signal Image Video Process. 6(2): 179-195 (2012) - [c22]Rajib Kumar Jha, Rajlaxmi Chouhan, Prabir Kumar Biswas, Kiyoharu Aizawa:
Internal noise-induced contrast enhancement of dark images. ICIP 2012: 973-976 - [c21]Manish Okade, Prabir Kumar Biswas:
Fast Video Stabilization in the Compressed Domain. ICME 2012: 1015-1020 - [c20]Pradipta Roy, Prabir Kumar Biswas, Binoy Kumar Das:
VLSI architecture for real time edge detection of monochrome video sequences. ICVGIP 2012: 69 - [c19]Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas:
Wavelet-based contrast enhancement of dark images using dynamic stochastic resonance. ICVGIP 2012: 73 - [c18]Rajlaxmi Chouhan, Rajib Kumar Jha, Prabir Kumar Biswas:
Image denoising using dynamic stochastic resonance in wavelet domain. ISDA 2012: 58-63 - [c17]Manish Okade, Prabir Kumar Biswas:
Fast camera motion estimation using discrete wavelet transform on block motion vectors. PCS 2012: 333-336 - 2011
- [j20]Mangalathu Jibukumar, Raja Datta, Prabir K. Biswas:
Packet loss-ratio based scheduler: an adaptive scheduling scheme to increase the number of multimedia applications in WLAN. Int. J. Ultra Wideband Commun. Syst. 2(1): 34-43 (2011) - [j19]Kapinaiah Viswanath, Jayanta Mukherjee, Prabir Kumar Biswas:
Image filtering in the block DCT domain using symmetric convolution. J. Vis. Commun. Image Represent. 22(2): 141-152 (2011) - 2010
- [j18]Kapinaiah Viswanath, Jayanta Mukherjee, Prabir Kumar Biswas, R. N. Pal:
Wavelet to DCT transcoding in transform domain. Signal Image Video Process. 4(2): 129-144 (2010) - [j17]Mangalathu Jibukumar, Raja Datta, Prabir K. Biswas:
CoopMACA: a cooperative MAC protocol using packet aggregation. Wirel. Networks 16(7): 1865-1883 (2010) - [c16]Mangalathu Jibukumar, Raja Datta, Prabir K. Biswas:
New packet aggregation schemes for multimedia applications in WLAN. NOMS 2010: 424-431
2000 – 2009
- 2009
- [j16]Abhijeet V. Nandedkar, Prabir K. Biswas:
A Granular Reflex Fuzzy Min-Max Neural Network for Classification. IEEE Trans. Neural Networks 20(7): 1117-1134 (2009) - [c15]Kapinaiah Viswanath, Jayanta Mukhopadhyay, Prabir Kumar Biswas:
Transcoding in the block DCT space. ICIP 2009: 3685-3688 - 2008
- [c14]Pradipta Roy, Prabir Kumar Biswas:
VLSI Implementation of Fast Connected Component Labeling Using Finite State Machine Based Cell Network. ICVGIP 2008: 238-243 - [c13]M. G. Jibukumar, Raja Datta, Prabir Kumar Biswas:
Kalman filter based Variable Bit Rate video frame size prediction. ISWPC 2008: 459-463 - [c12]Pravinkumar S. Revankar, Prabir Kumar Biswas, Sonali N. Deshpande:
Efficient Object Recognition Using Parametric Eigenspace under Influence of Noise and Occlusion. SNPD 2008: 494-500 - 2007
- [j15]Abhijeet V. Nandedkar, Prabir Kumar Biswas:
A General Reflex Fuzzy Min-Max Neural Network. Eng. Lett. 14(1): 195-205 (2007) - [j14]Manesh Kokare, Prabir K. Biswas, B. N. Chatterji:
Texture image retrieval using rotated wavelet filters. Pattern Recognit. Lett. 28(10): 1240-1249 (2007) - [j13]Abhijeet V. Nandedkar, Prabir K. Biswas:
A Fuzzy Min-Max Neural Network Classifier With Compensatory Neuron Architecture. IEEE Trans. Neural Networks 18(1): 42-54 (2007) - [c11]Abhijeet V. Nandedkar, Prabir K. Biswas:
Learning from Missing Data: A Reflex Fuzzy Min-Max Neural Network Approach. IICAI 2007: 1152-1166 - 2006
- [j12]Manesh Kokare, Prabir K. Biswas, B. N. Chatterji:
Rotation-Invariant Texture Image Retrieval Using Rotated Complex Wavelet Filters. IEEE Trans. Syst. Man Cybern. Part B 36(6): 1273-1282 (2006) - [c10]Abhijeet V. Nandedkar, Prabir K. Biswas:
A Reflex Fuzzy Min Max Neural Network for Granular Data Classification. ICPR (2) 2006: 650-653 - [c9]Abhijeet V. Nandedkar, Prabir K. Biswas:
Object Recognition Using Reflex Fuzzy Min-Max Neural Network with Floating Neurons. ICVGIP 2006: 597-609 - 2005
- [j11]Manesh Kokare, Prabir K. Biswas, Biswanath N. Chatterji:
Texture image retrieval using new rotated complex wavelet filters. IEEE Trans. Syst. Man Cybern. Part B 35(6): 1168-1178 (2005) - [c8]Abhijeet V. Nandedkar, Prabir K. Biswas:
A Reflex Fuzzy Min Max Neural Network for Classification and Clustering. IICAI 2005: 2243-2255 - [c7]Abhijeet V. Nandedkar, Prabir K. Biswas:
A General Fuzzy Min Max Neural Network with Compensatory Neuron Architecture. KES (3) 2005: 1160-1167 - 2004
- [j10]Manesh Kokare, Biswanath N. Chatterji, Prabir K. Biswas:
Cosine-modulated wavelet based texture features for content-based image retrieval. Pattern Recognit. Lett. 25(4): 391-398 (2004) - [c6]Manesh Kokare, Prabir K. Biswas, Biswanath N. Chatterji:
Rotation invariant texture features using rotated complex wavelet for content based image retrieval. ICIP 2004: 393-396 - [c5]Abhijeet V. Nandedkar, Prabir K. Biswas:
A Fuzzy Min-Max Neural Network Classifier with Compensatory Neuron Architecture. ICPR (4) 2004: 553-556 - [c4]Manesh Kokare, Prabir K. Biswas, Biswanath N. Chatterji:
Rotated Complex Wavelet based Texture Features for Content Based Image Retrieval. ICPR (1) 2004: 652-655 - 2003
- [j9]Ramchandra Manthalkar, Prabir K. Biswas, Biswanath N. Chatterji:
Rotation invariant texture classification using even symmetric Gabor filters. Pattern Recognit. Lett. 24(12): 2061-2068 (2003) - [j8]Ramchandra Manthalkar, Prabir K. Biswas, Biswanath N. Chatterji:
Rotation and scale invariant texture features using discrete wavelet packet transform. Pattern Recognit. Lett. 24(14): 2455-2462 (2003) - 2002
- [c3]Manesh Kokare, Biswanath N. Chatterji, Prabir Kumar Biswas:
Dimensionality reduction of tree structured wavelet transform texture features for content based image retrieval. ICARCV 2002: 1647-1652 - [c2]Manesh Kokare, Biswanath N. Chatterji, Prabir K. Biswas:
M-Band Wavelet Based Texture Features for Content Based Image Retrieval. ICVGIP 2002 - [c1]Ramchandra Manthalkar, Prabir K. Biswas, Biswanath N. Chatterji:
Rotation Invariant Color Texture Classification in Perceptually Uniform Color Spaces. ICVGIP 2002 - 2000
- [j7]C. V. Jawahar, Prabir K. Biswas, A. K. Ray:
Analysis of fuzzy thresholding schemes. Pattern Recognit. 33(8): 1339-1349 (2000)
1990 – 1999
- 1998
- [j6]Manoj Kumar Biswas, Tirthankar Ghose, Sudipta Guha, Prabir Kumar Biswas:
Fractal dimension estimation for texture images: A parallel approach. Pattern Recognit. Lett. 19(3-4): 309-313 (1998) - 1997
- [j5]C. V. Jawahar, Prabir K. Biswas, A. K. Ray:
Investigations on fuzzy thresholding based on fuzzy clustering. Pattern Recognit. 30(10): 1605-1613 (1997) - 1995
- [j4]Prabir Kumar Biswas, S. S. Biswas, Biswanath N. Chatterji:
An SIMD algorithm for range image segmentation. Pattern Recognit. 28(2): 255-267 (1995) - [j3]C. V. Jawahar, Prabir K. Biswas, A. K. Ray:
Detection of clusters of distinct geometry: A step towards generalised fuzzy clustering. Pattern Recognit. Lett. 16(11): 1119-1123 (1995) - 1993
- [j2]Prabir Kumar Biswas, Jayanta Mukherjee, Biswanath N. Chatterji:
Component labeling in pyramid architecture. Pattern Recognit. 26(7): 1099-1115 (1993) - 1992
- [j1]Prabir K. Biswas, Jayanta Mukherjee, B. N. Chatterji, Partha Pratim Chakrabarti:
Qualitative Description of Three-Dimensional Scenes. Int. J. Pattern Recognit. Artif. Intell. 6(4): 651-672 (1992)
Coauthor Index
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