Subhashis Banerjee

ORCID

Publication Activity (10 Years)

Years Active: 1992-2024
Publications (10 Years): 51

Top Venues

CoRR

WACV

ICIP

IACR Cryptol. ePrint Arch.

Publications

Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
Publicly auditable privacy-preserving electoral rolls. CoRR (2024)
Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara
ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. SN Comput. Sci. 5 (1) (2024)
Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
Traceable mixnets. Proc. Priv. Enhancing Technol. 2024 (2) (2024)
Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
Traceable mixnets. IACR Cryptol. ePrint Arch. 2023 (2023)
Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. WACV (2023)
Subhashis Banerjee, Robin Strand
Deep Active Learning for Glioblastoma Quantification. SCIA (1) (2023)
Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand
Deep curriculum learning for follow-up MRI registration in glioblastoma. Medical Imaging: Image Processing (2023)
Prashant Agrawal, Abhinav Nakarmi, Mahavir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
Traceable mixnets. CoRR (2023)
Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
OpenVoting: Recoverability from Failures in Dual Voting. IACR Cryptol. ePrint Arch. 2023 (2023)
Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara
3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. PReMI (2023)
Subhashis Banerjee, Robin Strand
Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. Medical Imaging: Image Processing (2023)
Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora
From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. CoRR (2022)
Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee
Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR (2022)
Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
Ballot stuffing and participation privacy in pollsite voting. CoRR (2022)
Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV (2022)
Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Ashish Suri, Subhashis Banerjee, Chetan Arora
Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. ICIP (2022)
Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. ISBI (2022)
Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. CoRR (2021)
Raghav Mehta, Angelos Filos, Ujjwal Baid, Chiharu Sako, Richard McKinley, Michael Rebsamen, Katrin Dätwyler, Raphael Meier, Piotr Radojewski, Gowtham Krishnan Murugesan, Sahil S. Nalawade, Chandan Ganesh, Benjamin C. Wagner, Fang F. Yu, Baowei Fei, Ananth J. Madhuranthakam, Joseph A. Maldjian, Laura Alexandra Daza, Catalina Gómez, Pablo Arbeláez, Chengliang Dai, Shuo Wang, Hadrien Raynaud, Yuanhan Mo, Elsa D. Angelini, Yike Guo, Wenjia Bai, Subhashis Banerjee, Linmin Pei, Murat AK, Sarahi Rosas-González, Ilyess Zemmoura, Clovis Tauber, Minh H. Vu, Tufve Nyholm, Tommy Löfstedt, Laura Mora Ballestar, Verónica Vilaplana, Hugh McHugh, Gonzalo D. Maso Talou, Alan Wang, Jay B. Patel, Ken Chang, Katharina Hoebel, Mishka Gidwani, Nishanth Thumbavanam Arun, Sharut Gupta, Mehak Aggarwal, Praveer Singh, Elizabeth R. Gerstner, Jayashree Kalpathy-Cramer, Nicolas Boutry, Alexis Huard, Lasitha Vidyaratne, Md Monibor Rahman, Khan M. Iftekharuddin, Joseph Chazalon, Élodie Puybareau, Guillaume Tochon, Jun Ma, Mariano Cabezas, Xavier Lladó, Arnau Oliver, Liliana Valencia, Sergi Valverde, Mehdi Amian, Mohammadreza Soltaninejad, Andriy Myronenko, Ali Hatamizadeh, Xue Feng, Quan Dou, Nicholas J. Tustison, Craig Meyer, Nisarg A. Shah, Sanjay Talbar, Marc-André Weber, Abhishek Mahajan, András Jakab, Roland Wiest, Hassan M. Fathallah-Shaykh, Arash Nazeri, Mikhail Milchenko, Daniel S. Marcus, Aikaterini Kotrotsou, Rivka Colen, John B. Freymann, Justin S. Kirby, Christos Davatzikos, Bjoern H. Menze, Spyridon Bakas, Yarin Gal, Tal Arbel
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR (2021)
Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay Namboodiri, Subhashis Banerjee, Chetan Arora
CovidAID: COVID-19 Detection Using Chest X-Ray. CoRR (2020)
Subhashis Banerjee, Sushmita Mitra
Novel Volumetric Sub-region Segmentation in Brain Tumors. Frontiers Comput. Neurosci. 14 (2020)
Subhashis Banerjee, Sushmita Mitra
Evolving Optimal Convolutional Neural Networks. SSCI (2020)
Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR (2020)
Mousumi Sardar, Subhashis Banerjee, Sushmita Mitra
Iris Segmentation Using Interactive Deep Learning. IEEE Access 8 (2020)
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
Glioma Classification Using Deep Radiomics. SN Comput. Sci. 1 (4) (2020)
Prashant Agrawal, Anubhutie Singh, Malavika Raghavan, Subodh Sharma, Subhashis Banerjee
An operational architecture for privacy-by-design in public service applications. CoRR (2020)
Saumya Bhadani, Sushmita Mitra, Subhashis Banerjee
Fuzzy volumetric delineation of brain tumor and survival prediction. Soft Comput. 24 (17) (2020)
Subhashis Banerjee, Ashis Kumar Dhara, Johan Wikström, Robin Strand
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. ICPR (2020)
Subhashis Banerjee, Subodh Sharma
Privacy concerns with Aadhaar. Commun. ACM 62 (11) (2019)
Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee
EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. WACV (2019)
Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee
A universally verifiable, software independent, bare-handed voting protocol. CoRR (2019)
Subhashis Banerjee, Harkirat Singh Arora, Sushmita Mitra
Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction. BrainLes@MICCAI (2) (2019)
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI. CoRR (2019)
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Automated 3D segmentation of brain tumor using visual saliency. Inf. Sci. 424 (2018)
Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora
A Joint 3D-2D Based Method for Free Space Detection on Roads. WACV (2018)
Subhashis Banerjee, Sushmita Mitra, Anmol Sharma, B. Uma Shankar
A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks. CoRR (2018)
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer. BrainLes@MICCAI (2) (2018)
Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets. BrainLes@MICCAI (1) (2018)
Spyridon Bakas, Mauricio Reyes, András Jakab, Stefan Bauer, Markus Rempfler, Alessandro Crimi, Russell Takeshi Shinohara, Christoph Berger, Sung Min Ha, Martin Rozycki, Marcel Prastawa, Esther Alberts, Jana Lipková, John B. Freymann, Justin S. Kirby, Michel Bilello, Hassan M. Fathallah-Shaykh, Roland Wiest, Jan Kirschke, Benedikt Wiestler, Rivka R. Colen, Aikaterini Kotrotsou, Pamela LaMontagne, Daniel S. Marcus, Mikhail Milchenko, Arash Nazeri, Marc-André Weber, Abhishek Mahajan, Ujjwal Baid, Dongjin Kwon, Manu Agarwal, Mahbubul Alam, Alberto Albiol, Antonio Albiol, Alex Varghese, Tran Anh Tuan, Tal Arbel, Aaron Avery, Pranjal B., Subhashis Banerjee, Thomas Batchelder, Kayhan N. Batmanghelich, Enzo Battistella, Martin Bendszus, Eze Benson, José Bernal, George Biros, Mariano Cabezas, Siddhartha Chandra, Yi-Ju Chang, et al.
Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR (2018)
Subhashis Banerjee
Authorisation and access control architecture as a framework for data and privacy protection. CoRR (2018)
Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee
Divide and conquer: A hierarchical approach to large-scale structure-from-motion. Comput. Vis. Image Underst. 157 (2017)
Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee
A Joint 3D-2D based Method for Free Space Detection on Roads. CoRR (2017)
Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora, Subhashis Banerjee
Computing Egomotion with Local Loop Closures for Egocentric Videos. CoRR (2017)
Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee
Deep CNN with color lines model for unmarked road segmentation. ICIP (2017)
Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora
Computing Egomotion with Local Loop Closures for Egocentric Videos. WACV (2017)
Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee
Batch based Monocular SLAM for Egocentric Videos. CoRR (2017)
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Synergetic neuro-fuzzy feature selection and classification of brain tumors. FUZZ-IEEE (2017)
Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma, Sourabh Bikash Paul, Subhashis Banerjee
On monitoring development using high resolution satellite images. CoRR (2017)
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding. CVIP (1) (2016)
Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
Single seed delineation of brain tumor using multi-thresholding. Inf. Sci. 330 (2016)
Britty Baby, Vinkle Kumar Srivastav, Ramandeep Singh, Ashish Suri, Subhashis Banerjee
Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker. ICACCI (2016)
Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari
Generalized Flows for Optimal Inference in Higher Order MRF-MAP. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee
Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning. ACCV (2) (2014)
Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari
Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. CVPR (2014)
Subhashis Banerjee, Mousumi Sardar, Koushik Majumder
AODV Based Black-Hole Attack Mitigation in MANET. FICTA (2013)
Ayesha Choudhary, Tanveer A. Faruquie, Subhashis Banerjee, Santanu Chaudhury
Discovering Activities and Their Temporal Significance. AVSS (2012)
Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra
Unsupervised Discovery of Activities and Their Temporal Behaviour. AVSS (2012)
Suvam Patra, Brojeshwar Bhowmick, Subhashis Banerjee, Prem Kalra
High Resolution Point Cloud Generation from Kinect and HD Cameras using Graph Cut. VISAPP (2) (2012)
Debajit Sensarma, Subhashis Banerjee, Krishnendu Basuli, Saptarshi Naskar, Samar Sen-Sarma
On an optimization technique using Binary Decision Diagram CoRR (2012)
Dakshita Khurana, Surabhi Sankhla, Abhinav Shukla, Richa Varshney, Prem Kalra, Subhashis Banerjee
A grammar-based GUI for single view reconstruction. ICVGIP (2012)
Subhashis Banerjee, Koushik Majumder
A Comparative Study on Wormhole Attack Prevention Schemes in Mobile Ad-Hoc Network. SNDS (2012)
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari
Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. ECCV (5) (2012)
Subhashis Banerjee, Koushik Majumder
A Survey of Blackhole Attacks and Countermeasures in Wireless Mobile Ad-hoc Networks. SNDS (2012)
Tanveer A. Faruquie, Subhashis Banerjee, Prem Kalra
Latent topic model-based group activity discovery. Vis. Comput. 27 (12) (2011)
Abhishek Gupta, Jatin Kumar, Daniel J. Mathew, Sorav Bansal, Subhashis Banerjee, Huzur Saran
Design and Implementation of the Workflow of an Academic Cloud. DNIS (2011)
Uma Mudenagudi, Subhashis Banerjee, Prem Kumar Kalra
Space-Time Super-Resolution Using Graph-Cut Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 33 (5) (2011)
Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari
An Efficient Graph Cut Algorithm for Computer Vision Problems. ECCV (3) (2010)
Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
Distributed framework for composite event recognition in a calibrated pan-tilt camera network. ICVGIP (2010)
Ayesha Choudhary, Gaurav Sharma, Santanu Chaudhury, Subhashis Banerjee
Distributed calibration of pan-tilt camera network using multi-layered belief propagation. CVPR Workshops (2010)
Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra
Unsupervised discovery of activity correlations using latent topic models. ICVGIP (2010)
Tanveer A. Faruquie, Prem Kumar Kalra, Subhashis Banerjee
Time based Activity Inference using Latent Dirichlet Allocation. BMVC (2009)
Ayesha Choudhary, Manish Pal, Subhashis Banerjee, Santanu Chaudhury
Unusual Activity Analysis Using Video Epitomes and pLSA. ICVGIP (2008)
Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
A Framework for Analysis of Surveillance Videos. ICVGIP (2008)
Uma Mudenagudi, Subhashis Banerjee, Prem Kalra
On Improving Space-Time Super Resolution Using a Small Set of Video Inputs. ICVGIP (2008)
Uma Mudenagudi, Ankit Gupta, Lakshya Goel, Avanish Kushal, Prem Kalra, Subhashis Banerjee
Super Resolution of Images of 3D Scenecs. ACCV (2) (2007)
Subhajit Sanyal, Subhashis Banerjee, Prem Kumar Kalra
Designing quality walkthroughs. Comput. Animat. Virtual Worlds 18 (4-5) (2007)
Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
Unusual Activity Analysis in Video Sequences. RSFDGrC (2007)
Parag Chaudhuri, Prem Kalra, Subhashis Banerjee
Reusing view-dependent animation. Vis. Comput. 23 (9-11) (2007)
Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subhashis Banerjee
Super Resolution Using Graph-Cut. ACCV (2) (2006)
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
Recognizing large isolated 3-D objects through next view planning using inner camera invariants. IEEE Trans. Syst. Man Cybern. Part B 35 (2) (2005)
Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee
SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). FPGA (2005)
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
Active recognition through next view planning: a survey. Pattern Recognit. 37 (3) (2004)
Parag Chaudhuri, Prem Kalra, Subhashis Banerjee
A System for View-Dependent Animation. Comput. Graph. Forum 23 (3) (2004)
Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra
An uncalibrated lightfield acquisition system. Image Vis. Comput. 22 (14) (2004)
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee
A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP (2004)
Namita Gupta, Pooja Mittal, Kaustubh Patwardhan, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
On line predictive appearance-based tracking. ICIP (2004)
Parag Chaudhuri, Ashwani Jindal, Prem Kalra, Subhashis Banerjee
Stylistic Reuse of View-Dependent Animations. ICVGIP (2004)
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
On Learning Shapes from Shades. ICVGIP (2004)
Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
Modeling of Free-Form Surfaces and Shape From Shading. 3DPVT (2004)
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
Aspect graph construction with noisy feature detectors. IEEE Trans. Syst. Man Cybern. Part B 33 (2) (2003)
Akash M. Kushal, Gaurav Chanda, Kanishka Shrivastava, Mohit Gupta, Subhajit Sanyal, T. V. N. Sriram, Prem Kalra, Subhashis Banerjee
Multilevel modelling and rendering of architectural scenes. Eurographics (Short Presentations) (2003)
Aditya Ramamoorthy, Namrata Vaswani, Santanu Chaudhury, Subhashis Banerjee
Recognition of dynamic hand gestures. Pattern Recognit. 36 (9) (2003)
Namita Gupta, Pooja Mittal, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
CONDENSATION-Based Predictive EigenTracking. ICVGIP (2002)
R. J. Kate, Prem Kumar Kalra, Subhashis Banerjee
Towards an Automatic Approach for View-Dependent Geometry. Int. J. Image Graph. 2 (3) (2002)
Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra
An Uncalibrated Lightfield Acquisition System. ICVGIP (2002)
Akash Kushal, Vikas Bansal, Subhashis Banerjee
A Simple Method for Interactive 3D Reconstruction, Camera Calibration from a Single View. ICVGIP (2002)
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera. ICCV (2001)
Shoma Chatterjee, Subhashis Banerjee, K. K. Biswas
Reconstruction of Local Features for Facial Video Compression. ICIP (2000)
Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
Isolated 3D object recognition through next view planning. IEEE Trans. Syst. Man Cybern. Part A 30 (1) (2000)
Navin Rajpal, Santanu Chaudhury, Subhashis Banerjee
Recognition of partially occluded objects using neural network based indexing. Pattern Recognit. 32 (10) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Subhashis Banerjee