Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis. - Subhashis Banerjee; P. S. Sastry 001; Y. V. Venkatesh (ICPR (1), 1992)

A cooperative integration of stereopsis and optic flow computation. - G. Sudhir; Subhashis Banerjee; K. K. Biswas; R. Bahl (ICPR (1), 1994)

Object tracking using affine structure for point correspondences. - Gurmeet Singh Manku; Pankaj Jain; Amit Aggarwal; Lalit Kumar; Subhashis Banerjee (CVPR, 1997)

Finding Point Correspondences in Motion Sequences Preserving Affine Structure. - G. Sudhir; Subhashis Banerjee; Andrew Zisserman (Comput. Vis. Image Underst., 1997)

Real Time Collision Detection and Avoidance: A Case Study for Design Space Exploration in HW-SW Codesign. - Sandeep K. Lodha; Shashank Gupta; M. Balakrishnan; Subhashis Banerjee (VLSI Design, 1998)

Robot Localization using Uncalibrated Camera Invariants. - Michael Werman; MaoLin Qiu; Subhashis Banerjee; Sumantra Dutta Roy (CVPR, 1999)

Recognition of partially occluded objects using neural network based indexing. - Navin Rajpal; Santanu Chaudhury; Subhashis Banerjee (Pattern Recognit., 1999)

Reconstruction of Local Features for Facial Video Compression. - Shoma Chatterjee; Subhashis Banerjee; K. K. Biswas (ICIP, 2000)

Isolated 3D object recognition through next view planning. - Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (IEEE Trans. Syst. Man Cybern. Part A, 2000)

Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera. - Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (ICCV, 2001)

CONDENSATION-Based Predictive EigenTracking. - Namita Gupta; Pooja Mittal; Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (ICVGIP, 2002)

A Simple Method for Interactive 3D Reconstruction, Camera Calibration from a Single View. - Akash Kushal; Vikas Bansal; Subhashis Banerjee (ICVGIP, 2002)

Towards an Automatic Approach for View-Dependent Geometry. - R. J. Kate; Prem Kumar Kalra; Subhashis Banerjee (Int. J. Image Graph., 2002)

Multilevel modelling and rendering of architectural scenes. - Akash M. Kushal; Gaurav Chanda; Kanishka Shrivastava; Mohit Gupta; Subhajit Sanyal; T. V. N. Sriram; Prem Kalra; Subhashis Banerjee (Eurographics (Short Presentations), 2003)

Recognition of dynamic hand gestures. - Aditya Ramamoorthy; Namrata Vaswani; Santanu Chaudhury; Subhashis Banerjee (Pattern Recognit., 2003)

Aspect graph construction with noisy feature detectors. - Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (IEEE Trans. Syst. Man Cybern. Part B, 2003)

Modeling of Free-Form Surfaces and Shape From Shading. - Subhajit Sanyal; Mayank Bansal; Subhashis Banerjee; Prem Kumar Kalra (3DPVT, 2004)

On line predictive appearance-based tracking. - Namita Gupta; Pooja Mittal; Kaustubh Patwardhan; Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (ICIP, 2004)

Stylistic Reuse of View-Dependent Animations. - Parag Chaudhuri; Ashwani Jindal; Prem Kalra; Subhashis Banerjee (ICVGIP, 2004)

A Framework for Activity Recognition and Detection of Unusual Activities. - Dhruv Mahajan 001; Nipun Kwatra; Sumit Jain; Prem Kalra; Subhashis Banerjee (ICVGIP, 2004)

On Learning Shapes from Shades. - Subhajit Sanyal; Mayank Bansal; Subhashis Banerjee; Prem Kumar Kalra (ICVGIP, 2004)

A System for View-Dependent Animation. - Parag Chaudhuri; Prem Kalra; Subhashis Banerjee (Comput. Graph. Forum, 2004)

An uncalibrated lightfield acquisition system. - Puneet Sharma; Angshuman Parashar; Subhashis Banerjee; Prem Kumar Kalra (Image Vis. Comput., 2004)

Active recognition through next view planning: a survey. - Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (Pattern Recognit., 2004)

SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). - Ankit Mathur; Mayank Agarwal; Soumyadeb Mitra; Anup Gangwar; M. Balakrishnan; Subhashis Banerjee (FPGA, 2005)

Recognizing large isolated 3-D objects through next view planning using inner camera invariants. - Sumantra Dutta Roy; Santanu Chaudhury; Subhashis Banerjee (IEEE Trans. Syst. Man Cybern. Part B, 2005)

Super Resolution Using Graph-Cut. - Uma Mudenagudi; Ram Singla; Prem Kumar Kalra; Subhashis Banerjee (ACCV (2), 2006)

View-dependent character animation. - Parag Chaudhuri; Prem Kalra; Subhashis Banerjee (Springer, 2007)

Super Resolution of Images of 3D Scenecs. - Uma Mudenagudi; Ankit Gupta 002; Lakshya Goel; Avanish Kushal; Prem Kalra; Subhashis Banerjee (ACCV (2), 2007)

Unusual Activity Analysis in Video Sequences. - Ayesha Choudhary; Santanu Chaudhury; Subhashis Banerjee (RSFDGrC, 2007)

Designing quality walkthroughs. - Subhajit Sanyal; Subhashis Banerjee; Prem Kumar Kalra (Comput. Animat. Virtual Worlds, 2007)

Reusing view-dependent animation. - Parag Chaudhuri; Prem Kalra; Subhashis Banerjee (Vis. Comput., 2007)

A Framework for Analysis of Surveillance Videos. - Ayesha Choudhary; Santanu Chaudhury; Subhashis Banerjee (ICVGIP, 2008)

Unusual Activity Analysis Using Video Epitomes and pLSA. - Ayesha Choudhary; Manish Pal; Subhashis Banerjee; Santanu Chaudhury (ICVGIP, 2008)

On Improving Space-Time Super Resolution Using a Small Set of Video Inputs. - Uma Mudenagudi; Subhashis Banerjee; Prem Kalra (ICVGIP, 2008)

Time based Activity Inference using Latent Dirichlet Allocation. - Tanveer A. Faruquie; Prem Kumar Kalra; Subhashis Banerjee (BMVC, 2009)

Distributed calibration of pan-tilt camera network using multi-layered belief propagation. - Ayesha Choudhary; Gaurav Sharma 004; Santanu Chaudhury; Subhashis Banerjee (CVPR Workshops, 2010)

An Efficient Graph Cut Algorithm for Computer Vision Problems. - Chetan Arora 001; Subhashis Banerjee; Prem Kalra; S. N. Maheshwari (ECCV (3), 2010)

Distributed framework for composite event recognition in a calibrated pan-tilt camera network. - Ayesha Choudhary; Santanu Chaudhury; Subhashis Banerjee (ICVGIP, 2010)

Unsupervised discovery of activity correlations using latent topic models. - Tanveer A. Faruquie; Subhashis Banerjee; Prem Kumar Kalra (ICVGIP, 2010)

Design and Implementation of the Workflow of an Academic Cloud. - Abhishek Gupta; Jatin Kumar; Daniel J. Mathew; Sorav Bansal; Subhashis Banerjee; Huzur Saran (DNIS, 2011)

Space-Time Super-Resolution Using Graph-Cut Optimization. - Uma Mudenagudi; Subhashis Banerjee; Prem Kumar Kalra (IEEE Trans. Pattern Anal. Mach. Intell., 2011)

Latent topic model-based group activity discovery. - Tanveer A. Faruquie; Subhashis Banerjee; Prem Kalra (Vis. Comput., 2011)

Discovering Activities and Their Temporal Significance. - Ayesha Choudhary; Tanveer A. Faruquie; Subhashis Banerjee; Santanu Chaudhury (AVSS, 2012)

Unsupervised Discovery of Activities and Their Temporal Behaviour. - Tanveer A. Faruquie; Subhashis Banerjee; Prem Kumar Kalra (AVSS, 2012)

Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. - Chetan Arora 001; Subhashis Banerjee; Prem Kalra; S. N. Maheshwari (ECCV (5), 2012)

A grammar-based GUI for single view reconstruction. - Dakshita Khurana; Surabhi Sankhla; Abhinav Shukla; Richa Varshney; Prem Kalra; Subhashis Banerjee (ICVGIP, 2012)

A Comparative Study on Wormhole Attack Prevention Schemes in Mobile Ad-Hoc Network. - Subhashis Banerjee; Koushik Majumder (SNDS, 2012)

A Survey of Blackhole Attacks and Countermeasures in Wireless Mobile Ad-hoc Networks. - Subhashis Banerjee; Koushik Majumder (SNDS, 2012)

High Resolution Point Cloud Generation from Kinect and HD Cameras using Graph Cut. - Suvam Patra; Brojeshwar Bhowmick; Subhashis Banerjee; Prem Kalra (VISAPP (2), 2012)

On an optimization technique using Binary Decision Diagram - Debajit Sensarma; Subhashis Banerjee; Krishnendu Basuli; Saptarshi Naskar; Samar Sen-Sarma (CoRR, 2012)

Clustering for Multi-Perspective Video Analytics. - Ayesha Choudhary; Santanu Chaudhury; Subhashis Banerjee (Handbook of Soft Computing for Video Surveillance, 2012)

AODV Based Black-Hole Attack Mitigation in MANET. - Subhashis Banerjee; Mousumi Sardar; Koushik Majumder (FICTA, 2013)

Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning. - Brojeshwar Bhowmick; Suvam Patra; Avishek Chatterjee; Venu Madhav Govindu; Subhashis Banerjee (ACCV (2), 2014)

Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. - Chetan Arora 001; Subhashis Banerjee; Prem Kumar Kalra; S. N. Maheshwari (CVPR, 2014)

Generalized Flows for Optimal Inference in Higher Order MRF-MAP. - Chetan Arora 001; Subhashis Banerjee; Prem Kumar Kalra; S. N. Maheshwari (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding. - Subhashis Banerjee; Sushmita Mitra; B. Uma Shankar (CVIP (1), 2016)

Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker. - Britty Baby; Vinkle Kumar Srivastav; Ramandeep Singh; Ashish Suri; Subhashis Banerjee (ICACCI, 2016)

Single seed delineation of brain tumor using multi-thresholding. - Subhashis Banerjee; Sushmita Mitra; B. Uma Shankar (Inf. Sci., 2016)

Synergetic neuro-fuzzy feature selection and classification of brain tumors. - Subhashis Banerjee; Sushmita Mitra; B. Uma Shankar (FUZZ-IEEE, 2017)

Deep CNN with color lines model for unmarked road segmentation. - Shashank Yadav; Suvam Patra; Chetan Arora 001; Subhashis Banerjee (ICIP, 2017)

Computing Egomotion with Local Loop Closures for Egocentric Videos. - Suvam Patra; Himanshu Aggarwal; Himani Arora; Subhashis Banerjee; Chetan Arora 001 (WACV, 2017)

Batch based Monocular SLAM for Egocentric Videos. - Suvam Patra; Kartikeya Gupta; Faran Ahmad; Chetan Arora 001; Subhashis Banerjee (CoRR, 2017)

On monitoring development using high resolution satellite images. - Potnuru Kishen Suraj; Ankesh Gupta; Makkunda Sharma; Sourabh Bikash Paul; Subhashis Banerjee (CoRR, 2017)

Divide and conquer: A hierarchical approach to large-scale structure-from-motion. - Brojeshwar Bhowmick; Suvam Patra; Avishek Chatterjee; Venu Madhav Govindu; Subhashis Banerjee (Comput. Vis. Image Underst., 2017)

Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets. - Subhashis Banerjee; Sushmita Mitra; Francesco Masulli; Stefano Rovetta (BrainLes@MICCAI (1), 2018)

Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer. - Subhashis Banerjee; Sushmita Mitra; B. Uma Shankar (BrainLes@MICCAI (2), 2018)

A Joint 3D-2D Based Method for Free Space Detection on Roads. - Suvam Patra; Pranjal Maheshwari; Shashank Yadav; Subhashis Banerjee; Chetan Arora 001 (WACV, 2018)

Authorisation and access control architecture as a framework for data and privacy protection. - Subhashis Banerjee (CoRR, 2018)

A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks. - Subhashis Banerjee; Sushmita Mitra; Anmol Sharma; B. Uma Shankar (CoRR, 2018)

Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. - Spyridon Bakas; Mauricio Reyes 001; András Jakab; Stefan Bauer; Markus Rempfler; Alessandro Crimi; Russell Takeshi Shinohara; Christoph Berger; Sung Min Ha; Martin Rozycki; Marcel Prastawa; Esther Alberts; et al. (CoRR, 2018)

Automated 3D segmentation of brain tumor using visual saliency. - Subhashis Banerjee; Sushmita Mitra; B. Uma Shankar (Inf. Sci., 2018)

Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction. - Subhashis Banerjee; Harkirat Singh Arora; Sushmita Mitra (BrainLes@MICCAI (2), 2019)

EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. - Suvam Patra; Kartikeya Gupta; Faran Ahmad; Chetan Arora 001; Subhashis Banerjee (WACV, 2019)

Privacy concerns with Aadhaar. - Subhashis Banerjee; Subodh Sharma 001 (Commun. ACM, 2019)

Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI. - Subhashis Banerjee; Sushmita Mitra; Francesco Masulli; Stefano Rovetta (CoRR, 2019)

A universally verifiable, software independent, bare-handed voting protocol. - Prashant Agrawal; Kabir Tomer; Subodh Sharma 001; Subhashis Banerjee (CoRR, 2019)

Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. - Subhashis Banerjee; Ashis Kumar Dhara; Johan Wikström; Robin Strand (ICPR, 2020)

Evolving Optimal Convolutional Neural Networks. - Subhashis Banerjee; Sushmita Mitra (SSCI, 2020)

Iris Segmentation Using Interactive Deep Learning. - Mousumi Sardar; Subhashis Banerjee; Sushmita Mitra (IEEE Access, 2020)

CovidAID: COVID-19 Detection Using Chest X-Ray. - Arpan Mangal; Surya Kalia; Harish Rajgopal; Krithika Rangarajan; Vinay P. Namboodiri; Subhashis Banerjee; Chetan Arora 001 (CoRR, 2020)

An operational architecture for privacy-by-design in public service applications. - Prashant Agrawal; Anubhutie Singh; Malavika Raghavan; Subodh Sharma 001; Subhashis Banerjee (CoRR, 2020)

Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. - Lokender Tiwari; Anish Madan; Saket Anand; Subhashis Banerjee (CoRR, 2020)

Novel Volumetric Sub-region Segmentation in Brain Tumors. - Subhashis Banerjee; Sushmita Mitra (Frontiers Comput. Neurosci., 2020)

Glioma Classification Using Deep Radiomics. - Subhashis Banerjee; Sushmita Mitra; Francesco Masulli; Stefano Rovetta (SN Comput. Sci., 2020)

Fuzzy volumetric delineation of brain tumor and survival prediction. - Saumya Bhadani; Sushmita Mitra; Subhashis Banerjee (Soft Comput., 2020)

Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. - Subhashis Banerjee; Sushmita Mitra; Lawrence O. Hall (CoRR, 2021)

QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. - 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; et al. (CoRR, 2021)

Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. - Britty Baby; Mustafa Chasmai; Tamajit Banerjee; Ashish Suri; Subhashis Banerjee; Chetan Arora 001 (ICIP, 2022)

Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. - Subhashis Banerjee; Dimitrios Toumpanakis; Ashis Kumar Dhara; Johan Wikström; Robin Strand (ISBI, 2022)

REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. - Lokender Tiwari; Anish Madan; Saket Anand; Subhashis Banerjee (WACV, 2022)

Using satellites and artificial intelligence to measure health and material-living standards in India. - Adel Daoud; Felipe Jordan; Makkunda Sharma; Fredrik D. Johansson; Devdatt P. Dubhashi; Sourabh Bikash Paul; Subhashis Banerjee (CoRR, 2022)

Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. - Subhashis Banerjee; Robin Strand (Image Processing, 2023)

Deep curriculum learning for follow-up MRI registration in glioblastoma. - Subhashis Banerjee; Dimitrios Toumpanakis; Ashis Kumar Dhara; Johan Wikström; Robin Strand (Image Processing, 2023)

3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. - Swagata Kundu; Subhashis Banerjee; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (PReMI, 2023)

Deep Active Learning for Glioblastoma Quantification. - Subhashis Banerjee; Robin Strand (SCIA (1), 2023)

From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. - Britty Baby; Daksh Thapar; Mustafa Chasmai; Tamajit Banerjee; Kunal Dargan; Ashish Suri; Subhashis Banerjee; Chetan Arora 001 (WACV, 2023)

OpenVoting: Recoverability from Failures in Dual Voting. - Prashant Agrawal; Kabir Tomer; Abhinav Nakarmi; Mahabir Prasad Jhanwar; Subodh Sharma 001; Subhashis Banerjee (IACR Cryptol. ePrint Arch., 2023)

Publicly Auditable Privacy-Preserving Electoral Rolls. - Prashant Agrawal; Mahabir Prasad Jhanwar; Subodh Vishnu Sharma; Subhashis Banerjee (CSF, 2024)

Traceable mixnets. - Prashant Agrawal; Abhinav Nakarmi; Mahabir Prasad Jhanwar; Subodh Sharma 001; Subhashis Banerjee (Proc. Priv. Enhancing Technol., 2024)

ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. - Swagata Kundu; Subhashis Banerjee; Eva Breznik; Dimitrios Toumpanakis; Johan Wikström; Robin Strand; Ashis Kumar Dhara (SN Comput. Sci., 2024)