Subhashis Banerjee

110 papers A* 4A 9B 10Misc 1Journal 46Unranked 38

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	ASE-Net for Segmentation of Post-Operative Glioblastoma and Patient-Specific Fine-Tuning for Segmentation Refinement of Follow-Up MRI Scans. SN Comput. Sci. Swagata Kundu, Subhashis Banerjee, Eva Breznik, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara
2024	A	`conf`	Publicly Auditable Privacy-Preserving Electoral Rolls. CSF Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
2024	J	`jnl`	Publicly auditable privacy-preserving electoral rolls. CoRR Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
2024	J	`jnl`	Traceable mixnets. Proc. Priv. Enhancing Technol. Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
2023	—	`conf`	3-D Attention-SEV-Net for Segmentation of Post-operative Glioblastoma with Interactive Correction of Over-Segmentation. PReMI Swagata Kundu, Subhashis Banerjee, Dimitrios Toumpanakis, Johan Wikström, Robin Strand, Ashis Kumar Dhara
2023	—	`conf`	Deep Active Learning for Glioblastoma Quantification. SCIA (1) Subhashis Banerjee, Robin Strand
2023	B	`conf`	Deep curriculum learning for follow-up MRI registration in glioblastoma. Image Processing Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand
2023	A	`conf`	From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. WACV Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora
2023	B	`conf`	Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. Image Processing Subhashis Banerjee, Robin Strand
2023	—	`conf`	OpenVoting: Recoverability from Failures in Dual Voting. E-Vote-ID Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
2023	J	`jnl`	OpenVoting: Recoverability from Failures in Dual Voting. IACR Cryptol. ePrint Arch. Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
2023	J	`jnl`	Traceable mixnets. CoRR Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee
2023	J	`jnl`	Traceable mixnets. IACR Cryptol. ePrint Arch. Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee
2022	J	`jnl`	From Forks to Forceps: A New Framework for Instance Segmentation of Surgical Instruments. CoRR Britty Baby, Daksh Thapar, Mustafa Chasmai, Tamajit Banerjee, Kunal Dargan, Ashish Suri, Subhashis Banerjee, Chetan Arora
2022	A	`conf`	REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
2022	B	`conf`	Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. ICIP Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Ashish Suri, Subhashis Banerjee, Chetan Arora
2022	—	`conf`	Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. ISBI Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand
2022	J	`jnl`	Using satellites and artificial intelligence to measure health and material-living standards in India. CoRR Adel Daoud, Felipe Jordan, Makkunda Sharma, Fredrik D. Johansson, Devdatt P. Dubhashi, Sourabh Bikash Paul, Subhashis Banerjee
2021	J	`jnl`	Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. CoRR Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall
2021	J	`jnl`	QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR 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 Caballero, 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 H. Meyer, Nisarg A. Shah, Sanjay N. 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
2020	J	`jnl`	An operational architecture for privacy-by-design in public service applications. CoRR Prashant Agrawal, Anubhutie Singh, Malavika Raghavan, Subodh Sharma, Subhashis Banerjee
2020	J	`jnl`	CovidAID: COVID-19 Detection Using Chest X-Ray. CoRR Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay P. Namboodiri, Subhashis Banerjee, Chetan Arora
2020	J	`jnl`	Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee
2020	—	`conf`	Evolving Optimal Convolutional Neural Networks. SSCI Subhashis Banerjee, Sushmita Mitra
2020	J	`jnl`	Fuzzy volumetric delineation of brain tumor and survival prediction. Soft Comput. Saumya Bhadani, Sushmita Mitra, Subhashis Banerjee
2020	J	`jnl`	Glioma Classification Using Deep Radiomics. SN Comput. Sci. Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
2020	J	`jnl`	Iris Segmentation Using Interactive Deep Learning. IEEE Access Mousumi Sardar, Subhashis Banerjee, Sushmita Mitra
2020	J	`jnl`	Novel Volumetric Sub-region Segmentation in Brain Tumors. Frontiers Comput. Neurosci. Subhashis Banerjee, Sushmita Mitra
2020	B	`conf`	Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. ICPR Subhashis Banerjee, Ashis Kumar Dhara, Johan Wikström, Robin Strand
2019	J	`jnl`	A universally verifiable, software independent, bare-handed voting protocol. CoRR Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee
2019	J	`jnl`	Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI. CoRR Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
2019	A	`conf`	EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. WACV Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee
2019	—	`conf`	Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction. BrainLes@MICCAI (2) Subhashis Banerjee, Harkirat Singh Arora, Sushmita Mitra
2019	J	`jnl`	Privacy concerns with Aadhaar. Commun. ACM Subhashis Banerjee, Subodh Sharma
2018	J	`jnl`	A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks. CoRR Subhashis Banerjee, Sushmita Mitra, Anmol Sharma, B. Uma Shankar
2018	A	`conf`	A Joint 3D-2D Based Method for Free Space Detection on Roads. WACV Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora
2018	J	`jnl`	Authorisation and access control architecture as a framework for data and privacy protection. CoRR Subhashis Banerjee
2018	J	`jnl`	Automated 3D segmentation of brain tumor using visual saliency. Inf. Sci. Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2018	—	`conf`	Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets. BrainLes@MICCAI (1) Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta
2018	J	`jnl`	Identifying the Best Machine Learning Algorithms for Brain Tumor Segmentation, Progression Assessment, and Overall Survival Prediction in the BRATS Challenge. CoRR 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.
2018	—	`conf`	Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer. BrainLes@MICCAI (2) Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2017	J	`jnl`	A Joint 3D-2D based Method for Free Space Detection on Roads. CoRR Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee
2017	J	`jnl`	Batch based Monocular SLAM for Egocentric Videos. CoRR Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee
2017	A	`conf`	Computing Egomotion with Local Loop Closures for Egocentric Videos. WACV Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora
2017	J	`jnl`	Computing Egomotion with Local Loop Closures for Egocentric Videos. CoRR Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora, Subhashis Banerjee
2017	B	`conf`	Deep CNN with color lines model for unmarked road segmentation. ICIP Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee
2017	J	`jnl`	Divide and conquer: A hierarchical approach to large-scale structure-from-motion. Comput. Vis. Image Underst. Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee
2017	J	`jnl`	On monitoring development using high resolution satellite images. CoRR Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma, Sourabh Bikash Paul, Subhashis Banerjee
2017	B	`conf`	Synergetic neuro-fuzzy feature selection and classification of brain tumors. FUZZ-IEEE Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2016	—	`conf`	Neuro-endo-activity-tracker: An automatic activity detection application for Neuro-Endo-Trainer: Neuro-Endo-activity-tracker. ICACCI Britty Baby, Vinkle Kumar Srivastav, Ramandeep Singh, Ashish Suri, Subhashis Banerjee
2016	—	`conf`	ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding. CVIP (1) Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2016	J	`jnl`	Single seed delineation of brain tumor using multi-thresholding. Inf. Sci. Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar
2015	J	`jnl`	Generalized Flows for Optimal Inference in Higher Order MRF-MAP. IEEE Trans. Pattern Anal. Mach. Intell. Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari
2014	—	`conf`	Divide and Conquer: Efficient Large-Scale Structure from Motion Using Graph Partitioning. ACCV (2) Brojeshwar Bhowmick, Suvam Patra, Avishek Chatterjee, Venu Madhav Govindu, Subhashis Banerjee
2014	A*	`conf`	Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. CVPR Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari
2013	—	`conf`	AODV Based Black-Hole Attack Mitigation in MANET. FICTA Subhashis Banerjee, Mousumi Sardar, Koushik Majumder
2012	—	`conf`	A Comparative Study on Wormhole Attack Prevention Schemes in Mobile Ad-Hoc Network. SNDS Subhashis Banerjee, Koushik Majumder
2012	—	`conf`	A Survey of Blackhole Attacks and Countermeasures in Wireless Mobile Ad-hoc Networks. SNDS Subhashis Banerjee, Koushik Majumder
2012	—	`conf`	A grammar-based GUI for single view reconstruction. ICVGIP Dakshita Khurana, Surabhi Sankhla, Abhinav Shukla, Richa Varshney, Prem Kalra, Subhashis Banerjee
2012	—	`ch.`	Clustering for Multi-Perspective Video Analytics. Handbook of Soft Computing for Video Surveillance Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
2012	B	`conf`	Discovering Activities and Their Temporal Significance. AVSS Ayesha Choudhary, Tanveer A. Faruquie, Subhashis Banerjee, Santanu Chaudhury
2012	—	`conf`	Generic Cuts: An Efficient Algorithm for Optimal Inference in Higher Order MRF-MAP. ECCV (5) Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari
2012	—	`conf`	High Resolution Point Cloud Generation from Kinect and HD Cameras using Graph Cut. VISAPP (2) Suvam Patra, Brojeshwar Bhowmick, Subhashis Banerjee, Prem Kalra
2012	J	`jnl`	On an optimization technique using Binary Decision Diagram CoRR Debajit Sensarma, Subhashis Banerjee, Krishnendu Basuli, Saptarshi Naskar, Samar Sen-Sarma
2012	B	`conf`	Unsupervised Discovery of Activities and Their Temporal Behaviour. AVSS Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra
2011	—	`conf`	Design and Implementation of the Workflow of an Academic Cloud. DNIS Abhishek Gupta, Jatin Kumar, Daniel J. Mathew, Sorav Bansal, Subhashis Banerjee, Huzur Saran
2011	J	`jnl`	Latent topic model-based group activity discovery. Vis. Comput. Tanveer A. Faruquie, Subhashis Banerjee, Prem Kalra
2011	J	`jnl`	Space-Time Super-Resolution Using Graph-Cut Optimization. IEEE Trans. Pattern Anal. Mach. Intell. Uma Mudenagudi, Subhashis Banerjee, Prem Kumar Kalra
2010	—	`conf`	An Efficient Graph Cut Algorithm for Computer Vision Problems. ECCV (3) Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari
2010	—	`conf`	Distributed calibration of pan-tilt camera network using multi-layered belief propagation. CVPR Workshops Ayesha Choudhary, Gaurav Sharma, Santanu Chaudhury, Subhashis Banerjee
2010	—	`conf`	Distributed framework for composite event recognition in a calibrated pan-tilt camera network. ICVGIP Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
2010	—	`conf`	Unsupervised discovery of activity correlations using latent topic models. ICVGIP Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra
2009	A	`conf`	Time based Activity Inference using Latent Dirichlet Allocation. BMVC Tanveer A. Faruquie, Prem Kumar Kalra, Subhashis Banerjee
2008	—	`conf`	A Framework for Analysis of Surveillance Videos. ICVGIP Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
2008	—	`conf`	On Improving Space-Time Super Resolution Using a Small Set of Video Inputs. ICVGIP Uma Mudenagudi, Subhashis Banerjee, Prem Kalra
2008	—	`conf`	Unusual Activity Analysis Using Video Epitomes and pLSA. ICVGIP Ayesha Choudhary, Manish Pal, Subhashis Banerjee, Santanu Chaudhury
2007	J	`jnl`	Designing quality walkthroughs. Comput. Animat. Virtual Worlds Subhajit Sanyal, Subhashis Banerjee, Prem Kumar Kalra
2007	J	`jnl`	Reusing view-dependent animation. Vis. Comput. Parag Chaudhuri, Prem Kalra, Subhashis Banerjee
2007	—	`conf`	Super Resolution of Images of 3D Scenecs. ACCV (2) Uma Mudenagudi, Ankit Gupta, Lakshya Goel, Avanish Kushal, Prem Kalra, Subhashis Banerjee
2007	—	`conf`	Unusual Activity Analysis in Video Sequences. RSFDGrC Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee
2007	—	`book`	View-dependent character animation. Parag Chaudhuri, Prem Kalra, Subhashis Banerjee
2006	—	`conf`	Super Resolution Using Graph-Cut. ACCV (2) Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subhashis Banerjee
2005	J	`jnl`	Recognizing large isolated 3-D objects through next view planning using inner camera invariants. IEEE Trans. Syst. Man Cybern. Part B Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2005	A	`conf`	SMPS: an FPGA-based prototyping environment for multiprocessor embedded systems (abstract only). FPGA Ankit Mathur, Mayank Agarwal, Soumyadeb Mitra, Anup Gangwar, M. Balakrishnan, Subhashis Banerjee
2004	—	`conf`	A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee
2004	J	`jnl`	A System for View-Dependent Animation. Comput. Graph. Forum Parag Chaudhuri, Prem Kalra, Subhashis Banerjee
2004	J	`jnl`	Active recognition through next view planning: a survey. Pattern Recognit. Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2004	J	`jnl`	An uncalibrated lightfield acquisition system. Image Vis. Comput. Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra
2004	—	`conf`	Modeling of Free-Form Surfaces and Shape From Shading. 3DPVT Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
2004	—	`conf`	On Learning Shapes from Shades. ICVGIP Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra
2004	B	`conf`	On line predictive appearance-based tracking. ICIP Namita Gupta, Pooja Mittal, Kaustubh Patwardhan, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2004	—	`conf`	Stylistic Reuse of View-Dependent Animations. ICVGIP Parag Chaudhuri, Ashwani Jindal, Prem Kalra, Subhashis Banerjee
2003	J	`jnl`	Aspect graph construction with noisy feature detectors. IEEE Trans. Syst. Man Cybern. Part B Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2003	—	`conf`	Multilevel modelling and rendering of architectural scenes. Eurographics (Short Presentations) Akash M. Kushal, Gaurav Chanda, Kanishka Shrivastava, Mohit Gupta, Subhajit Sanyal, T. V. N. Sriram, Prem Kalra, Subhashis Banerjee
2003	J	`jnl`	Recognition of dynamic hand gestures. Pattern Recognit. Aditya Ramamoorthy, Namrata Vaswani, Santanu Chaudhury, Subhashis Banerjee
2002	—	`conf`	A Simple Method for Interactive 3D Reconstruction, Camera Calibration from a Single View. ICVGIP Akash Kushal, Vikas Bansal, Subhashis Banerjee
2002	—	`conf`	An Uncalibrated Lightfield Acquisition System. ICVGIP Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra
2002	—	`conf`	CONDENSATION-Based Predictive EigenTracking. ICVGIP Namita Gupta, Pooja Mittal, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2002	J	`jnl`	Towards an Automatic Approach for View-Dependent Geometry. Int. J. Image Graph. R. J. Kate, Prem Kumar Kalra, Subhashis Banerjee
2001	A*	`conf`	Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera. ICCV Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2000	J	`jnl`	Isolated 3D object recognition through next view planning. IEEE Trans. Syst. Man Cybern. Part A Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee
2000	B	`conf`	Reconstruction of Local Features for Facial Video Compression. ICIP Shoma Chatterjee, Subhashis Banerjee, K. K. Biswas
1999	J	`jnl`	Recognition of partially occluded objects using neural network based indexing. Pattern Recognit. Navin Rajpal, Santanu Chaudhury, Subhashis Banerjee
1999	A*	`conf`	Robot Localization using Uncalibrated Camera Invariants. CVPR Michael Werman, MaoLin Qiu, Subhashis Banerjee, Sumantra Dutta Roy
1998	Misc	`conf`	Real Time Collision Detection and Avoidance: A Case Study for Design Space Exploration in HW-SW Codesign. VLSI Design Sandeep K. Lodha, Shashank Gupta, M. Balakrishnan, Subhashis Banerjee
1997	J	`jnl`	Finding Point Correspondences in Motion Sequences Preserving Affine Structure. Comput. Vis. Image Underst. G. Sudhir, Subhashis Banerjee, Andrew Zisserman
1997	A*	`conf`	Object tracking using affine structure for point correspondences. CVPR Gurmeet Singh Manku, Pankaj Jain, Amit Aggarwal, Lalit Kumar, Subhashis Banerjee
1994	—	`conf`	A cooperative integration of stereopsis and optic flow computation. ICPR (1) G. Sudhir, Subhashis Banerjee, K. K. Biswas, R. Bahl
1993	A	`conf`	Finding Point Correspondences in Motion Sequences Preserving Affine Structure. BMVC G. Sudhir, Subhashis Banerjee, Andrew Zisserman
1992	—	`conf`	Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis. ICPR (1) Subhashis Banerjee, P. S. Sastry, Y. V. Venkatesh