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2020 – today
- 2024
[j25]Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee:
Traceable mixnets. Proc. Priv. Enhancing Technol. 2024(2): 235-275 (2024)- [j24]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): 106 (2024) - [c62]Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee:
Publicly Auditable Privacy-Preserving Electoral Rolls. CSF 2024: 217-232 - [i21]Prashant Agrawal, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee:
Publicly auditable privacy-preserving electoral rolls. CoRR abs/2402.11582 (2024) - 2023
- [c61]Prashant Agrawal, Kabir Tomer, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee:
OpenVoting: Recoverability from Failures in Dual Voting. E-Vote-ID 2023: 18-34 - [c60]Subhashis Banerjee, Robin Strand:
Lifelong learning with dynamic convolutions for glioma segmentation from multi-modal MRI. Image Processing 2023 - [c59]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Deep curriculum learning for follow-up MRI registration in glioblastoma. Image Processing 2023 - [c58]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: 380-387 - [c57]Subhashis Banerjee, Robin Strand:
Deep Active Learning for Glioblastoma Quantification. SCIA (1) 2023: 190-200 - [c56]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: 6180-6190 - [i20]Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Sharma, Subhashis Banerjee:
Traceable mixnets. CoRR abs/2305.08138 (2023) - [i19]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: 1393 (2023) - [i18]Prashant Agrawal, Abhinav Nakarmi, Mahabir Prasad Jhanwar, Subodh Vishnu Sharma, Subhashis Banerjee:
Traceable mixnets. IACR Cryptol. ePrint Arch. 2023: 1942 (2023) - 2022
- [c55]Britty Baby, Mustafa Chasmai, Tamajit Banerjee, Ashish Suri, Subhashis Banerjee, Chetan Arora:
Representation Learning Using Rank Loss for Robust Neurosurgical Skills Evaluation. ICIP 2022: 4048-4052 - [c54]Subhashis Banerjee, Dimitrios Toumpanakis, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Topology-Aware Learning for Volumetric Cerebrovascular Segmentation. ISBI 2022: 1-4 - [c53]Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee:
REGroup: Rank-aggregating Ensemble of Generative Classifiers for Robust Predictions. WACV 2022: 3829-3838 - [i17]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 abs/2202.00109 (2022) - [i16]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 abs/2211.16200 (2022) - 2021
- [i15]Subhashis Banerjee, Sushmita Mitra, Lawrence O. Hall:
Analysis of MRI Biomarkers for Brain Cancer Survival Prediction. CoRR abs/2109.02785 (2021) - [i14]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:
QU-BraTS: MICCAI BraTS 2020 Challenge on Quantifying Uncertainty in Brain Tumor Segmentation - Analysis of Ranking Metrics and Benchmarking Results. CoRR abs/2112.10074 (2021) - 2020
- [j23]Mousumi Sardar, Subhashis Banerjee, Sushmita Mitra:
Iris Segmentation Using Interactive Deep Learning. IEEE Access 8: 219322-219330 (2020) - [j22]Subhashis Banerjee, Sushmita Mitra:
Novel Volumetric Sub-region Segmentation in Brain Tumors. Frontiers Comput. Neurosci. 14: 3 (2020) - [j21]Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta:
Glioma Classification Using Deep Radiomics. SN Comput. Sci. 1(4): 209 (2020) - [j20]Saumya Bhadani, Sushmita Mitra, Subhashis Banerjee:
Fuzzy volumetric delineation of brain tumor and survival prediction. Soft Comput. 24(17): 13115-13134 (2020) - [c52]Subhashis Banerjee, Ashis Kumar Dhara, Johan Wikström, Robin Strand:
Segmentation of Intracranial Aneurysm Remnant in MRA using Dual-Attention Atrous Net. ICPR 2020: 9265-9272 - [c51]Subhashis Banerjee, Sushmita Mitra:
Evolving Optimal Convolutional Neural Networks. SSCI 2020: 2677-2683 - [i13]Arpan Mangal, Surya Kalia, Harish Rajgopal, Krithika Rangarajan, Vinay P. Namboodiri, Subhashis Banerjee, Chetan Arora:
CovidAID: COVID-19 Detection Using Chest X-Ray. CoRR abs/2004.09803 (2020) - [i12]Prashant Agrawal, Anubhutie Singh, Malavika Raghavan, Subodh Sharma, Subhashis Banerjee:
An operational architecture for privacy-by-design in public service applications. CoRR abs/2006.04654 (2020) - [i11]Lokender Tiwari, Anish Madan, Saket Anand, Subhashis Banerjee:
Dissecting Deep Networks into an Ensemble of Generative Classifiers for Robust Predictions. CoRR abs/2006.10679 (2020)
2010 – 2019
- 2019
- [j19]Subhashis Banerjee, Subodh Sharma:
Privacy concerns with Aadhaar. Commun. ACM 62(11): 80 (2019) - [c50]Subhashis Banerjee, Harkirat Singh Arora, Sushmita Mitra:
Ensemble of CNNs for Segmentation of Glioma Sub-regions with Survival Prediction. BrainLes@MICCAI (2) 2019: 37-49 - [c49]Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee:
EGO-SLAM: A Robust Monocular SLAM for Egocentric Videos. WACV 2019: 31-40 - [i10]Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta:
Deep Radiomics for Brain Tumor Detection and Classification from Multi-Sequence MRI. CoRR abs/1903.09240 (2019) - [i9]Prashant Agrawal, Kabir Tomer, Subodh Sharma, Subhashis Banerjee:
A universally verifiable, software independent, bare-handed voting protocol. CoRR abs/1908.09557 (2019) - 2018
- [j18]Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar:
Automated 3D segmentation of brain tumor using visual saliency. Inf. Sci. 424: 337-353 (2018) - [c48]Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar:
Multi-planar Spatial-ConvNet for Segmentation and Survival Prediction in Brain Cancer. BrainLes@MICCAI (2) 2018: 94-104 - [c47]Subhashis Banerjee, Sushmita Mitra, Francesco Masulli, Stefano Rovetta:
Brain Tumor Detection and Classification from Multi-sequence MRI: Study Using ConvNets. BrainLes@MICCAI (1) 2018: 170-179 - [c46]Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Subhashis Banerjee, Chetan Arora:
A Joint 3D-2D Based Method for Free Space Detection on Roads. WACV 2018: 643-652 - [i8]Subhashis Banerjee:
Authorisation and access control architecture as a framework for data and privacy protection. CoRR abs/1801.05313 (2018) - [i7]Subhashis Banerjee, Sushmita Mitra, Anmol Sharma, B. Uma Shankar:
A CADe System for Gliomas in Brain MRI using Convolutional Neural Networks. CoRR abs/1806.07589 (2018) - [i6]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 abs/1811.02629 (2018) - 2017
- [j17]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: 190-205 (2017) - [c45]Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar:
Synergetic neuro-fuzzy feature selection and classification of brain tumors. FUZZ-IEEE 2017: 1-6 - [c44]Shashank Yadav, Suvam Patra, Chetan Arora, Subhashis Banerjee:
Deep CNN with color lines model for unmarked road segmentation. ICIP 2017: 585-589 - [c43]Suvam Patra, Himanshu Aggarwal, Himani Arora, Subhashis Banerjee, Chetan Arora:
Computing Egomotion with Local Loop Closures for Egocentric Videos. WACV 2017: 454-463 - [i5]Suvam Patra, Himanshu Aggarwal, Himani Arora, Chetan Arora, Subhashis Banerjee:
Computing Egomotion with Local Loop Closures for Egocentric Videos. CoRR abs/1701.04743 (2017) - [i4]Suvam Patra, Kartikeya Gupta, Faran Ahmad, Chetan Arora, Subhashis Banerjee:
Batch based Monocular SLAM for Egocentric Videos. CoRR abs/1707.05564 (2017) - [i3]Suvam Patra, Pranjal Maheshwari, Shashank Yadav, Chetan Arora, Subhashis Banerjee:
A Joint 3D-2D based Method for Free Space Detection on Roads. CoRR abs/1711.02144 (2017) - [i2]Potnuru Kishen Suraj, Ankesh Gupta, Makkunda Sharma, Sourabh Bikash Paul, Subhashis Banerjee:
On monitoring development using high resolution satellite images. CoRR abs/1712.02282 (2017) - 2016
- [j16]Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar:
Single seed delineation of brain tumor using multi-thresholding. Inf. Sci. 330: 88-103 (2016) - [c42]Subhashis Banerjee, Sushmita Mitra, B. Uma Shankar:
ROI Segmentation from Brain MR Images with a Fast Multilevel Thresholding. CVIP (1) 2016: 249-259 - [c41]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: 987-993 - 2015
- [j15]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): 1323-1335 (2015) - 2014
- [c40]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: 273-287 - [c39]Chetan Arora, Subhashis Banerjee, Prem Kumar Kalra, S. N. Maheshwari:
Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems. CVPR 2014: 1338-1345 - 2013
- [c38]Subhashis Banerjee, Mousumi Sardar, Koushik Majumder:
AODV Based Black-Hole Attack Mitigation in MANET. FICTA 2013: 345-352 - 2012
- [c37]Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra:
Unsupervised Discovery of Activities and Their Temporal Behaviour. AVSS 2012: 100-105 - [c36]Ayesha Choudhary, Tanveer A. Faruquie, Subhashis Banerjee, Santanu Chaudhury:
Discovering Activities and Their Temporal Significance. AVSS 2012: 240-245 - [c35]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: 17-30 - [c34]Dakshita Khurana, Surabhi Sankhla, Abhinav Shukla, Richa Varshney, Prem Kalra, Subhashis Banerjee:
A grammar-based GUI for single view reconstruction. ICVGIP 2012: 14 - [c33]Subhashis Banerjee, Koushik Majumder:
A Comparative Study on Wormhole Attack Prevention Schemes in Mobile Ad-Hoc Network. SNDS 2012: 372-384 - [c32]Subhashis Banerjee, Koushik Majumder:
A Survey of Blackhole Attacks and Countermeasures in Wireless Mobile Ad-hoc Networks. SNDS 2012: 396-407 - [c31]Suvam Patra, Brojeshwar Bhowmick, Subhashis Banerjee, Prem Kalra:
High Resolution Point Cloud Generation from Kinect and HD Cameras using Graph Cut. VISAPP (2) 2012: 311-316 - [r1]Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee:
Clustering for Multi-Perspective Video Analytics. Handbook of Soft Computing for Video Surveillance 2012: 211-236 - [i1]Debajit Sensarma, Subhashis Banerjee, Krishnendu Basuli, Saptarshi Naskar, Samar Sen-Sarma:
On an optimization technique using Binary Decision Diagram. CoRR abs/1203.2505 (2012) - 2011
- [j14]Uma Mudenagudi, Subhashis Banerjee, Prem Kumar Kalra:
Space-Time Super-Resolution Using Graph-Cut Optimization. IEEE Trans. Pattern Anal. Mach. Intell. 33(5): 995-1008 (2011) - [j13]Tanveer A. Faruquie, Subhashis Banerjee, Prem Kalra:
Latent topic model-based group activity discovery. Vis. Comput. 27(12): 1071-1082 (2011) - [c30]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: 16-25 - 2010
- [c29]Ayesha Choudhary, Gaurav Sharma, Santanu Chaudhury, Subhashis Banerjee:
Distributed calibration of pan-tilt camera network using multi-layered belief propagation. CVPR Workshops 2010: 33-40 - [c28]Chetan Arora, Subhashis Banerjee, Prem Kalra, S. N. Maheshwari:
An Efficient Graph Cut Algorithm for Computer Vision Problems. ECCV (3) 2010: 552-565 - [c27]Tanveer A. Faruquie, Subhashis Banerjee, Prem Kumar Kalra:
Unsupervised discovery of activity correlations using latent topic models. ICVGIP 2010: 25-32 - [c26]Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee:
Distributed framework for composite event recognition in a calibrated pan-tilt camera network. ICVGIP 2010: 140-147
2000 – 2009
- 2009
- [c25]Tanveer A. Faruquie, Prem Kumar Kalra, Subhashis Banerjee:
Time based Activity Inference using Latent Dirichlet Allocation. BMVC 2009: 1-10 - 2008
- [c24]Uma Mudenagudi, Subhashis Banerjee, Prem Kalra:
On Improving Space-Time Super Resolution Using a Small Set of Video Inputs. ICVGIP 2008: 320-327 - [c23]Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee:
A Framework for Analysis of Surveillance Videos. ICVGIP 2008: 344-351 - [c22]Ayesha Choudhary, Manish Pal, Subhashis Banerjee, Santanu Chaudhury:
Unusual Activity Analysis Using Video Epitomes and pLSA. ICVGIP 2008: 390-397 - 2007
- [b1]Parag Chaudhuri, Prem Kalra, Subhashis Banerjee:
View-dependent character animation. Springer 2007, ISBN 978-1-84628-591-2, pp. I-XI, 1-133 - [j12]Subhajit Sanyal, Subhashis Banerjee, Prem Kumar Kalra:
Designing quality walkthroughs. Comput. Animat. Virtual Worlds 18(4-5): 527-538 (2007) - [j11]Parag Chaudhuri, Prem Kalra, Subhashis Banerjee:
Reusing view-dependent animation. Vis. Comput. 23(9-11): 707-719 (2007) - [c21]Uma Mudenagudi, Ankit Gupta, Lakshya Goel, Avanish Kushal, Prem Kalra, Subhashis Banerjee:
Super Resolution of Images of 3D Scenecs. ACCV (2) 2007: 85-95 - [c20]Ayesha Choudhary, Santanu Chaudhury, Subhashis Banerjee:
Unusual Activity Analysis in Video Sequences. RSFDGrC 2007: 443-450 - 2006
- [c19]Uma Mudenagudi, Ram Singla, Prem Kumar Kalra, Subhashis Banerjee:
Super Resolution Using Graph-Cut. ACCV (2) 2006: 385-394 - 2005
- [j10]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): 282-292 (2005) - [c18]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: 273 - 2004
- [j9]Parag Chaudhuri, Prem Kalra, Subhashis Banerjee:
A System for View-Dependent Animation. Comput. Graph. Forum 23(3): 411-420 (2004) - [j8]Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra:
An uncalibrated lightfield acquisition system. Image Vis. Comput. 22(14): 1197-1202 (2004) - [j7]Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
Active recognition through next view planning: a survey. Pattern Recognit. 37(3): 429-446 (2004) - [c17]Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra:
Modeling of Free-Form Surfaces and Shape From Shading. 3DPVT 2004: 600-607 - [c16]Namita Gupta, Pooja Mittal, Kaustubh Patwardhan, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
On line predictive appearance-based tracking. ICIP 2004: 1041-1044 - [c15]Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalra, Subhashis Banerjee:
A Framework for Activity Recognition and Detection of Unusual Activities. ICVGIP 2004: 15-21 - [c14]Parag Chaudhuri, Ashwani Jindal, Prem Kalra, Subhashis Banerjee:
Stylistic Reuse of View-Dependent Animations. ICVGIP 2004: 95-100 - [c13]Subhajit Sanyal, Mayank Bansal, Subhashis Banerjee, Prem Kumar Kalra:
On Learning Shapes from Shades. ICVGIP 2004: 275-282 - 2003
- [j6]Aditya Ramamoorthy, Namrata Vaswani, Santanu Chaudhury, Subhashis Banerjee:
Recognition of dynamic hand gestures. Pattern Recognit. 36(9): 2069-2081 (2003) - [j5]Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
Aspect graph construction with noisy feature detectors. IEEE Trans. Syst. Man Cybern. Part B 33(2): 340-351 (2003) - [c12]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 - 2002
- [j4]R. J. Kate, Prem Kumar Kalra, Subhashis Banerjee:
Towards an Automatic Approach for View-Dependent Geometry. Int. J. Image Graph. 2(3): 413-424 (2002) - [c11]Namita Gupta, Pooja Mittal, Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
CONDENSATION-Based Predictive EigenTracking. ICVGIP 2002 - [c10]Akash Kushal, Vikas Bansal, Subhashis Banerjee:
A Simple Method for Interactive 3D Reconstruction, Camera Calibration from a Single View. ICVGIP 2002 - [c9]Puneet Sharma, Angshuman Parashar, Subhashis Banerjee, Prem Kumar Kalra:
An Uncalibrated Lightfield Acquisition System. ICVGIP 2002 - 2001
- [c8]Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
Recognizing Large 3-D Objects through Next View Planning using an Uncalibrated Camera. ICCV 2001: 276-281 - 2000
- [j3]Sumantra Dutta Roy, Santanu Chaudhury, Subhashis Banerjee:
Isolated 3D object recognition through next view planning. IEEE Trans. Syst. Man Cybern. Part A 30(1): 67-76 (2000) - [c7]Shoma Chatterjee, Subhashis Banerjee, K. K. Biswas:
Reconstruction of Local Features for Facial Video Compression. ICIP 2000: 211-214
1990 – 1999
- 1999
- [j2]Navin Rajpal, Santanu Chaudhury, Subhashis Banerjee:
Recognition of partially occluded objects using neural network based indexing. Pattern Recognit. 32(10): 1737-1749 (1999) - [c6]Michael Werman, MaoLin Qiu, Subhashis Banerjee, Sumantra Dutta Roy:
Robot Localization using Uncalibrated Camera Invariants. CVPR 1999: 2353-2359 - 1998
- [c5]Sandeep K. Lodha, Shashank Gupta, M. Balakrishnan, Subhashis Banerjee:
Real Time Collision Detection and Avoidance: A Case Study for Design Space Exploration in HW-SW Codesign. VLSI Design 1998: 97- - 1997
- [j1]G. Sudhir, Subhashis Banerjee, Andrew Zisserman:
Finding Point Correspondences in Motion Sequences Preserving Affine Structure. Comput. Vis. Image Underst. 68(2): 237-246 (1997) - [c4]Gurmeet Singh Manku, Pankaj Jain, Amit Aggarwal, Lalit Kumar, Subhashis Banerjee:
Object tracking using affine structure for point correspondences. CVPR 1997: 704-709 - 1994
- [c3]G. Sudhir, Subhashis Banerjee, K. K. Biswas, R. Bahl:
A cooperative integration of stereopsis and optic flow computation. ICPR (1) 1994: 356-360 - 1993
- [c2]G. Sudhir, Subhashis Banerjee, Andrew Zisserman:
Finding Point Correspondences in Motion Sequences Preserving Affine Structure. BMVC 1993: 1-10 - 1992
- [c1]Subhashis Banerjee, P. S. Sastry, Y. V. Venkatesh:
Surface reconstruction from disparate shading: an integration of shape-from-shading and stereopsis. ICPR (1) 1992: 141-144
Coauthor Index
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last updated on 2025-03-04 22:13 CET by the dblp team
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