Natasha Banerjee is an Associate Professor in the Department of Computer Science at Clarkson University in Potsdam, New York. She received her Ph.D. in 2015 from the Robotics Institute at Carnegie Mellon University. Her research lies at the intersection of computer graphics and computer vision, and focuses on understanding spatiotemporal characteristics of objects in three dimensions using large-scale multi-modal multi-viewpoint data. She is co-founder and co-director of the Terascale All-Sensing Research Studio (TARS) at Clarkson. Her work received Popular Science magazine's Best of What's New Award in 2014, was a Finalist for the World Technology Award in 2015, and has been covered extensively by several media outlets such as the New York Times, Inside Science TV, Gizmodo, TechCrunch, Clarkson News, and North Country Now. Her research is supported by multiple grants from agencies such as NSF and NIST.
I am currently looking for graduate and undergraduate students of high caliber for assistantships. Please contact me via email for details about available positions.
A. Boolani, J. Ryan, T. Vo, B. Wong, N. K. Banerjee, S. Banerjee, G. Fulk, M. L. Smith, R. Martin (2020). Do Changes in Mental Energy and Fatigue Impact Functional Assessments Associated with Fall Risks? An Exploratory Study Using Machine Learning. Physical & Occupational Therapy In Geriatrics, 1-19.
R. Miller, N. K. Banerjee, and S. Banerjee (2020). Within-System and Cross-System Behavior-Based Biometric Authentication in Virtual Reality. IEEE Conference on Virtual Reality and 3D User Interfaces Workshops (VRW), Atlanta, Georgia.
B. Pudasaini, M. Kanaparthi, J. Scrimgeour, N. Banerjee, S. Mondal, J. Skufca, and S. Dhaniyala (2020). Estimating PM2.5 from Photographs. Atmospheric Environment: X, Volume 5.
J. Gately, Y. Liang, M. K. Wright, N. K. Banerjee, S. Banerjee, and S. Dey (2020). Automatic Material Classification Using Thermal Finger Impression. International Conference on Multimedia Modeling (MMM), Daejeon, Korea.
R. Miller, A. Ajit, N. K. Banerjee, and S. Banerjee (2019). Realtime Behavior-Based Continual Authentication of Users in Virtual Reality Environments. IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, California.
A. Ajit, N. K. Banerjee, and S. Banerjee (2019). Combining Pairwise Feature Matches from Device Trajectories for Biometric Authentication in Virtual Reality Environments. IEEE International Conference on Artificial Intelligence and Virtual Reality (AIVR), San Diego, California [Best Student Paper].
N. Lamb, S. Banerjee, and N. K. Banerjee (2019). Automated Reconstruction of Smoothly Joining 3D Printed Restorations to Fix Broken Objects. ACM Symposium on Computational Fabrication (SCF), Pittsburgh, Pennsylvania.
Y. Jiang, S. Banerjee, and N. K. Banerjee (2019). Predicting Human Grasp Locations on Cup Handles by Using Deep Neural Networks to Infer Heat Signatures from Depth Data. IEEE International Conference on Multimedia and Expo Workshops (ICMEW), Shanghai, China.
J. Ryan, S. Inzerillo, J. Helmick, A. Boolani, N. K. Banerjee, and S. Banerjee (2019). Predicting If Older Adults Perform Cognitive Tasks Using Body Joint Movements From RGB-D Videos. The Eleventh International Conference on eHealth, Telemedicine, and Social Medicine (eTELEMED), Athens, Greece.
A. Kupin, B. Moeller, N. K. Banerjee, and S. Banerjee (2019). Task-Driven Biometric Authentication of Users in Virtual Reality (VR) Environments. International Conference on Multimedia Modeling (MMM), Thessaloniki, Greece [Best Paper Candidate].
Y. Jiang, E. Schenck, S. Kranz, S. Banerjee, and N. K. Banerjee (2019). CNN-Based Non-Contact Detection of Food Level in Bottles from RGB Images. International Conference on Multimedia Modeling (MMM), Thessaloniki, Greece.
T. Dunn, S. Banerjee, and N. K. Banerjee (2018). User-Independent Detection of Swipe Pressure using a Thermal Camera for Natural Surface Interaction. International Workshop on Multimedia Signal Processing (MMSP), Vancouver, Canada [Top 5% Paper Award].
Y. Jiang, M. Luo, S. Banerjee, and N. K. Banerjee (2018). When Will Breakfast Be Ready: Temporal Prediction of Food Readiness Using Deep Convolutional Neural Networks on Thermal Videos. IEEE International Conference on Multimedia and Expo Workshops (ICMEW), San Diego, California.
Y. Jiang, D. Russell, T. Godisart, N. K. Banerjee, and S. Banerjee (2018). Hardware Synchronization of Multiple Kinects and Microphones for 3D Audiovisual Spatiotemporal Data Capture. IEEE International Conference on Multimedia and Expo (ICME), San Diego, California.
D. Gwinn, J. Helmick, N. K. Banerjee, and S. Banerjee (2018). Optimal Estimation of Census Block Group Clusters to Improve the Computational Efficiency of Drive Time Calculations. Intl. Conf. on Geographical Information Systems Theory, Applications and Management (GISTAM), Madeira, Portugal.
L. Guo, H. Quant, N. Lamb, B. Lowit, S. Banerjee, and N. K. Banerjee (2018). Spatiotemporal 3D Models of Aging Fruit from Multi-View Time-Lapse Videos. International Conference on Multimedia Modeling (MMM), Bangkok, Thailand.
L. Guo, H. Quant, N. Lamb, B. Lowit, N. K. Banerjee, and S. Banerjee (2018). Multi-Camera Microenvironment to Capture Multi-view Time-lapse Videos for 3D Analysis of Aging Objects. International Conference on Multimedia Modeling (MMM), Bangkok, Thailand.
H. Quant, S. Banerjee, and N. K. Banerjee (2018). A Virtual Reality Interface for Interactions with Spatiotemporal 3D Data. International Conference on Multimedia Modeling (MMM), Bangkok, Thailand.
N. Lamb, N. K. Banerjee, and S. Banerjee (2018). Programmatic 3D Printing of a Revolving Camera Track to Automatically Capture Dense Images for 3D Scanning of Objects. International Conference on Multimedia Modeling (MMM), Bangkok, Thailand.
N. K. Banerjee, M. Simms, and S. Banerjee (2017). Image-based Keyword Search and Activity Retrieval for Social Medial Forensics. 12th Annual Symposium on Information Assurance (ASIA, co-located with 20th Annual New York State Cyber Security Conference), Albany, New York.
T. Dunn, N. K. Banerjee, and S. Banerjee (2016). GPU Acceleration of Document Similarity Measures for Automated Bug Triaging. International Workshop on Software Faults (co-located with IEEE International Symposium on Software Reliability Engineering, ISSRE), Ottawa, Canada.
Z. Cao, Y. Sheikh, and N. K. Banerjee (2016). Real-time scalable 6DOF pose estimation for textureless objects. IEEE International Conference on Robotics and Automation (ICRA), Stockholm, Sweden.
N. Kholgade (now N. K. Banerjee), T. Simon, A. Efros, and Y. Sheikh (2014). 3D Object Manipulation in a Single Photograph using Stock 3D Models. ACM Transations on Graphics (Proceedings of ACM SIGGRAPH 2014, Vancouver, BC).
N. Kholgade (now N. K. Banerjee), I. Matthews, and Y. Sheikh (2011). Content Retargeting Using Parameter-Parallel Facial Layers ACM SIGGRAPH/Eurographics Symposium on Computer Animation (SCA), Vancouver, BC.
N. Kholgade (now N. K. Banerjee), and A. Savakis (2009). Human activity recognition using the 4D spatiotemporal shape context descriptor. International Symposium on Visual Computing (ISVC), 2, pp. 357-366, Las Vegas, Nevada.
N. Kholgade (now N. K. Banerjee), and A. Savakis (2008). Human activity recognition in video using two methods for matching shape contexts of silhouettes. SPIE Defense and Security Symposium, Orlando, Florida.
PI on AM Innovations, A machine learning based solution for tracking mechanical deformation at microscopic length scale, $30,500 -- subcontractor on NIST SBIR: An Optical Imaging System to Characterize Mechanical Deformation at Microscopic Length Scale, $100,000 (2020, PI from Clarkson's side).
PI on NSF FW-HTF, Investigating Acceptability in the Workforce of Collaborative Robots that Provide and Request Assistance on an As-Needed Basis, $149,999 (2020). In collaboration with Dr. Todd Perry and Dr. Zhaleh Semnani-Azad.
Co-PI on NSF CRI, Omniview Multi-modal Sensor Laboratory for Understanding Human Interactions in Ubiquitous Environments, $746,916 (2017). In collaboration with Dr. Sean Banerjee.
Co-PI on NSF CITeR, Single-shot contact-less fingerprints, $20,000 (2017). In collaboration with Dr. Stephanie Schuckers and Dr. Sean Banerjee.
Co-PI on ISE SEED GRANT, Global Mapping of Airborne Particulate Matter from Analysis of Photographs, $50,000 (2016). In colloboration with Dr. Suresh Dhaniyala and Dr. Jan Scrimgeour.
NSF CITeR, Longitudinal Collection of Child Face Photographs, $40,000 (2015). In colloboration with Dr. Stephanie Schuckers.
SUBHASISH MALIK, Computer Science
JOSEPH JUDGE, Computer Science
YIJUN JIANG, Computer Science
PAST POST-DOCTORAL ASSOCIATE
Dr. SOUMYABRATA DEY, Now Assistant Professor of Computer Science at Clarkson
PAST GRADUATE STUDENTS
MIAO LUO, M.S. in Computer Science
SHASHIKANT INGALE, M.S. in Basic Science
LINTAO GUO, M.S. in Computer Science
NORTH COUNTRY NOW
Potsdam company can make 3D miniatures of you and your family.
NORTH COUNTRY NOW
Clarkson University sets Science Cafés for spring in Potsdam and Canton.
A 3D Twist for Flat Photos.
INSIDE SCIENCE TV
Amazing 3D Photo Editor Reveals Hidden Parts Of Images.
3-D Manipulation: An Augmented Reality Photo Editor.
THE NEW YORK TIMES
3-D Tool Guesses What a Photo Is Missing.
Copyright © Natasha Kholgade Banerjee. All rights reserved.