Natasha Banerjee is an Assistant 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. In conjunction with her spouse and research partner Dr. Sean Banerjee, she has received Clarkson University's first NSF CRI award to set up a dense 200+ multi-sensor environment to capture everyday multi-person interactions.


I am currently looking for graduate and undergraduate students of high caliber for assistantships. Please contact me via email for details about available positions.

PUBLICATIONS

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.

FUNDING

NSF CRI, Omniview Multi-modal Sensor Laboratory for Understanding Human Interactions in Ubiquitous Environments, $746,916 (2017). In collaboration with Dr. Sean Banerjee.

NSF CITeR, Single-shot contact-less fingerprints, $20,000 (2017). In collaboration with Dr. Stephanie Schuckers and Dr. Sean Banerjee.

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.

STUDENTS

Ph.D.

YIJUN JIANG, Computer Science
GENNADY STASKEVICH, Computer Science
EDWARD VERENICH, Computer Science
COREY PENTASUGLIA, Computer Science

M.S.

MIAO LUO, Computer Science
ROBERT MILLER, Computer Science
SHASHIKANT INGALE, Computer Science

M.S. PAST STUDENTS

LINTAO GUO, Computer Science (now at Zebra Technologies)

B.S.

DAMON GWINN, Computer Science
BENJAMIN MOELLER, Computer Science
DAVID RUSSELL, Computer Science, Honors
HEET DAVE, Computer Science
JEREMY DEWEY, Computer Science
ANDREW SHAW, Computer Science
ELIM SCHENCK, Computer Engineering
JENNA RYAN, Computer Science / Mathematics, Honors
HANNAH DeFAZIO, Computer Science, Honors
ALEXANDER KUPIN, Computer Science
SARAH INZERILLO, Computer Science, Honors
ASHWIN AJIT, Computer Science, Clarkson School + Honors

B.S. PAST STUDENTS

NIKOLAS LAMB, Computer Science, 2019 NSF GRF Award Winner (now at Lehigh University)
TIM DUNN, Electrical Engineering / Computer Science, Honors (now at U. Michigan, Ann Arbor)
LUKE YUAN, Computer Science, Clarkson School + Honors (now at Cornell University)
GUS NAUGHTON, Computer Science (now at GE Digital)
SPENCER KRANZ, Computer Science / Mathematics / Physics, Honors
JOSH GILLETTE, Computer Science / Mathematics
MEGAN PORGA, Computer Science / Digital Arts, Honors
JACK BRODERICK, Electrical Engineering / Computer Science, Honors
HUNTER QUANT, Computer Science
TRINITY DICKINSON, Computer Science, Clarkson School + Honors
PHILLIP TIBBERTS, Computer Science, Honors
ABIGAIL MATTHEWS, Computer Science, Honors
LEOPOLD HIESMAIR, Exchange Student

COURSES

SPRING 2019, Computer Graphics (CS452 / EE465 / CS552 / EE505)
SPRING 2019, Mixed Reality (CS461 / CS561)

FALL 2018, Computer Vision (CS652 / EE652)
FALL 2018, Advanced Programming Concepts in Java (CS242)

SPRING 2018, Computer Graphics (CS452 / EE465 / CS552 / EE505)
SPRING 2018, Computer Vision (CS652 / EE652)
SPRING 2018, Mixed Reality (CS461 / CS561)

FALL 2017, Computer Vision (CS652 / EE652)
FALL 2017, Advanced Programming Concepts in Java (CS242)

SUMMER 2017, Horizons II One Week Course on Programming

SPRING 2017, Computer Graphics (CS452 / EE465 / CS552 / EE505)
SPRING 2017, Human-Computer Interaction (CS459 / CS559)

FALL 2016, Computer Vision (CS652 / EE652)
FALL 2016, Advanced Programming Concepts in Java (CS242)

SUMMER 2016, Horizons III One Week Course on Graphics and Human-Computer Interaction
SUMMER 2016, Horizons II One Week Course on Programming

SPRING 2016, Computer Graphics (CS452 / EE465 / CS552 / EE505)
SPRING 2016, Human-Computer Interaction (CS459 / CS559)

FALL 2016, Computer Vision (CS652 / EE652)

Copyright © Natasha Kholgade Banerjee. All rights reserved.