ANNOUNCEMENTS

08/30/2018: Tim Dunn receives the Top 5% Award for his paper "User-Independent Detection of Swipe Pressure using a Thermal Camera for Natural Surface Interaction" and presents work at Vancouver, Canada.

08/13/2018: David Russell receives a fall research co-op at Carnegie Mellon's Robotics Institute.

07/29/2018: Excellent job done by all our RAPS presenters (Jenna Ryan, Hannah DeFazio, Sarah Inzerillo, and Justin Opini), and congratulations to Jenna Ryan for winning First Prize, and Hannah DeFazio for winning Honorable Mention.

07/22/2018: Yijun Jiang and David Russell present papers on the 5-Kinect + 2-microphone capture system and on food readiness at the International Conference on Multimedia and Expo in San Diego, CA.

06/01/2018: Nikolas Lamb, David Russell, and Tim Dunn start REUs at Lehigh, Carnegie Mellon's Robotics Institute, and TU Darmstadt (Germany) respectively.

06/01/2018: Damon Gwinn, Ben Moeller, Alex Kupin, Miao Luo start summer internships.

05/31/2018: Matt Inkawhich receives fully-funded PhD offer at Duke University.

05/15/2018: Ben Lowit receives full-time offer at Epic Systems.

04/17/2018: Nikolas Lamb receives the CS Junior Award, and David Russell receives the CS Sophomore Award.

03/15/2018: David Russell receives Goldwater Scholarship.

02/05/2018: Nikolas Lamb and Hunter Quant present demos on 3D printed scanner building, spatiotemporal interactions in VR, and multi-camera object imaging at the International Conference on Multimedia Modeling in Bangkok, Thailand.

01/05/2018: David Russell starts co-op at Kitware.

ABOUT TARS

At the Terascale All-sensing Research Studio (TARS) at Clarkson University, co-directed by Dr. Sean Banerjee and Dr. Natasha Banerjee, we perform research in human-driven artificial intelligence using capture and analysis of dense multi-person interactions in online and real-world environments. Our studio houses a 16-Kinect + two-microphone capture space, three multi-Raspberry Pi camera microenvironments, two VR systems, two 3D scanners (one laser scanner and one photogrammetry-based scanner 3D-printed by us in-house), and two 3D printers (a Cartesian dual-extrusion 3D printer and a Delta 3D printer assembled by us from a kit). Our research spans computer vision, deep learning, robotics, linguistics, computer graphics, human-computer interaction, and software engineering. We have received Clarkson University's first NSF CRI grant in the amount of $746k, and we are currently building a massively dense multi-modal sensor laboratory as part of the studio.

Our students have received the Goldwater Scholarship (David Russell and Tim Dunn), and have won several awards at international conferences and the Clarkson SURE and RAPS conferences. They have done REUs at renowned institutions such as Carnegie Mellon (David Russell), Lehigh (Nikolas Lamb), TU Darmstadt (Tim Dunn), and Los Alamos National Lab (Tim Dunn), and have worked at SRC (Damon Gwinn), Rocketbots (Miao Luo), Buffini & Company (Alex Kupin), Kitware (David Russell), AFRL (Matthew Inkawhich), Team Howard (Ben Moeller), and MedExpress (Damon Gwinn). Our alumni have been placed at Duke University (Matthew Inkawhich), Huawei (Lintao Guo), AFRL (Marc Bishop), GE (Gus Naughton), Epic Systems (Ben Lowit), and Ensign-Bickford (Scott Straw).

Scroll through to see the research areas we work on. We are actively hiring undergraduate and graduate researchers of high caliber to perform research at the studio. Contact either Dr. Sean Banerjee (sbanerje a clarkson d edu) or Dr. Natasha Banerjee (nbanerje a clarkson d edu) to determine research opportunities with the studio, or to schedule a visit.

MULTI-VIEW MULTI-MODAL SENSOR SYSTEMS

PUBLICATIONS
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. International Conference on Multimedia and Expo (ICME), San Diego, CA.

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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

PRESS
Professors Sean & Natasha Banerjee Awarded Elite NSF Research Grant.
Potsdam company can make 3D miniatures of you and your family.

3D PRINTING AND 3D SCANNING

PUBLICATIONS
N. Lamb, N. K. Banerjee, and S. Banerjee (2018). 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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

CONSUMER INTELLIGENCE

PUBLICATIONS
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. International Conference on Multimedia and Expo Workshops (ICMEW), San Diego, CA.

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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]

MIXED REALITY (VR / AR)

PUBLICATIONS
H. Quant, S. Banerjee, and N. K. Banerjee (2018). A Virtual Reality Interface for Interactions with Spatiotemporal 3D Data. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

T. Dunn, S. Banerjee, and N. K. Banerjee (2018). User-Independent Detection of Swipe Pressure using a Thermal Camera for Natural Surface Interaction. 20th International Workshop on Multimedia Signal Processing (MMSP), Vancouver, Canada.

MACHINE LEARNING

PUBLICATIONS
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. 4th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Madeira, Portugal.
[PDF]

T. Dunn, N. Banerjee, and S. Banerjee (2016). GPU Acceleration of Document Similarity Measures for Automated Bug Triaging. 1st International Workshop on Software Faults (co-located with 27th International Symposium on Software Reliability Engineering, ISSRE), Ottawa, Canada.
[PDF]

PRESS
Clarkson undergrad [Tim Dunn]’s research looking to redefine computer speed.

PEOPLE

DIRECTORS

Natasha Banerjee
Assistant Professor
Computer Science
Sean Banerjee
Assistant Professor
Computer Science

GRADUATE STUDENTS

Yijun Jiang
PhD
Computer Science
Miao Luo
MS
Computer Science

UNDERGRADUATE STUDENTS

Nikolas Lamb
4th Year Computer Science
Tim Dunn
4th Year Electrical Engineering /
Computer Science
Honors, Goldwater Scholarship Winner
Damon Gwinn
4th Year Computer Science
Benjamin Moeller
4th Year Computer Science
David Russell
3rd Year Computer Science
Honors, Goldwater Scholarship Winner
Hannah DeFazio
2nd Year Computer Science /
Computer Engineering
Honors
Jenna Ryan
2nd Year Computer Science /
Math
Honors
Alex Kupin
2nd Year Computer Science
Justin Opini
2nd Year Computer Science
Honors
Elim Schenck
2nd Year Computer Engineering

ALUMNI

Marc Bishop
MS, Electrical Engineering
Currently at AFRL
Lintao Guo
MS, Computer Science
Currently at Huawei
Matthew Inkawhich
BS, Software Engineering
Doing a Ph.D. at Duke University
Benjamin Lowit
BS, Computer Engineering
Currently at Epic Systems
Scott Straw
BS, Computer Engineering
Currently at Ensign-Bickford
Gus Naughton
Currently at GE
Hunter Quant
BS, Computer Science

PUBLICATIONS

[DBB2018] T. Dunn, S. Banerjee, and N. K. Banerjee (2018). User-Independent Detection of Swipe Pressure using a Thermal Camera for Natural Surface Interaction. 20th International Workshop on Multimedia Signal Processing (MMSP), Vancouver, Canada.

[JL*2018] 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. International Conference on Multimedia and Expo Workshops (ICMEW), San Diego, CA.

[JD*2018] 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. International Conference on Multimedia and Expo (ICME), San Diego, CA.

[GH*2018a] 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. 4th International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Madeira, Portugal.
[PDF]

[GQ*2018a] 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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]

[GQ*2018b] 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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

[LBB2018] 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. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

[QBB2018] H. Quant, S. Banerjee, and N. K. Banerjee (2018). A Virtual Reality Interface for Interactions with Spatiotemporal 3D Data. The 24th International Conference on Multimedia Modeling, Bangkok, Thailand.
[PDF]  [Video]

[BSB2017] N. Banerjee, M. Simms, and S. Banerjee (2017). Image-based Keyword Search and Activity Retrieval for Social Medial Forensics. 12th Annual Symposium on Information Assurance (co-located with 20th Annual New York State Cyber Security Conference), Albany, New York.

[DBB2016] T. Dunn, N. Banerjee, and S. Banerjee (2016). GPU Acceleration of Document Similarity Measures for Automated Bug Triaging. 1st International Workshop on Software Faults (co-located with 27th International Symposium on Software Reliability Engineering, ISSRE), Ottawa, Canada.
[PDF]

[FSB2016] T. Fanelli, S. Simons, and S. Banerjee (2016). A Systematic Framework for Modernizing Legacy Application Systems. 23rd Int'l. Conference of Sofware Analysis, Evolution, and Reengineering, Osaka, Japan.

PRESS

Copyright © Natasha Kholgade Banerjee. All rights reserved.