ABOUT TARS
DIRECTORS
At the Terascale All-sensing Research Studio (TARS) at Clarkson University, 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 two multi-modal sensing spaces---the Gazebo, a dense multi-modal sensing space consisting of 16 Kinect sensors, 192 226-FPS color cameras, 16 thermal cameras, 16 sEMG sensors, 16 AMD Ryzen machines each with a 1080 Ti GPU, and 24 Intel 6-core machines to study multi-person interactions, and the Cube, a space with 4 Kinects, 5 thermal cameras, and 4 226-FPS color cameras to study two-person interactions. It also houses two Kinova Gen3 robotic manipulators, one LoCoBot mobile robot manipulator, multiple lab-built drones, a lab-built walker robot, and several VR systems, 3D printers, 3D scanners, a compute cluster with 275,000+ CUDA cores and 4,800+ Tensor cores spread over 50+ GPUs, and a 2+ petabyte data center. The core of our work is in understanding how humans perform tasks in the real-world, to inform next generation artificial intelligence (AI), robotics, and virtual reality. Our research spans computer vision, deep learning, computer graphics, and human-computer interaction. The studio is funded through multiple NSF grants.
We look for graduate and undergraduate students with excellent academic credentials, substantial project work in computer science and AI (at the graduate level) and a strong drive to perform research with us. 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.
SELECT PUBLICATIONS


N. Lamb, B. Molloy, C. Palmer, S. Banerjee, and N. K. Banerjee (2023). Fantastic Breaks: A Dataset of Paired 3D Scans of Real-World Broken Objects and Their Complete Counterparts. IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Canada.


G. Kaur, S. Banerjee, and N. K. Banerjee (2023). Perception of Human-Robot Collaboration Across Countries and Job Domains. IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO), Berlin, Germany.

G. Kaur, S. Banerjee, and N. K. Banerjee (2023). Studying Worker Perceptions on Safety, Autonomy, and Job Security in Human-Robot Collaboration. International Conference on Automation, Robotics and Applications (ICARA), Abu Dhabi, UAE

X. Song, N. Lamb, S. Banerjee, and N. K. Banerjee (2023). Reinforcement-Learning Based Robotic Assembly of Fractured Objects Using Visual and Tactile Information. International Conference on Automation, Robotics and Applications (ICARA), Abu Dhabi, UAE




J. Judge, P. R. K. Prosun, O. Talmage, A. Dykeman, S. Banerjee, and N. K. Banerjee (2022). Predicting Weight and Strenuousness from High-Speed Videos of Subjects Attempting Lift. IEEE Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE).

A. Dykeman, J. Judge, P. R. K. Prosun, G. Kaur, O. Talmage, S. Banerjee, and N. K. Banerjee (2022). Post-Lift Analysis of Thermal Imprint for Weight and Effort Detection. IEEE Conference on Connected Health: Applications, Systems, and Engineering Technologies (CHASE).

R. Turner, N. K. Banerjee, and S. Banerjee (2022). Using Video Motion Vectors for Structure from Motion 3D Reconstruction. International Conference on Signal Processing and Multimedia Applications (SIGMAP).





R. Miller, N. K. Banerjee, and S. Banerjee (2021). Using Siamese Neural Networks to Perform Cross-System Behavioral Authentication in Virtual Reality. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR).

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.

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.


D. Gwinn, J. Helmick, N. K. Banerjee, and S. Banerjee (2019). Comparison of Traditional and Constrained Recursive Clustering Approaches for Generating Optimal Census Block Group Clusters. Communications in Computer and Information Science.

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.

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 Intl. Conf. on Multimedia and Expo Workshops (ICMEW), San Diego, CA.

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, 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.


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.



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.

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.
AWARDS
Best Student Paper Runner Up at 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies
Best Paper at 2022 International Conference on Signal Processing and Multimedia Applications
Best Paper Honorable Mention at 2022 IEEE Conference on Virtual Reality and 3D User Interfaces
Best Student Paper at 2019 International Conference on Artificial Intelligence & Virtual Reality
Best Paper Candidate at 2019 International Conference on Multimedia Modeling
Top 5% Paper Award at 2018 Multimedia Signal Processing Workshop
PEOPLE


PhD STUDENTS

Computer Science

Computer Science

Computer Science

Computer Science

Computer Science

Computer Science

Computer Science

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Computer Science
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MS STUDENTS

Computer Science
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Computer Science
UNDERGRADUATE STUDENTS
Computer Science

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ALUMNI

Computer Science

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Computer Science
Copyright © Natasha Kholgade Banerjee. All rights reserved.