ABOUT TARS
DIRECTORS
At the Terascale All-sensing Research Studio (TARS), 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.
PUBLICATIONS
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M. Li, N. K. Banerjee, and S. Banerjee. Using Motion Forecasting for Behavior-Based Virtual Reality (VR) Authentication. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024. [Best Paper]
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M. Duver, N. Wiederhold, M. Kyrarini, S. Banerjee, and N. K. Banerjee. VR-Hand-in-Hand: Using Virtual Reality (VR) Hand Tracking For Hand-Object Data Annotation. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024. [Best Demo]
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J. Minnekanti, N. K. Banerjee, and S. Banerjee. ClassesInVR: An Immersive VR-Based Classroom. VR-Hand-in-Hand: Using Virtual Reality (VR) Hand Tracking For Hand-Object Data Annotation. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024.
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M. White, A. Kupin, S. Inzerillo, N. K. Banerjee, and S. Banerjee. Evaluating the Effectiveness of VR Classrooms as a Replacement for Traditional Asynchronous Video-based Learning Environments. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024.
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E. Matzek, T. Yankee, O. Kohler, T. Lipke-Perry, N. K. Banerjee, and S. Banerjee. VRmonic: A VR Piano Playing Form Trainer. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024.
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M. White, N. K. Banerjee, and S. Banerjee. VRcabulary: A VR Environment for Reinforced Language Learning via Multi-Modular Design. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024.
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M. Li, N. Zafar, N. K. Banerjee, and S. Banerjee. Evaluating Deep Networks for Detecting User Familiarity with VR from Hand Interactions. IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR), Los Angeles, California, 2024.
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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.
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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.
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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
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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
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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).
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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). [Best Student Paper Runner Up]
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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). [Best Paper]
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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).
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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.
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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.
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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.
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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].
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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.
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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.
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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.
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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].
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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.
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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.
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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].
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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.
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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.
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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.
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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 Paper Award at 2024 IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR)
Best Demo Award at 2024 IEEE International Conference on Artificial Intelligence & extended and Virtual Reality (AIxVR)
Clarkson Technology Showcase & Competition, Audience Choice in Promising Tech Category, 2022
Best Student Paper Runner Up at 2022 IEEE/ACM International Conference on Connected Health: Applications, Systems and Engineering Technologies (CHASE)
Best Paper at 2022 International Conference on Signal Processing and Multimedia Applications (SIGMAP)
Best Paper Honorable Mention at 2022 IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR)
Best Student Paper at 2019 International Conference on Artificial Intelligence & Virtual Reality (AIVR)
Best Paper Candidate at 2019 International Conference on Multimedia Modeling (MMM)
Top 5% Paper Award at 2018 Multimedia Signal Processing Workshop (MMSP)
WORKSHOPS & TUTORIALS
Check out the upcoming and past workshops organized by TARS.
UPCOMING WORKSHOPS
- Workshop on Human Behavior Data Acquisition for Human-Robot Interaction (HUBEDA) 2024 co-located with IEEE RO-MAN (Aug 30, 2024)
PAST WORKSHOPS
- Workshop AIVR4Exergame: AI and AR/VR for Exergaming co-located with IEEE AIxVR 2024
- Workshop on Security and Privacy for Immersive Virtual Worlds (Secure Immersive Worlds) co-located with IEEE VR 2023
- Workshop on VR for Exergaming (VR4Exergame) co-located with IEEE VR 2023
TUTORIALS
Visit our tutorials webpage on integrating multimodal sensing with VR.
PEOPLE
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PhD STUDENTS
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
Computer Science
MS STUDENTS
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Computer Science
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Computer Science
GRADUATE ALUMNI
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
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Computer Science
Copyright © Natasha Kholgade Banerjee. All rights reserved.