N. Lamb, S. Banerjee, and N. K. Banerjee (2022). DeepJoin: Learning a Joint Occupancy, Signed Distance, and Normal Field Function for Shape Repair. SIGGRAPH Asia.

[Paper]  [Video]  [Code]

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).

[Paper]

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).

[Paper]

N. Lamb, S. Banerjee, and N. K. Banerjee (2022). DeepMend: Learning Occupancy Functions to Represent Shape for Repair. European Conference on Computer Vision (ECCV).

[Paper]  [Video]  [Code]

N. Lamb, S. Banerjee, and N. K. Banerjee (2022). MendNet: Restoration of Fractured Shapes Using Learned Occupancy Functions. Computer Graphics Forum (CGF, Proc. Symposium on Computer Graphics, SGP).

[Paper]  [Video]  [Code]

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).

[Paper]

R. Miller, N. K. Banerjee, and S. Banerjee (2022). Combining Real-World Constraints on User Behavior with Deep Neural Networks for Virtual Reality (VR) Biometrics. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR).

[Paper]  [Video]  [Code]

R. Miller, N. K. Banerjee, and S. Banerjee (2022). Temporal Effects in Motion Behavior for Virtual Reality (VR) Biometrics. IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR).

[Paper]  [Video]  [Code]

R. Miller, N. K. Banerjee, and S. Banerjee (2022). Using External Video to Attack Behavior-Based Security Mechanisms in Virtual Reality (VR). IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR).

[Paper]  [Video]  [Code]

N. Lamb, N. Wiederhold, B. Lamb, S. Banerjee, and N. K. Banerjee (2021). Using Learned Visual and Geometric Features to Retrieve Complete 3D Proxies for Broken Objects. ACM Symposium on Computational Fabrication (SCF).

[Paper]  [Code]

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).

[Paper]

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.

[Paper]

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.

[Paper]

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.

[Paper]  [Video]

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.

[Paper]

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].

[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.

[Paper]  [Presentation]  [Video]

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.

[Paper]

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.

[Paper]

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].

[Paper]

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.

[Paper]

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.

[Paper]

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].

[Paper]

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.

[Paper]

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.

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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.

[Paper]

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. Intl. Conf. on Multimedia Modeling (MMM), Bangkok, Thailand.

[Paper]  [Video]

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.

[Paper]  [Video]

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.

[Paper]

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.

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