Castillon, I., Venkatesha, V., Caglar, T., Liu, X., Cleary, A., and Blanchard, N. (2023). Predicting the Occurrence of Déjà Vu using Eye Features. In Association for Computing Machinery Graduate Student Research Competition, awarded 3rd place. CMD-IT/ACM Richard Tapia Celebration of Diversity in Computing Conference.
VanderHoeven, H., Blanchard, N., and Krishnaswamy, N. (2023). Robust Motion Recognition using Gesture Phase Annotation. In International Conference on Human-Computer Interaction (HCII). Springer.
Kandoi, C., Jung, C., Mannan, S., VanderHoeven, H., Meisman, Q., Krishnaswamy, N., and Blanchard, N. (2023). Intentional Microgesture Recognition for Extended Human-Computer Interaction. In International Conference on Human-Computer Interaction (HCII). Springer.
Kuvar, V., Blanchard, N., Colby, A., Allen, L., & Mills, C. (2022). Automatically detecting task-unrelated thoughts during conversations using keystroke analysis. User Modeling and User-Adapted Interaction, 1-25.
Castillon, I., Venkatesha, V., VanderHoeven, H., Bradford, M., Krishnaswamy, N., and Blanchard, N. (2022). Multimodal Features for Group Dynamic-Aware Agents. In Workshop on Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking (Bridging AIEd). International AIEd Society.
Bradford, M., Hansen, P., Lai, K., Brutti, R., Dickler, R., Hirshfield, L. M., Pustejovsky, J., Blanchard, N., and Krishnaswamy, N. (2022). Challenges and Opportunities in Annotating a Multimodal Collaborative Problem Solving Task. In Workshop on Interdisciplinary Approaches to Getting AI Experts and Education Stakeholders Talking (Bridging AIEd). International AIEd Society.
Jamil, H., Liu, Y., Cole, C., Blanchard, N., King, E., Kirby, M., Peterson, C., (2022). Dual Graphs of Polyhedral Decompositions for the Detection of Adversarial Attacks. The 6th Workshop on Graph Techniques for Adversarial Activity Analytics (GTA3 2022).
Krishnaswamy, N., Pickard, W., Cates, B., Blanchard, N., and Pustejovsky, J. (2022). The VoxWorld Platform for Multimodal Embodied Agents. In Language Resources and Evaluation Conference (LREC). ACL.
Bradford, M., Hansen, P., Beveridge, R., Krishnaswamy, N., and Blanchard, N. (2022). A deep dive into microphones for recording collaborative group work. In International Conference on Educational Data Mining (EDM). International Educational Data Mining Society.
McNeely-White, D., *Sattelberg, B., Blanchard, N., Beveridge, R. (2022). Canonical Face Embeddings. IEEE Transactions on Biometrics, Behavior, and Identity Science (TBIOM). IEEE.
Gorbett, M., Blanchard, N. (2022). Utilizing network properties to detect erroneous inputs. In Proceedings 2022 IEEE Winter Conference on Applications of Computer Vision (WACV) Workshops. IEEE.
Roygaga, C., *Patil, D., *Boyle, M., Reiser, R., Bharati, A., Blanchard, N. (2022) APE-V: Athlete Performance Evaluation using Video. In Proceedings 2022 IEEE Winter Conference on Applications of Computer Vision (WACV) Workshops. IEEE.
Danilyuk, E. (2022) PortfoliU Project: Investigating an Open-Source Repository of Personal Portfolio Websites and How they Benefit Computer Science Students. 2022 Rocky Mountain Conference for Women in Computing. Poster + Invited Talk.
Krishnaswamy, N., *Pickard, W., *Cates, B., Blanchard., N., Pustejovsky, J. (2022) The VoxWorld Platform for Multimodal Embodied Agents. In Proceedings of the International Conference on Language Resources and Evaluation (LREC) 2022.
A. Trabelsi, M. Chaabane, N. Blanchard and R. Beveridge, "A Pose Proposal and Refinement Network for Better 6D Object Pose Estimation," 2021 IEEE Winter Conference on Applications of Computer Vision (WACV), Waikoloa, HI, USA, 2021, pp. 2381-2390, doi: 10.1109/WACV48630.2021.00243.
Sakimoto, S. E. H., Lewis, D. D., *Dileep, S., Memon, P., Beveridge, J. R., Blanchard, N., ... & Carley, T. L. (2021). Deep Learning for an Inventory of Small to Midsize Volcanic Edifices on Mars. In 52nd Lunar and Planetary Science Conference.
Dileep, S., Zimmerle, D., Beveridge, R., and Vaughn, T. (2020). Automated Identification of Oil Field Features using CNNs. In NeurIPS 2020 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems.
Chaabane, M., Trabelsi, A., Blanchard, N., & Beveridge, R. (2020). Looking Ahead: Anticipating Pedestrians Crossing with Future Frames Prediction. In 2019 IEEE Winter Conference on Applications of Computer Vision (WACV). IEEE.