Publications

Peer Reviewed Publications

Seefried, Ethan, et al. “Balancing Quality and Quantity: The Impact of Synthetic Data on Smoke Detection Accuracy in Computer Vision.” Synthetic Data for Computer Vision Workshop@ CVPR 2024. 2024.

Fitzgerald, J., Seefried, E., Yost, J. E., Pallickara, S., & Blanchard, N. (2023, October). Paying Attention to Wildfire: Using U-Net with Attention Blocks on Multimodal Data for Next Day Prediction. In Proceedings of the 25th International Conference on Multimodal Interaction (pp. 470-480).

Seefried, Ethan, et al. “Learning Foreign Language Vocabulary Through Task-Based Virtual Reality Immersion.” International Conference on Human-Computer Interaction. Cham: Springer Nature Switzerland, 2024.

Bradford, M., Seefried, E., Krishnaswamy, N., & Blanchard, N. (2024). Thematic Analysis of Foreign Language Learning in a Virtual Environment.

Arxiv

Nath, A., Jung, C., Seefried, E., & Krishnaswamy, N. (2024). Simultaneous Reward Distillation and Preference Learning: Get You a Language Model Who Can Do Both. arXiv preprint arXiv:2410.08458.

Thesis

E Seefried - 2024, Smoke+: A Video Dataset for Automated Fine-Grained Assessment of Smoke Opacity

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