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Dive into the research topics where David Doermann is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Grants & Projects
- 10 Finished
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SBIR: The Recovery of Legacy Engineering Data from Charts III
Doermann, D. (PI)
US Air Force Office of Scientific Research
11/1/22 → 12/30/23
Project: Research
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DURIP - Reasons: Resilient, Adaptive, Scalable, Autonomy in Networked Swarms
Dantu, K. (PI), Chowdhury, S. (CoI), Doermann, D. (CoI), Murray, C. (CoI) & Qiao, C. (CoI)
US Air Force Office of Scientific Research
03/15/22 → 04/14/25
Project: Research
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STTR: The Recovery of Legacy Engineering Data from Charts
Doermann, D. (PI)
US Air Force Office of Scientific Research
08/6/21 → 10/6/22
Project: Research
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CWCD: Category-Wise Contrastive Decoding for Structured Medical Report Generation
Srivastava, S., Bhosale, M., Doermann, D. & Gao, M., 2026, In: Proceedings of Machine Learning Research. 315, p. 868-893 26 p.Research output: Contribution to journal › Conference article › peer-review
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From pixels to strokes: A survey on generative handwriting
Joshi, P., Patil, Y. M., Saha, S. & Doermann, D., 2026, (Accepted/In press) In: International Journal on Document Analysis and Recognition.Research output: Contribution to journal › Article › peer-review
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Preoperative Prediction of Esophageal Cancer Survival in CT via Tumor and Lymph Node Context and Geometry Modeling
Gong, X., Li, J., Wang, Y., Li, H., Yao, J., Zhong, L., Guo, D., Yan, K., Doermann, D., Lu, L., Jiao, F., Ho, T. Y., Zhang, L., Abuduxuku, A., Wang, H., Ye, X., Jin, D. & Wang, Q., Jun 2026, In: IEEE Transactions on Medical Imaging. 45, 6, p. 3111-3123 13 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Textured Geometry Evaluation: Perceptual 3D Textured Shape Metric via 3D Latent-Geometry Network
Luan, T., Feng, X., Zhu, Z., Nuney, P., Liu, S., Gong, X., Doermann, D., Qiao, C. & Yuan, J., 2026, In: Proceedings of the AAAI Conference on Artificial Intelligence. 40, 9, p. 7653-7661 9 p.Research output: Contribution to journal › Conference article › peer-review
Open Access -
DFM: Differentiable Feature Matching for Anomaly Detection
Wu, S., Wang, Y., Liu, X., Yang, Y., Wang, R., Guo, G., Doermann, D. & Zhang, B., 2025, In: Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 15224-15233 10 p.Research output: Contribution to journal › Conference article › peer-review
4 Scopus citations