Research

Peer-Reviewed Publications

  1. M. Neuwirth-Trapp, S. Godavarthy, T.-F. Faasch, M. Bieshaar, M. Moeller, and D. P. Paudel, “MULTI: Disentangling Camera Lens, Sensor, View, and Domain for Novel Image Generation,” accepted at ICPR 2026 (oral).

  2. S. Godavarthy, M. Neuwirth-Trapp, T.-F. Faasch, M. Bieshaar, M. Moeller, K. Van Laerhoven, and D. P. Paudel, “X-MULTI: VLM-based Imaging Factor Disentanglement for Factor-Aware Image Synthesis,” accepted at ECCV Workshops 2026.

  3. M. Neuwirth-Trapp, M. Bieshaar, D. P. Paudel, K. Schindler, L. Van Gool, and C. Sakaridis, “MECAIL: Communication-Aware Incremental Learning for Object Detection with 14.6 KB Spatiotemporal Experts,” accepted at ITSC 2026 (oral).

  4. M. Neuwirth-Trapp, B. Altunbas, J. Wang, Y. Xia, M. Bieshaar, X. Huang, L. Ren, and D. Cremers, “MIVIFI: Bridging Perspective and Fisheye Domains for Training Multi-View Fisheye Image Generation Models,” accepted at ITSC 2026 (oral).

  5. M. Neuwirth-Trapp, M. Bieshaar, D. P. Paudel, and L. Van Gool, “RICO: Two Realistic Benchmarks and an In-Depth Analysis for Incremental Learning in Object Detection,” ICCV Workshops 2025 (oral, Best Paper Award).

  6. M. Neuwirth-Trapp, M. Bieshaar, D. P. Paudel, and L. Van Gool, “Incremental Object Detection with Prompt-based Methods,” ICCV Workshops 2025.

  7. N. Feltin, L. Crouzier, A. Delvallee, F. Pellegrino, V. Maurino, D. Bartczak, H. Goenaga-Infante, O. Tache, S. Marguet, F. Testard, S. Artous, F. Saint-Antonin, C. Salzmann, J. Deumer, C. Gollwitzer, R. Koops, N. Sebaihi, R. Fontanges, M. Neuwirth, et al., “Metrological protocols for reaching reliable and SI-traceable size results for multi-modal and complexly shaped reference nanoparticles,” Nanomaterials, vol. 13, no. 6, p. 993, 2023.