Mehlhorn, K. (Ed.): Workshop über Komplexitätstheorie, Effiziente Algorithmen und Datenstrukturen (Interner Bericht / Fachbereich Informatik, 87,4). Workshop über Komplexitätstheorie, Effiziente Algorithmen und Datenstrukturen, Frankfurt, Main, Germany, February 03, 1987. Johann Wolfgang Goethe-Universität, Frankfurt/Main (1987), 10 pp.

Makedon, F.; Mehlhorn, K.; Papatheodorou, T. S.; Spirakis, P. G. (Eds.): VLSI Algorithms and Architectures (Lecture Notes in Computer Science, 227). Aegean Workshop on Computing 1986, Loutraki, Greece, July 08, 1986 - July 11, 1986. Springer, Berlin (1986), 328 pp.

Mehlhorn, K. (Ed.): STACS 85 (Lecture Notes in Computer Science, 182). STACS 1985, Saarbrücken, January 03, 1985 - January 05, 1985. Springer, Berlin (1985), 374 pp.

Fontet, M.; Mehlhorn, K. (Eds.): STACS 84 (Lecture Notes in Computer Science, 166). STACS 1984, Paris, April 11, 1984 - April 13, 1984. Springer, Berlin (1984)

Ahmed, N.; Kukleva, A.; Schiele, B.: OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Akada, H.; Wang, J.; Golyanik, V.; Theobalt, C.: 3D Human Pose Perception from Egocentric Stereo Videos. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Das, D.; Wewer, C.; Yunus, R.; Ilg, E.; Lenssen, J. E.: Neural Parametric Gaussians for Monocular Non-Rigid Object Reconstruction. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Ghosh, S.; Razniewski, S.; Graux, D.; Weikum, G.: CardiO: Predicting Cardinality from Online Sources. In: The ACM Web Conference 2024. ACM Web Conference, Singapore, May 13, 2024 - May 17, 2024. ACM, New York, NY (accepted)

He, Y.; Tiwari, G.; Birdal, T.; Lenssen, J. E.; Pons-Moll, G.: NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Jia, Z.; Christmann, P.; Weikum, G.: Faithful Temporal Question Answering over Heterogeneous Sources. In: The ACM Web Conference 2024. ACM Web Conference, Singapore, May 13, 2024 - May 17, 2024. ACM, New York, NY (accepted)

Kaushik, P.; Kortylewski, A.; Yuille,, A.: A Bayesian Approach to OOD Robustness in Image Classification. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Kukleva, A.; Sener, F.; Remelli, E.; Tekin, B.; Sauser, E.; Schiele, B.; Ma, S.: X-MIC: Cross-Modal Instance Conditioning for Egocentric Action Generalization. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Li, Y.; Keuper, M.; Zhang, D.; Khoreva, A.: Adversarial Supervision Makes Layout-to-Image Diffusion Models Thrive. In: The Twelfth International Conference on Learning Representations, pp. 1 - 23. Twelfth International Conference on Learning Representations, Vienna, Austria, May 07, 2024 - May 11, 2024. OpenReview.net (2024)

Liao, Z.; Golyanik, V.; Habermann, M.; Theobalt, C.: VINECS: Video-based Neural Character Skinning. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Liu, Q.; Zhang, Y.; Bai, S.; Kortylewski, A.; Yuille, A. L.: DIRECT-3D: Learning Direct Text-to-3D Generation on Massive Noisy 3D Data. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Long, X.; Guo, Y.-C.; Lin, C.; Liu, Y.; Dou, Z.; Liu, L.; Ma, Y.; Zhang, S.-H.; Habermann, M.; Theobalt, C. et al.; Wang, W.: Wonder3D: Single Image to 3D using Cross-Domain Diffusion. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Millerdurai, C.; Akada, H.; Wang, J.; Luvizon, D.; Theobalt, C.; Golyanik, V.: EventEgo3D: 3D Human Motion Capture from Egocentric Event Streams. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 37th IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Mughal, M. H.; Dabral, R.; Habibie, I.; Donatelli, L.; Habermann, M.; Theobalt, C.: ConvoFusion: Multi-Modal Conversational Diffusion for Co-Speech Gesture Synthesis. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Pang, H.; Zhu, H.; Kortylewski, A.; Theobalt, C.; Habermann, M.: ASH: Animatable Gaussian Splats for Efficient and Photoreal Human Rendering. In: IEEE/CVF Conference on Computer Vision and Pattern Recognition. 41st IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, June 17, 2024 - June 21, 2024. IEEE, Piscataway, NJ (accepted)

Saha, E.; Fanfani, V.; Mandros, P.; Ben-Guebila, M.; Fischer, J.; Hoff-Shutta, K.; Glass, K.; DeMeo, D. L.; Lopes-Ramos, C.; Quackenbush, J.: Bayesian Optimized sample-specific Networks Obtained By Omics data (BONOBO). In: Proceedings of the 28th Annual International Conference on Research in Computational Molecular Biology. 28th Annual International Conference on Research in Computational Molecular Biology, Cambridgte, MA, USA, April 29, 2024 - May 02, 2024. (accepted)