Publikationen von Prof. Dr. Erik Rodner
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KonferenzbeitragAn Intelligent Camera Tracking System for Live Stage Performances
Borchers-Tigasson, Steffen; Rodner, Erik. In: Proceedings. 33. Workshop Computational Intelligence. Karlsruhe, Germany: 2023, S. 143-154.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragBlind Video Stabilization Quality Assessment based on convolutional LSTM
Yagoubi, Mohamed Riad et al. In: 11th European Workshop on Visual Information Processing, {EUVIP} 2023. Gjovik, Norway: 2023, S. 1-6.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragCAD Models to Real-World Images: A Practical Approach to Unsupervised Domain Adaptation in Industrial Object Classification
Ritter, Dennis et al. In: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), Workshop Adapting to Change: Reliable Learning Across Domains. Turin, Italy: 2023, S. 1-9.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragCost-sensitive best subset selection for logistic regression: a mixed-integer conic optimization perspective
Knauer, Ricardo; Rodner, Erik. In: Proceedings of the KI 2023 Conference. Berlin: 2023, S. 114-129.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragDecoupled Semantic Prototypes enable learning from diverse annotation types for semi-weakly segmentation in expert-driven domains
Reiß, Simon et al. In: 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). Vancouver: 2023, S. 15495-15506.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragEvaluating Zero-cost Active Learning for Object Detection
Rodner, Erik et al. In: Proceedings of the Berlin Workshop of Artificial Intelligence for Engineering Applications. Berlin: 2023, S. 1-11.
Konferenzbeitrag › Konferenzpaper › 2023 -
KonferenzbeitragFoundations for applied artificial intelligence: enabling and supporting AI teaching and research
Knauer, Ricardo et al. In: INFORMATIK 2023 - Designing Futures: Zukünfte gestalten. Bonn: 2023, S. 353-356.
Konferenzbeitrag › Abstract › 2023 -
KonferenzbeitragGraph-constrained Contrastive Regularization for Semi-weakly Volumetric Segmentation
Rodner, Erik. In: Proceedings of the European Conference on Computer Vision (ECCV). Tel Aviv: 2022, S. 1-8.
Konferenzbeitrag › Konferenzpaper › 2022 -
KonferenzbeitragOpenPredict - An Open Research Dataset and Evaluation Protocol for Fine-grained Predictive Testing
Brodmann, David; Rodner, Erik. In: 35. AKWI Jahrestagung 2022. Berlin: 2022, S. 1-8.
Konferenzbeitrag › Konferenzpaper › 2022 -
KonferenzbeitragEvery Annotation Counts: Multi-label Deep Supervision for Medical Image Segmentation
Reiß, Simon et al. In: 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021. US: 2021, S. 9527-9537.
Konferenzbeitrag › Konferenzpaper › 2021 -
ArtikelThe whole is more than its parts? From explicit to implicit pose normalization.
Simon, Marcel et al. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 42, 3. (2020), S. 749-763.
Artikel › Journalartikel › 2020 -
ArtikelDetecting Regions of Maximal Divergence for Spatio-Temporal Anomaly Detection
Barz, Björn; Rodner, Erik; Guanche Garcia, Yanira; Denzler, Joachim. In: IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 41, 5. (2019), S. 1088-1101.
Artikel › Journalartikel › 2019