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VisualLabel: An Integrated Multimedia Content Management and Access Framework.

, , , , , , , , , , , , , and . EJC, volume 301 of Frontiers in Artificial Intelligence and Applications, page 321-342. IOS Press, (2017)

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Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation., , and . CoRR, (2018)Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing., , and . CoRR, (2019)Image and Video Captioning with Augmented Neural Architectures., , and . IEEE Multim., 25 (2): 34-46 (2018)VisualLabel: An Integrated Multimedia Content Management and Access Framework., , , , , , , , , and 4 other author(s). EJC, volume 301 of Frontiers in Artificial Intelligence and Applications, page 321-342. IOS Press, (2017)Not Using the Car to See the Sidewalk - Quantifying and Controlling the Effects of Context in Classification and Segmentation., , and . CVPR, page 8218-8226. Computer Vision Foundation / IEEE, (2019)Can Saliency Information Benefit Image Captioning Models?, , , and . CoRR, (2017)Frame- and Segment-Level Features and Candidate Pool Evaluation for Video Caption Generation., and . ACM Multimedia, page 1073-1076. ACM, (2016)Towards Automated Testing and Robustification by Semantic Adversarial Data Generation., , and . ECCV (2), volume 12347 of Lecture Notes in Computer Science, page 489-506. Springer, (2020)Adversarial content manipulation for analyzing and improving model robustness.. Saarland University, Saarbrücken, Germany, (2021)Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection., , , , , and . ICCV, page 9184-9193. IEEE, (2021)