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AXES-RESEARCH - A user-oriented tool for enhanced multimodal search and retrieval in audiovisual libraries.

, , , , and . CBMI, page 1-4. IEEE, (2014)

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People, Penguins and Petri Dishes: Adapting Object Counting Models To New Visual Domains And Object Types Without Forgetting., , , , and . CoRR, (2017)Bags of Local Convolutional Features for Scalable Instance Search., , , , , and . ICMR, page 327-331. ACM, (2016)PathGAN: Visual Scanpath Prediction with Generative Adversarial Networks., , , and . ECCV Workshops (5), volume 11133 of Lecture Notes in Computer Science, page 406-422. Springer, (2018)Holistic features for real-time crowd behaviour anomaly detection., , , and . ICIP, page 918-922. IEEE, (2016)The AXES PRO video search system., , , , , , , , , and . ICMR, page 307-308. ACM, (2013)Wav2Pix: Speech-conditioned Face Generation Using Generative Adversarial Networks., , , , , , , , , and . ICASSP, page 8633-8637. IEEE, (2019)TRECVID 2010 Experiments at Dublin City University., , , , , , , , , and 3 other author(s). TRECVID, National Institute of Standards and Technology (NIST), (2010)Unsupervised label noise modeling and loss correction., , , , and . CoRR, (2019)Saliency Weighted Convolutional Features for Instance Search., , , and . CBMI, page 1-6. IEEE, (2018)Assessing Knee OA Severity with CNN attention-based end-to-end architectures., , , , and . MIDL, volume 102 of Proceedings of Machine Learning Research, page 197-214. PMLR, (2019)