PUB - Publikationen an der Universität Bielefeld

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• [10]
  

  2024 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2989164

  Velioglu, R., Chan, R.K.-W. & Hammer, B. (2024). FashionFail: Addressing Failure Cases in Fashion Object Detection and Segmentation (IEEE International Joint Conference on Neural Networks (IJCNN). 2024 International Joint Conference on Neural Networks (IJCNN). Gehalten auf der 2024 International Joint Conference on Neural Networks (IJCNN), New York: Institute of Electrical and Electronics Engineers (IEEE). doi:10.1109/IJCNN60899.2024.10651287.

  PUB | DOI | WoS | arXiv
   
• [9]
  

  2024 | Preprint | PUB-ID: 2999454

  Velioglu, R., Bevandic, P., Chan, R. & Hammer, B. (2024). TryOffDiff: Virtual-Try-Off via High-Fidelity Garment Reconstruction using Diffusion Models. arXiv:2411.18350.

  PUB | arXiv
   
• [8]
  

  2022 | Sammelwerksbeitrag | Veröffentlicht | PUB-ID: 2967296

  Velioglu, R., Göpfert, J.P., Artelt, A. & Hammer, B. (2022). Explainable Artificial Intelligence for Improved Modeling of Processes (Lecture Notes in Computer Science). In H. Yin, D. Camacho & P. Tino (Hrsg.), Intelligent Data Engineering and Automated Learning – IDEAL 2022. 23rd International Conference, IDEAL 2022, Manchester, UK, November 24–26, 2022, Proceedings (S. 313-325). Gehalten auf der 23rd International Conference on Intelligent Data Engineering and Automated Learning (IDEAL 2022), Cham: Springer International Publishing. doi:10.1007/978-3-031-21753-1_31.

  PUB | DOI
   
• [7]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982067

  Hermes, L., Hammer, B., Melnik, A., Velioglu, R., Vieth, M. & Schilling, M. (2022). A Graph-based U-Net Model for Predicting Traffic in unseen Cities. 2022 International Joint Conference on Neural Networks (IJCNN) (S. 1-8). Gehalten auf der 2022 International Joint Conference on Neural Networks (IJCNN), IEEE. doi:10.1109/IJCNN55064.2022.9892453.

  PUB | DOI
   
• [6]
  

  2022 | Zeitschriftenaufsatz | Veröffentlicht | PUB-ID: 2961319

  Ozdemir, O., Akin, E.S., Velioglu, R. & Dalyan, T. (2022). A comparative study of neural machine translation models for Turkish language. Journal of Intelligent & Fuzzy Systems , 42(3), 2103-2113. IOS. doi:10.3233/JIFS-211453.

  PUB | DOI | WoS
   
• [5]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2962747

  Artelt, A., Vaquet, V., Velioglu, R., Hinder, F., Brinkrolf, J., Schilling, M. & Hammer, B. (2021). Evaluating Robustness of Counterfactual Explanations. 2021 IEEE Symposium Series on Computational Intelligence (SSCI) (S. 01-09). Gehalten auf der 2021 IEEE Symposium Series on Computational Intelligence (SSCI), Piscataway, NJ: IEEE. doi:10.1109/SSCI50451.2021.9660058.

  PUB | DOI
   
• [4]
  

  2021 | Dissertation | PUB-ID: 2989295

  Velioglu, R. (2021). Detecting Hate Speech In Multimodal Memes Using Vision-Language Models.

  PUB | PDF
   
• [3]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2982064

  Kiela, D., Firooz, H., Mohan, A., Goswami, V., Singh, A., Fitzpatrick, C.A., Bull, P., Lipstein, G., Nelli, T., Zhu, R., Muennighoff, N., Velioglu, R., Rose, J., Lippe, P., Holla, N., Chandra, S., Rajamanickam, S., Antoniou, G., Shutova, E., Yannakoudakis, H., Sandulescu, V., Ozertem, U., Pantel, P., Specia, L. & Parikh, D. (2021). The Hateful Memes Challenge: Competition Report (Proceedings of Machine Learning Research). In H.J. Escalante & K. Hofmann (Hrsg.), Proceedings of the NeurIPS 2020 Competition and Demonstration Track (S. 344-360). Gehalten auf der NeurIPS 2020, PMLR.

  PUB
   
• [2]
  

  2020 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965471

  Velioglu, R. & Rose, J. (2020). Detecting Hate Speech in Memes Using Multimodal Deep Learning Approaches: Prize-winning solution to Hateful Memes Challenge. arXiv:2012.12975. Gehalten auf der NeurIPS.

  PUB | arXiv
   
• [1]
  

  2018 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2965472

  Velioglu, R., Yildiz, T. & Yildirim, S. (2018). Sentiment Analysis Using Learning Approaches Over Emojis for Turkish Tweets. 2018 3rd International Conference on Computer Science and Engineering (UBMK) (S. 303-307). Gehalten auf der 2018 3rd International Conference on Computer Science and Engineering (UBMK), IEEE. doi:10.1109/UBMK.2018.8566260.

  PUB | DOI