Researcher Portfolio
Shetty, Rakshith
Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Researcher Profile
Position: Computer Vision and Machine Learning, MPI for Informatics, Max Planck Society
Researcher ID: https://pure.mpg.de/cone/persons/resource/persons206357
Publications
: Rezaeianaran, F., Shetty, R., Aljundi, R., Reino, D. O., Zhang, S., & Schiele, B. (2021). Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. In ICCV 2021 (pp. 9184-9193). Piscataway, NJ: IEEE. doi:10.1109/ICCV48922.2021.00907. [PubMan] : Shetty, R. (2021). Adversarial Content Manipulation for Analyzing and Improving Model Robustness. PhD Thesis, Universität des Saarlandes, Saarbrücken. doi:10.22028/D291-34651. [PubMan] : Shetty, R., Fritz, M., & Schiele, B. (2020). Towards Automated Testing and Robustification by Semantic Adversarial Data Generation. In A. Vedaldi, H. Bischof, T. Brox, & J.-M. Frahm (Eds. ), Computer Vision -- ECCV 2020 (pp. 489-506). Berlin: Springer. doi:10.1007/978-3-030-58536-5_29. [PubMan] : Hong, X., Shetty, R., Sayeed, A., Mehra, K., Demberg, V., & Schiele, B. (2020). Diverse and Relevant Visual Storytelling with Scene Graph Embeddings. In Proceedings of the 24th Conference on Computational Natural Language Learning (pp. 420-430). Stroudsburg, PA: ACL. doi:10.18653/v1/2020.conll-1.34. [PubMan] : Agarwal, V., Shetty, R., & Fritz, M. (2020). Towards Causal VQA: Revealing and Reducing Spurious Correlations by Invariant and Covariant Semantic Editing. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 9687-9695). Piscataway, NJ: IEEE. doi:10.1109/CVPR42600.2020.00971. [PubMan] : Shetty, R., Schiele, B., & Fritz, M. (2019). Not Using the Car to See the Sidewalk: Quantifying and Controlling the Effects of Context in Classification and Segmentation. In IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 8210-8218). Piscataway, NJ: IEEE. doi:10.1109/CVPR.2019.00841. [PubMan] : Wagner, M., Basevi, H., Shetty, R., Li, W., Malinowski, M., Fritz, M., & Leonardis, A. (2019). Answering Visual What-If Questions: From Actions to Predicted Scene Descriptions. In L. Leal-Taixé, & S. Roth (Eds. ), Computer Vision - ECCV 2018 Workshops (pp. 521-537). Berlin: Springer. doi:10.1007/978-3-030-11009-3_32. [PubMan] : Shetty, R., Fritz, M., & Schiele, B. (2018). Adversarial Scene Editing: Automatic Object Removal from Weak Supervision. In S. Bengio, H. Wallach, H. Larochelle, K. Graumann, N. Cesa-Bianchi, & R. Garnett (Eds. ), Advances in Neural Information Processing Systems 31 (pp. 7716-7726). Curran Associates. [PubMan] : Shetty, R., Schiele, B., & Fritz, M. (2018). A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation. In Proceedings of the 27th USENIX Security Symposium (pp. 1633-1650). USENIX Association. [PubMan] : Shetty, R., Tavakoli, H. R., & Laaksonen, J. (2018). Image and Video Captioning with Augmented Neural Architectures. IEEE MultiMedia, 25(2), 34-46. doi:10.1109/MMUL.2018.112135923. [PubMan] : Shetty, R., Rohrbach, M., Hendricks, L. A., Fritz, M., & Schiele, B. (2017). Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training. In IEEE International Conference on Computer Vision (pp. 4155-4164). Piscataway, NJ: IEEE. doi:10.1109/ICCV.2017.398. [PubMan] : Tavakoli, H. R., Shetty, R., Borji, A., & Laaksonen, J. (2017). Paying Attention to Descriptions Generated by Image Captioning Models. In IEEE International Conference on Computer Vision (pp. 2506-2515). Piscataway, NJ: IEEE. doi:10.1109/ICCV.2017.272. [PubMan]