Rakshith Shetty (PhD Student)

MSc Rakshith Shetty

Max-Planck-Institut für Informatik
Saarland Informatics Campus
Campus E1 4
66123 Saarbrücken
E1 4 - Room 628
+49 681 9325 2028
+49 681 9325 2099
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A4NT: Author Attribute Anonymity by Adversarial Training of Neural Machine Translation
R. Shetty, B. Schiele and M. Fritz
Proceedings of the 27th USENIX Security Symposium, 2018
Adversarial Scene Editing: Automatic Object Removal from Weak Supervision
R. Shetty, M. Fritz and B. Schiele
Technical Report, 2018
(arXiv: 1806.01911)
While great progress has been made recently in automatic image manipulation, it has been limited to object centric images like faces or structured scene datasets. In this work, we take a step towards general scene-level image editing by developing an automatic interaction-free object removal model. Our model learns to find and remove objects from general scene images using image-level labels and unpaired data in a generative adversarial network (GAN) framework. We achieve this with two key contributions: a two-stage editor architecture consisting of a mask generator and image in-painter that co-operate to remove objects, and a novel GAN based prior for the mask generator that allows us to flexibly incorporate knowledge about object shapes. We experimentally show on two datasets that our method effectively removes a wide variety of objects using weak supervision only
Image and Video Captioning with Augmented Neural Architectures
R. Shetty, H. R. Tavakoli and J. Laaksonen
IEEE MultiMedia, Volume 25, Number 2, 2018
Speaking the Same Language: Matching Machine to Human Captions by Adversarial Training
R. Shetty, M. Rohrbach, L. A. Hendricks, M. Fritz and B. Schiele
IEEE International Conference on Computer Vision (ICCV 2017), 2017
Paying Attention to Descriptions Generated by Image Captioning Models
H. R. Tavakoli, R. Shetty, A. Borji and J. Laaksonen
IEEE International Conference on Computer Vision (ICCV 2017), 2017