1 code implementation • 7 Oct 2023 • Samet Hicsonmez, Nermin Samet, Fidan Samet, Oguz Bakir, Emre Akbas, Pinar Duygulu
Current state-of-the-art video-to-video translation models rely on having a video sequence or a single style image to stylize an input video.
1 code implementation • 20 Jan 2023 • Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
We leverage semantic image segmentation from a general-purpose panoptic segmentation network to generate an additional adversarial loss function.
3 code implementations • 14 Apr 2021 • Nermin Samet, Samet Hicsonmez, Emre Akbas
This paper presents HoughNet, a one-stage, anchor-free, voting-based, bottom-up object detection method.
1 code implementation • 11 Feb 2021 • Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
Our loss function can be integrated to any baseline GAN model.
1 code implementation • BMVC 2020 • Nermin Samet, Samet Hicsonmez, Emre Akbas
In this paper, we propose a new labeling strategy aimed to reduce the label noise in anchor-free detectors.
Ranked #111 on Object Detection on COCO test-dev
2 code implementations • ECCV 2020 • Nermin Samet, Samet Hicsonmez, Emre Akbas
We further validate the effectiveness of our proposal in another task, namely, "labels to photo" image generation by integrating the voting module of HoughNet to two different GAN models and showing that the accuracy is significantly improved in both cases.
Ranked #101 on Object Detection on COCO minival
4 code implementations • 13 Feb 2020 • Samet Hicsonmez, Nermin Samet, Emre Akbas, Pinar Duygulu
To address this problem, we propose a new framework for the quantitative evaluation of image-to-illustration models, where both content and style are taken into account using separate classifiers.
no code implementations • 10 Apr 2017 • Samet Hicsonmez, Nermin Samet, Fadime Sener, Pinar Duygulu
The style was noticeable in other characters of the same illustrator in different books as well.