no code implementations • 11 Dec 2023 • Cédric Rommel, Victor Letzelter, Nermin Samet, Renaud Marlet, Matthieu Cord, Patrick Pérez, Eduardo Valle
Monocular 3D human pose estimation (3D-HPE) is an inherently ambiguous task, as a 2D pose in an image might originate from different possible 3D poses.
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 • ICCV 2023 • Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit
Assuming that images of the point clouds are available, which is common, our method relies on powerful unsupervised image features to measure the diversity of the point clouds.
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.
1 code implementation • ICCV 2023 • Yue Zhu, Nermin Samet, David Picard
We also propose three tasks: i) 3D whole-body pose lifting from 2D complete whole-body pose, ii) 3D whole-body pose lifting from 2D incomplete whole-body pose, and iii) 3D whole-body pose estimation from a single RGB image.
Ranked #2 on 3D Human Pose Estimation on H3WB
1 code implementation • 19 Sep 2022 • Georgy Ponimatkin, Nermin Samet, Yang Xiao, Yuming Du, Renaud Marlet, Vincent Lepetit
We propose a simple, yet powerful approach for unsupervised object segmentation in videos.
Ranked #1 on Unsupervised Video Object Segmentation on SegTrack v2 (Jaccard (Mean) metric)
no code implementations • 24 Aug 2022 • Doris Antensteiner, Silvia Bucci, Arushi Goel, Marah Halawa, Niveditha Kalavakonda, Tejaswi Kasarla, Miaomiao Liu, Nermin Samet, Ivaxi Sheth
In this paper, we present the details of Women in Computer Vision Workshop - WiCV 2022, organized alongside the hybrid CVPR 2022 in New Orleans, Louisiana.
1 code implementation • 8 Jun 2021 • Nermin Samet, Emre Akbas
Differently, in whole-body pose estimation, the locations of fine-grained keypoints (68 on face, 21 on each hand and 3 on each foot) are estimated as well, which creates a scale variance problem that needs to be addressed.
Ranked #1 on Facial Landmark Detection on COCO-WholeBody
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 #122 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.