Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Songyou Peng"'
Publikováno v:
IEEE Transactions on Affective Computing. 13:298-305
Apparent personality and emotion analysis are both central to affective computing. Existing works solve them individually. In this paper we investigate if such high-level affect traits and their relationship can be jointly learned from face images in
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩
IEEE Transactions on Pattern Analysis and Machine Intelligence, Institute of Electrical and Electronics Engineers, 2020, 42 (10), pp.2453--2464. ⟨10.1109/TPAMI.2019.2923621⟩
This study explores the use of photometric techniques (shape-from-shading and uncalibrated photometric stereo) for upsampling the low-resolution depth map from an RGB-D sensor to the higher resolution of the companion RGB image. A single-shot variati
Autor:
Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys
Neural implicit representations have recently shown encouraging results in various domains, including promising progress in simultaneous localization and mapping (SLAM). Nevertheless, existing methods produce over-smoothed scene reconstructions and h
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83841c0acdd97de4b9e1a2720a2ee347
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585792
ECCV (3)
Computer Vision – ECCV 2020
Lecture Notes in Computer Science
ECCV (3)
Computer Vision – ECCV 2020
Lecture Notes in Computer Science
Recently, implicit neural representations have gained popularity for learning-based 3D reconstruction. While demonstrating promising results, most implicit approaches are limited to comparably simple geometry of single objects and do not scale to mor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecc7708be26a91902cbafb86a725fa0c
https://doi.org/10.1007/978-3-030-58580-8_31
https://doi.org/10.1007/978-3-030-58580-8_31
Publikováno v:
WACV
Learning-based 3D reconstruction using implicit neural representations has shown promising progress not only at the object level but also in more complicated scenes. In this paper, we propose Dynamic Plane Convolutional Occupancy Networks, a novel im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::77a6b3282a2e7fc972b33546498d0d8a
Publikováno v:
CVPR
We propose a differentiable sphere tracing algorithm to bridge the gap between inverse graphics methods and the recently proposed deep learning based implicit signed distance function. Due to the nature of the implicit function, the rendering process
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::618f78e01d919ee7ebe745c44773544c
http://arxiv.org/abs/1911.13225
http://arxiv.org/abs/1911.13225
Autor:
Xiaoman Zhang, Zeng Zeng, Le Zhang, Xulei Yang, Wei Li, Cen Chen, Jie Wang, Songyou Peng, Ziyuan Zhao
Publikováno v:
BHI
Segmentation stands at the forefront of many high-level vision tasks. In this study, we focus on segmenting finger bones within a newly introduced semi-supervised self-taught deep learning framework which consists of a student network and a stand-alo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c5a5a94a40cec83bd9d0d892c9110b2
Autor:
Peter Sturm, Songyou Peng
Publikováno v:
ICCV 2019-International Conference on Computer Vision
ICCV 2019-International Conference on Computer Vision, Oct 2019, Seoul, South Korea. pp.1497-1505, ⟨10.1109/ICCV.2019.00158⟩
ICCV
ICCV 2019-International Conference on Computer Vision, Oct 2019, Seoul, South Korea. pp.1497-1505, ⟨10.1109/ICCV.2019.00158⟩
ICCV
It is well known that the accuracy of a calibration depends strongly on the choice of camera poses from which images of a calibration object are acquired. We present a system -- Calibration Wizard -- that interactively guides a user towards taking op
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab73bdc154fe61fe16cad4ba44dc1bd1
http://arxiv.org/abs/1811.03264
http://arxiv.org/abs/1811.03264
Publikováno v:
ACM Multimedia
Personality and emotion are both central to affective computing. Existing works address them individually. In this demo we investigate if such high-level affect traits and their relationship can be jointly learned from face images in the wild. To thi
Publikováno v:
2017 IEEE International Conference on Computer Vision Workshop (ICCVW)
2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Oct 2017, Venice, Italy. pp.2961-2968, ⟨10.1109/ICCVW.2017.349⟩
ICCV Workshops
2017 IEEE International Conference on Computer Vision Workshop (ICCVW), Oct 2017, Venice, Italy. pp.2961-2968, ⟨10.1109/ICCVW.2017.349⟩
ICCV Workshops
A novel depth super-resolution approach for RGB-D sensors is presented. It disambiguates depth super-resolution through high-resolution photometric clues and, symmetrically, it disambiguates uncalibrated photometric stereo through low-resolution dept
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b1e54f79a067f881aee6cf07dfab8e2