Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Yuwen Xiong"'
Publikováno v:
Journal of Composites for Construction. 26
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ba0b30c2e22fc1d2c7db99eb9419cbd5
https://doi.org/10.1061/(asce)cc.1943-5614.0001264
https://doi.org/10.1061/(asce)cc.1943-5614.0001264
Publikováno v:
Clinics and Research in Hepatology and Gastroenterology. 47:102105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::54da552df1caa94a9f8affca2a54c8a1
https://doi.org/10.1016/j.clinre.2023.102105
https://doi.org/10.1016/j.clinre.2023.102105
Autor:
Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783031198410
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b059481519c631bd044ab662a224e5f
https://doi.org/10.1007/978-3-031-19842-7_16
https://doi.org/10.1007/978-3-031-19842-7_16
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::59058454df813c704d3dab13761fcd25
https://doi.org/10.1109/iros51168.2021.9636691
https://doi.org/10.1109/iros51168.2021.9636691
Publikováno v:
CVPR
In this paper, we propose PolyTransform, a novel instance segmentation algorithm that produces precise, geometry-preserving masks by combining the strengths of prevailing segmentation approaches and modern polygon-based methods. In particular, we fir
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::69f11e95bbdafc80017790559ecb744a
https://doi.org/10.1109/cvpr42600.2020.00915
https://doi.org/10.1109/cvpr42600.2020.00915
Autor:
Wei-Chiu Ma, Sivabalan Manivasagam, Raquel Urtasun, Yuwen Xiong, Hao Su, Jiayuan Gu, Wenyuan Zeng, Zihao Wang
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585570
ECCV (5)
ECCV (5)
3D shape completion for real data is important but challenging, since partial point clouds acquired by real-world sensors are usually sparse, noisy and unaligned. Different from previous methods, we address the problem of learning 3D complete shape f
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::352d1788bd33efea11c6e627565980b9
https://doi.org/10.1007/978-3-030-58558-7_17
https://doi.org/10.1007/978-3-030-58558-7_17
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585914
ECCV (23)
ECCV (23)
Obtaining precise instance segmentation masks is of high importance in many modern applications such as robotic manipulation and autonomous driving. Currently, many state of the art models are based on the Mask R-CNN framework which, while very power
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0bb1d060a3ff2084c79c5ca94ef7cf5f
https://doi.org/10.1007/978-3-030-58592-1_33
https://doi.org/10.1007/978-3-030-58592-1_33
Publikováno v:
ICCV
In this paper, we propose the differentiable mask-matching network (DMM-Net) for solving the video object segmentation problem where the initial object masks are provided. Relying on the Mask R-CNN backbone, we extract mask proposals per frame and fo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62f783482be46786816bdbade36d1017
http://arxiv.org/abs/1909.12471
http://arxiv.org/abs/1909.12471
Publikováno v:
CVPR
In this paper we tackle the problem of scene flow estimation in the context of self-driving. We leverage deep learning techniques as well as strong priors as in our application domain the motion of the scene can be composed by the motion of the robot
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49b66f51c8bbce5bcc6e4d5f5461cc3c
Publikováno v:
CVPR
In this paper, we propose a unified panoptic segmentation network (UPSNet) for tackling the newly proposed panoptic segmentation task. On top of a single backbone residual network, we first design a deformable convolution based semantic segmentation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::648ed5718f3f6d7d3ac904854931d6f9