Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Omid Poursaeed"'
While deep neural networks have achieved remarkable success in various computer vision tasks, they often fail to generalize to new domains and subtle variations of input images. Several defenses have been proposed to improve the robustness against th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6a86efd5124b0aa9318f92893c957ee5
Publikováno v:
3DV
Point clouds provide a compact and efficient representation of 3D shapes. While deep neural networks have achieved impressive results on point cloud learning tasks, they require massive amounts of manually labeled data, which can be costly and time-c
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030586065
ECCV (10)
ECCV (10)
We propose a novel neural architecture for representing 3D surfaces, which harnesses two complementary shape representations: (i) an explicit representation via an atlas, i.e., embeddings of 2D domains into 3D; (ii) an implicit-function representatio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c121f0b1d91a82e256115d0e94934fb5
https://doi.org/10.1007/978-3-030-58607-2_39
https://doi.org/10.1007/978-3-030-58607-2_39
Publikováno v:
WACV
We propose a learning based method for generating new animations of a cartoon character given a few example images. Our method is designed to learn from a traditionally animated sequence, where each frame is drawn by an artist, and thus the input ima
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::47b28ce11dbe8e1323eb2442775cf3b3
http://arxiv.org/abs/1910.02060
http://arxiv.org/abs/1910.02060
Autor:
Qiuren Fang, Aditya Prakash, Serge Belongie, Guandao Yang, Hanqing Jiang, Bharath Hariharan, Omid Poursaeed
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030110147
ECCV Workshops (3)
ECCV Workshops (3)
Estimating fundamental matrices is a classic problem in computer vision. Traditional methods rely heavily on the correctness of estimated key-point correspondences, which can be noisy and unreliable. As a result, it is difficult for these methods to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::aff6d686c3e0f583a47796f19d3e73ec
https://doi.org/10.1007/978-3-030-11015-4_35
https://doi.org/10.1007/978-3-030-11015-4_35
Publikováno v:
CVPR
In this paper, we propose novel generative models for creating adversarial examples, slightly perturbed images resembling natural images but maliciously crafted to fool pre-trained models. We present trainable deep neural networks for transforming im
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b917dd78466e41137432148e0121e80e
http://arxiv.org/abs/1712.02328
http://arxiv.org/abs/1712.02328
Since the advent of online real estate database companies like Zillow, Trulia and Redfin, the problem of automatic estimation of market values for houses has received considerable attention. Several real estate websites provide such estimates using a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4bbd73432c5ec4e5b284a09c78d65335
Publikováno v:
CVPR
In this paper, we propose a novel generative model named Stacked Generative Adversarial Networks (SGAN), which is trained to invert the hierarchical representations of a bottom-up discriminative network. Our model consists of a top-down stack of GANs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f9a646dff98d59cb2c1bd93fb95ec386
Publikováno v:
UEMCON
In this paper, we present a multi-user resource allocation framework using fragmented-spectrum synchronous OFDM-CDMA modulation over a frequency-selective fading channel. In particular, given pre-existing communications in the spectrum where the syst
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af662603e25aff318049a4ec494993d2
Publikováno v:
WCNC Workshops
In Cognitive Radio (CR), in order to avoid interference in the Primary Users (PU), some subcarriers need to be deactivated. In systems based on Multicarrier Code Division Multiple Access (MC-CDMA), this causes losing orthogonality among different spr