Zobrazeno 1 - 10
of 11
pro vyhledávání: '"Howard Zhou"'
Autor:
Ricardo Martin-Brualla, Pratul P. Srinivasan, Zhicheng Wang, Howard Zhou, Jonathan T. Barron, Noah Snavely, Qianqian Wang, Thomas Funkhouser, Kyle Genova
Publikováno v:
CVPR
We present a method that synthesizes novel views of complex scenes by interpolating a sparse set of nearby views. The core of our method is a network architecture that includes a multilayer perceptron and a ray transformer that estimates radiance and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b3582dac4acca68a6e36735fc33a2ad
http://arxiv.org/abs/2102.13090
http://arxiv.org/abs/2102.13090
Autor:
Howard Zhou, Jonathan Krause, James Philbin, Li Fei-Fei, Andrew Howard, Tom Duerig, Benjamin Sapp, Alexander Toshev
Publikováno v:
Computer Vision – ECCV 2016 ISBN: 9783319464862
ECCV (3)
ECCV (3)
Current approaches for fine-grained recognition do the following: First, recruit experts to annotate a dataset of images, optionally also collecting more structured data in the form of part annotations and bounding boxes. Second, train a model utiliz
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::074dc774b6c81598f0102ae0fa786b86
https://doi.org/10.1007/978-3-319-46487-9_19
https://doi.org/10.1007/978-3-319-46487-9_19
Publikováno v:
IEEE Transactions on Visualization and Computer Graphics. 13:834-848
In this paper, we present an example-based system for terrain synthesis. In our approach, patches from a sample terrain (represented by a height field) are used to generate a new terrain. The synthesis is guided by a user-sketched feature map that sp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2f683801a980c4bd0e0e24eb39240898
https://doi.org/10.1109/tvcg.2007.1027
https://doi.org/10.1109/tvcg.2007.1027
Publikováno v:
CVPR
Most deep architectures for image classification--even those that are trained to classify a large number of diverse categories--learn shared image representations with a single model. Intuitively, however, categories that are more similar should shar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::090f68739c8b77b982ac6ebb70d72c07
http://arxiv.org/abs/1512.05246
http://arxiv.org/abs/1512.05246
Publikováno v:
ACM Multimedia
This paper presents a method for movie genre categorization of movie trailers, based on scene categorization. We view our approach as a step forward from using only low-level visual feature cues, towards the eventual goal of high-level seman- tic und
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::87600508bcc941b69720d7172a0421a5
https://doi.org/10.1145/1873951.1874068
https://doi.org/10.1145/1873951.1874068
Publikováno v:
ICIP
The popular Richardson-Lucy (RL) image deconvolution algorithm often produces undesirable ringing artifacts. In this paper, we propose a novel Dual Range Deringing (DRD) algorithm to address this problem. As a post-deconvolution scheme, the proposed
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2a07f0c0d2e63ce698fc0bb5b385a48c
https://doi.org/10.1109/icip.2010.5652832
https://doi.org/10.1109/icip.2010.5652832
Publikováno v:
ISBI
Automated segmentation of pigmented skin lesions (PSLs) from dermoscopy images is an important step for computer-aided diagnosis of skin cancer. The segmentation task involves classifying each image pixel as either lesion or skin. It is challenging b
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0e669fe545103c3be045e72ded41c3cd
https://doi.org/10.1109/isbi.2010.5490372
https://doi.org/10.1109/isbi.2010.5490372
Publikováno v:
ISBI
Dermoscopy is an imaging technique dermatologists use to better visualize pigmented skin lesions (PSLs) and determine their malignancy. Dermoscopic features revealed by this technique have been shown to correlate with histopathology features, and are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::edd1adc71818a760836fa19d2b205a33
https://doi.org/10.1109/isbi.2009.5193307
https://doi.org/10.1109/isbi.2009.5193307
Autor:
Le Zou, Laura M Drogowski, Richard Gass, Howard Zhou, Mei Chen, James M. Rehg, Laura K. Ferris
Publikováno v:
ISBI
Dermoscopy is a technique used to better visualize pigmented skin lesion and aid the clinician in determining if a lesion is benign or malignant. Automated segmentation of dermoscopy images is an important step for computer-aided diagnosis of melanom
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a7048f6a7588051e60db42b15637026a
https://doi.org/10.1109/isbi.2008.4541117
https://doi.org/10.1109/isbi.2008.4541117
Autor:
Jonhan Ho, Mei Chen, James M. Rehg, Howard Zhou, Laura M Drogowski, Richard Gass, Laura K. Ferris
Publikováno v:
Medical Imaging: Image Processing
Dermoscopy, also called surface microscopy, is a non-invasive imaging procedure developed for early screening of skin cancer. With recent advance in skin imaging technologies and image processing techniques, there has been increasing interest in comp
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4017c1313d220bcdd50d0904de0de6e0
https://doi.org/10.1117/12.770824
https://doi.org/10.1117/12.770824