Zobrazeno 1 - 10
of 122
pro vyhledávání: '"Aleix M. Martinez"'
Publikováno v:
Int J Comput Vis
Computer vision algorithms performance are near or superior to humans in the visual problems including object recognition (especially those of fine-grained categories), segmentation, and 3D object reconstruction from 2D views. Humans are, however, ca
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bba49dbe545b8471d694670eb0dd578
https://doi.org/10.1007/s11263-020-01404-0
https://doi.org/10.1007/s11263-020-01404-0
Publikováno v:
J Exp Psychol Hum Percept Perform
The "spatial congruency bias" is a behavioral phenomenon where 2 objects presented sequentially are more likely to be judged as being the same object if they are presented in the same location (Golomb, Kupitz, & Thiemann, 2014), suggesting that irrel
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f2dfe4c31b4ee8f265e74c21dc2f184e
https://doi.org/10.1037/xhp0000872
https://doi.org/10.1037/xhp0000872
Publikováno v:
IEEE Trans Pattern Anal Mach Intell
Color is a fundamental image feature of facial expressions. For example, when we furrow our eyebrows in anger, blood rushes in, turning some face areas red; or when one goes white in fear as a result of the drainage of blood from the face. Surprising
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f787c51b3a1d09d7bdeaf38982069b44
https://doi.org/10.1109/tpami.2018.2868952
https://doi.org/10.1109/tpami.2018.2868952
Publikováno v:
2021 IEEE/CVF International Conference on Computer Vision (ICCV).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ad2af355e483196f171a5b5cacf5b5bc
https://doi.org/10.1109/iccv48922.2021.01369
https://doi.org/10.1109/iccv48922.2021.01369
Autor:
Aleix M. Martinez
Publikováno v:
Dev Psychol
Computer vision algorithms have made tremendous advances in recent years. We now have algorithms that can detect and recognize objects, faces, and even facial actions in still images and video sequences. This is wonderful news for researchers that ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::671722d6b7b1863a37e23e99f6d28457
https://doi.org/10.1037/dev0000728
https://doi.org/10.1037/dev0000728
Publikováno v:
Psychol Sci Public Interest
It is commonly assumed that a person’s emotional state can be readily inferred from his or her facial movements, typically called emotional expressions or facial expressions. This assumption influences legal judgments, policy decisions, national se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::805832357f619e4594423375af9b5ee7
https://doi.org/10.1177/1529100619832930
https://doi.org/10.1177/1529100619832930
Publikováno v:
PLoS ONE, Vol 9, Iss 2, p e86268 (2014)
To fully define the grammar of American Sign Language (ASL), a linguistic model of its nonmanuals needs to be constructed. While significant progress has been made to understand the features defining ASL manuals, after years of research, much still n
Externí odkaz:
https://doaj.org/article/cea3919335034f9b9078cf4dacb474f0
Publikováno v:
CVPR
Deep Neural Networks (DNNs) have revolutionized computer vision. We now have DNNs that achieve top (accuracy) results in many problems, including object recognition, facial expression analysis, and semantic segmentation, to name but a few. The design
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::14e712fde973c4de97ebc5d9809944a6
https://doi.org/10.1109/cvpr42600.2020.00275
https://doi.org/10.1109/cvpr42600.2020.00275
Publikováno v:
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Universitat Politècnica de Catalunya (UPC)
Digital.CSIC. Repositorio Institucional del CSIC
instname
Recent advances in generative adversarial networks (GANs) have shown impressive results for the task of facial expression synthesis. The most successful architecture is StarGAN (Choi et al. in CVPR, 2018), that conditions GANs’ generation process w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::890a0ea15bd0bc60da9a59048299203b
http://hdl.handle.net/10261/202226
http://hdl.handle.net/10261/202226
Publikováno v:
CVPR
The flexibility and high-accuracy of Deep Neural Networks (DNNs) has transformed computer vision. But, the fact that we do not know when a specific DNN will work and when it will fail has resulted in a lack of trust. A clear example is self-driving c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2e219b01e10db6c309550a509bf2b463
https://doi.org/10.1109/cvpr.2019.00489
https://doi.org/10.1109/cvpr.2019.00489