| Publication |
Sentence |
Publish Date |
Extraction Date |
Species |
| Marisa Nordt, Jesse Gomez, Vaidehi S Natu, Alex A Rezai, Dawn Finzi, Holly Kular, Kalanit Grill-Specto. Longitudinal development of category representations in ventral temporal cortex predicts word and face recognition. Nature communications. vol 14. issue 1. 2023-12-04. PMID:38049393. |
longitudinal development of category representations in ventral temporal cortex predicts word and face recognition. |
2023-12-04 |
2023-12-10 |
Not clear |
| Marinella Cadoni, Andrea Lagorio, Enrico Gross. Face detection based on a human attention guided multi-scale model. Biological cybernetics. 2023-12-01. PMID:38038793. |
in more detail, it shows that a multi-scale pyramid representation can be adopted to extract interesting points, and that human attention can be used to select the points at the scales that lead to the best face detection performance. |
2023-12-01 |
2023-12-10 |
human |
| Chi-Hsun Chang, Sukhan Zehra, Adrian Nestor, Andy C H Le. Using image reconstruction to investigate face perception in amnesia. Neuropsychologia. 2023-04-29. PMID:37119985. |
the present study employed a behavioral-based image reconstruction approach to reveal the pictorial representations of face perception in two amnesic patients: da, who has an extensive bilateral mtl lesion that extends beyond the mtl in the right hemisphere, and bl, who has damage to the hippocampal dentate gyrus (dg). |
2023-04-29 |
2023-08-14 |
human |
| Junqiang Dai, K Suzanne Scher. The Privileged Status of Peer Faces: Subordinate-level Neural Representations of Faces in Emerging Adults. Journal of cognitive neuroscience. 2023-01-13. PMID:36638228. |
this privileged status of peer faces is supported by multiple neural mechanisms within the ventral visual pathway, including enhanced neural magnitude and neural size in the ffa1, which is a critical part of the face-processing network, that fundamentally supports the representations of subordinate-level categories of faces (in terms of developmental stage). |
2023-01-13 |
2023-08-14 |
human |
| Kazusa Minemoto, Yoshiyuki Ued. Face identity and facial expression representations with adaptation paradigms: New directions for potential applications. Frontiers in psychology. vol 13. 2023-01-05. PMID:36600709. |
subsequently, we reviewed studies that applied this paradigm to immature or impaired face recognition (i.e., children and individuals with autism spectrum disorder or prosopagnosia) and examined the relationships between their poor recognition performance and representations. |
2023-01-05 |
2023-08-14 |
Not clear |
| Yuanfang Zhao, Fang Tian, Yiying Song, Jia Li. Multiple-stage impairments of unfamiliar face learning in developmental prosopagnosia: Evidence from fMRI repetition suppression and multi-voxel pattern stability. Neuropsychologia. vol 176. 2022-09-27. PMID:36165826. |
finally, the mtl's unstable mnemonic representation was associated with the impaired face recognition performance in dp. |
2022-09-27 |
2023-08-14 |
Not clear |
| Mahmood H B Alhlffee, Yea-Shuan Huang, Yi-An Che. 2D facial landmark localization method for multi-view face synthesis image using a two-pathway generative adversarial network approach. PeerJ. Computer science. vol 8. 2022-05-02. PMID:35494834. |
the existing generative adversarial network (gan) deep learning methods have been proven to be effective in performing facial recognition with a set of pre-processing, post-processing and feature representation techniques to bring a frontal view into the same position in-order to achieve high accuracy face identification. |
2022-05-02 |
2023-08-13 |
Not clear |
| Alexa Haeger, Christophe Pouzat, Volker Luecken, Karim N'Diaye, Christian Elger, Ingo Kennerknecht, Nikolai Axmacher, Vera Dinkelacke. Face Processing in Developmental Prosopagnosia: Altered Neural Representations in the Fusiform Face Area. Frontiers in behavioral neuroscience. vol 15. 2021-12-07. PMID:34867227. |
face processing in developmental prosopagnosia: altered neural representations in the fusiform face area. |
2021-12-07 |
2023-08-13 |
Not clear |
| Bruno Rossion, Aliette Loch. Is human face recognition lateralized to the right hemisphere due to neural competition with left-lateralized visual word recognition? A critical review. Brain structure & function. 2021-11-03. PMID:34731327. |
over the last decade, a specific hypothesis derived from this view according to which neural competition in the left ventral occipito-temporal cortex with selective representations of letter strings causes right hemispheric lateralization of face recognition, has generated considerable interest and research in the scientific community. |
2021-11-03 |
2023-08-13 |
human |
| Golijeh Golarai, Dara G Ghahremani, Anders C Greenwood, John D E Gabrieli, Jennifer L Eberhard. The development of race effects in face processing from childhood through adulthood: Neural and behavioral evidence. Developmental science. vol 24. issue 3. 2021-06-07. PMID:33151616. |
in adults, this race effect in face recognition is associated with differential neural representations of own- and other-race faces in the fusiform face area (ffa), a high-level visual region involved in face recognition. |
2021-06-07 |
2023-08-13 |
Not clear |
| Géza Gergely Ambrus, Daniel Kaiser, Radoslaw Martin Cichy, Gyula Kovác. The Neural Dynamics of Familiar Face Recognition. Cerebral cortex (New York, N.Y. : 1991). vol 29. issue 11. 2020-10-20. PMID:30753332. |
recent fmri decoding studies have suggested that face recognition is supported by identity representations located in regions of the occipitotemporal cortex. |
2020-10-20 |
2023-08-13 |
human |
| John Towler, Katie Fisher, Martin Eime. Holistic face perception is impaired in developmental prosopagnosia. Cortex; a journal devoted to the study of the nervous system and behavior. vol 108. 2019-11-26. PMID:30165324. |
these results provide direct electrophysiological and behavioural evidence for qualitative differences in the representation of face identity in the occipital-temporal face processing system in developmental prosopagnosia. |
2019-11-26 |
2023-08-13 |
human |
| Lingxiao He, Haiqing Li, Qi Zhang, Zhenan Su. Dynamic Feature Matching for Partial Face Recognition. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2019-11-20. PMID:30235130. |
this study proposes a novel partial face recognition approach, called dynamic feature matching (dfm), which combines fully convolutional networks (fcns) and sparse representation classification (src) to address partial face recognition problem regardless of various face sizes. |
2019-11-20 |
2023-08-13 |
Not clear |
| Lei Zhang, Ji Liu, Bob Zhanga, David Zhangb, Ce Zh. Deep Cascade Model based Face Recognition: When Deep-layered Learning Meets Small Data. IEEE transactions on image processing : a publication of the IEEE Signal Processing Society. 2019-09-10. PMID:31502970. |
sparse representation based classification (src), nuclear-norm matrix regression (nmr), and deep learning (dl) have achieved a great success in face recognition (fr). |
2019-09-10 |
2023-08-13 |
Not clear |
| Ke-Kun Huang, Dao-Qing Dai, Chuan-Xian Ren, Zhao-Rong La. Learning Kernel Extended Dictionary for Face Recognition. IEEE transactions on neural networks and learning systems. vol 28. issue 5. 2018-10-18. PMID:26890929. |
a sparse representation classifier (src) and a kernel discriminant analysis (kda) are two successful methods for face recognition. |
2018-10-18 |
2023-08-13 |
human |
| Jing Li, Tao Qiu, Chang Wen, Kai Xie, Fang-Qing We. Robust Face Recognition Using the Deep C2D-CNN Model Based on Decision-Level Fusion. Sensors (Basel, Switzerland). vol 18. issue 7. 2018-07-02. PMID:29958478. |
c2d-cnn combines the features learnt from the original pixels with the image representation learnt by cnn, and then makes decision-level fusion, which can significantly improve the performance of face recognition. |
2018-07-02 |
2023-08-13 |
Not clear |
| Nicholas Furl, Michael Lohse, Francesca Pizzorni-Ferrares. Low-frequency oscillations employ a general coding of the spatio-temporal similarity of dynamic faces. NeuroImage. vol 157. 2018-05-28. PMID:28619657. |
although the face perception network in occipitotemporal cortex is well-studied, contributions of oscillations to face representation remain an open question. |
2018-05-28 |
2023-08-13 |
Not clear |
| Qingxiang Feng, Chun Yuan, Jeng-Shyang Pan, Jar-Ferr Yang, Yang-Ting Chou, Yicong Zhou, Weifeng L. Superimposed Sparse Parameter Classifiers for Face Recognition. IEEE transactions on cybernetics. vol 47. issue 2. 2018-05-25. PMID:26829813. |
the experimental results demonstrate that the proposed methods achieve better recognition rate than the lrc, src, collaborative representation-based classification, regularized robust coding, relaxed collaborative representation, support vector machine, and tptssr for face recognition under various conditions. |
2018-05-25 |
2023-08-13 |
Not clear |
| David Zeugin, Norhan Arfa, Michael Notter, Micah M Murray, Silvio Iont. Implicit self-other discrimination affects the interplay between multisensory affordances of mental representations of faces. Behavioural brain research. vol 333. 2018-04-20. PMID:28697903. |
face recognition is an apparently straightforward but, in fact, complex ability, encompassing the activation of at least visual and somatosensory representations. |
2018-04-20 |
2023-08-13 |
human |
| Chao Bi, Lei Zhang, Miao Qi, Caixia Zheng, Yugen Yi, Jianzhong Wang, Baoxue Zhan. Supervised Filter Learning for Representation Based Face Recognition. PloS one. vol 11. issue 7. 2017-07-28. PMID:27416030. |
representation based classification methods, such as sparse representation classification (src) and linear regression classification (lrc) have been developed for face recognition problem successfully. |
2017-07-28 |
2023-08-13 |
Not clear |