Zobrazeno 1 - 10
of 128
pro vyhledávání: '"Mohsenzadeh, Yalda"'
Autor:
Zhang, Zeduo, Mohsenzadeh, Yalda
Current anomaly detection methods excel with benchmark industrial data but struggle with natural images and medical data due to varying definitions of 'normal' and 'abnormal.' This makes accurate identification of deviations in these fields particula
Externí odkaz:
http://arxiv.org/abs/2408.15958
Autor:
Chou, Shih-Han, Kowal, Matthew, Niknam, Yasmin, Moyano, Diana, Mehdi, Shayaan, Pito, Richard, Zhang, Cheng, Knopke, Ian, Kocak, Sedef Akinli, Sigal, Leonid, Mohsenzadeh, Yalda
While progress has been made in the domain of video-language understanding, current state-of-the-art algorithms are still limited in their ability to understand videos at high levels of abstraction, such as news-oriented videos. Alternatively, humans
Externí odkaz:
http://arxiv.org/abs/2401.12419
Contrastive representation learning has emerged as a promising technique for continual learning as it can learn representations that are robust to catastrophic forgetting and generalize well to unseen future tasks. Previous work in continual learning
Externí odkaz:
http://arxiv.org/abs/2311.01617
Anomaly detection is to recognize samples that differ in some respect from the training observations. These samples which do not conform to the distribution of normal data are called outliers or anomalies. In real-world anomaly detection problems, th
Externí odkaz:
http://arxiv.org/abs/2207.01112
Anomaly detection is to identify samples that do not conform to the distribution of the normal data. Due to the unavailability of anomalous data, training a supervised deep neural network is a cumbersome task. As such, unsupervised methods are prefer
Externí odkaz:
http://arxiv.org/abs/2207.01106
Autor:
Younesi, Mohammad, Mohsenzadeh, Yalda
Everyday, we are bombarded with many photographs of faces, whether on social media, television, or smartphones. From an evolutionary perspective, faces are intended to be remembered, mainly due to survival and personal relevance. However, all these f
Externí odkaz:
http://arxiv.org/abs/2202.11896
Publikováno v:
In Developmental Cognitive Neuroscience October 2024 69
Publikováno v:
In Neuropsychologia 9 September 2024 202
Publikováno v:
In NeuroImage 1 August 2024 296
Autor:
Al-Tahan, Haider, Mohsenzadeh, Yalda
Contrastive learning of auditory and visual perception has been extremely successful when investigated individually. However, there are still major questions on how we could integrate principles learned from both domains to attain effective audiovisu
Externí odkaz:
http://arxiv.org/abs/2110.07082