Zobrazeno 1 - 10
of 738
pro vyhledávání: '"Qureshi Faisal"'
Publikováno v:
Journal of Ultrasonography, Vol 24, Iss 96, Pp e37-e40 (2024)
Externí odkaz:
https://doaj.org/article/7db14b8ccf3a4240a17c32f3a93fc33d
Compositional Zero-Shot Learning (CZSL) aims to predict unknown compositions made up of attribute and object pairs. Predicting compositions unseen during training is a challenging task. We are exploring Open World Compositional Zero-Shot Learning (OW
Externí odkaz:
http://arxiv.org/abs/2407.13715
Autor:
Rezasoltani, Shima, Qureshi, Faisal Z.
Hyperspectral images, which record the electromagnetic spectrum for a pixel in the image of a scene, often store hundreds of channels per pixel and contain an order of magnitude more information than a similarly-sized RBG color image. Consequently, c
Externí odkaz:
http://arxiv.org/abs/2312.01558
The hyperspectral pixel unmixing aims to find the underlying materials (endmembers) and their proportions (abundances) in pixels of a hyperspectral image. This work extends the Latent Dirichlet Variational Autoencoder (LDVAE) pixel unmixing scheme by
Externí odkaz:
http://arxiv.org/abs/2311.10701
Autor:
Jafarian, Hamoon, Qureshi, Faisal Z.
Human pose and shape estimation methods continue to suffer in situations where one or more parts of the body are occluded. More importantly, these methods cannot express when their predicted pose is incorrect. This has serious consequences when these
Externí odkaz:
http://arxiv.org/abs/2305.17245
Autor:
Rezasoltani, Shima, Qureshi, Faisal Z.
Hyperspectral images, which record the electromagnetic spectrum for a pixel in the image of a scene, often store hundreds of channels per pixel and contain an order of magnitude more information than a typical similarly-sized color image. Consequentl
Externí odkaz:
http://arxiv.org/abs/2302.04129
Image segmentation is a fundamental step for the interpretation of Remote Sensing Images. Clustering or segmentation methods usually precede the classification task and are used as support tools for manual labeling. The most common algorithms, such a
Externí odkaz:
http://arxiv.org/abs/2203.02820
We present a method for hyperspectral pixel {\it unmixing}. The proposed method assumes that (1) {\it abundances} can be encoded as Dirichlet distributions and (2) spectra of {\it endmembers} can be represented as multivariate Normal distributions. T
Externí odkaz:
http://arxiv.org/abs/2203.01327
Autor:
Cairo, Sarah, Chao, Stephanie D., Fenton, Stephen J., Gollin, Gerald, Jensen, Aaron, Keane, Olivia A., Nicassio, Lauren, Ochoa, Brielle, Pandya, Samir, Patwardhan, Utsav M., Schnuck, Jamie K., Acker, Shannon N., Kelley-Quon, Lorraine I., Lee, Justin H., Shew, Stephen B., Fialkowski, Elizabeth, Ignacio, Romeo C., Melhado, Caroline, Qureshi, Faisal G., Russell, Katie W., Rothstein, David H.
Publikováno v:
In Journal of Pediatric Surgery September 2024 59(9):1730-1734
The Effects of Spectral Dimensionality Reduction on Hyperspectral Pixel Classification: A Case Study
This paper presents a systematic study of the effects of hyperspectral pixel dimensionality reduction on the pixel classification task. We use five dimensionality reduction methods -- PCA, KPCA, ICA, AE, and DAE -- to compress 301-dimensional hypersp
Externí odkaz:
http://arxiv.org/abs/2104.00788