Zobrazeno 1 - 10
of 8 313
pro vyhledávání: '"A. Hassanpour"'
Autor:
Jiang, Liyao, Hassanpour, Negar, Salameh, Mohammad, Singamsetti, Mohan Sai, Sun, Fengyu, Lu, Wei, Niu, Di
Text-to-image (T2I) diffusion models have demonstrated impressive capabilities in generating high-quality images given a text prompt. However, ensuring the prompt-image alignment remains a considerable challenge, i.e., generating images that faithful
Externí odkaz:
http://arxiv.org/abs/2408.11706
The effective planning and allocation of resources in modern breeding programs is a complex task. Breeding program design and operational management have a major impact on the success of a breeding program and changing parameters such as the number o
Externí odkaz:
http://arxiv.org/abs/2407.17286
Lip-based biometric authentication (LBBA) has attracted many researchers during the last decade. The lip is specifically interesting for biometric researchers because it is a twin biometric with the potential to function both as a physiological and a
Externí odkaz:
http://arxiv.org/abs/2407.08717
This paper introduces a novel method of Progressive Low Rank Decomposition (PLRD) tailored for the compression of large language models. Our approach leverages a pre-trained model, which is then incrementally decompressed to smaller sizes using progr
Externí odkaz:
http://arxiv.org/abs/2406.19995
Mental manipulation, a significant form of abuse in interpersonal conversations, presents a challenge to identify due to its context-dependent and often subtle nature. The detection of manipulative language is essential for protecting potential victi
Externí odkaz:
http://arxiv.org/abs/2405.16584
Diabetic Retinopathy (DR) stands as the leading cause of blindness globally, particularly affecting individuals between the ages of 20 and 70. This paper presents a Computer-Aided Diagnosis (CAD) system designed for the automatic classification of re
Externí odkaz:
http://arxiv.org/abs/2403.19905
Autor:
Hassanpour, Ahmad, Jamalbafrani, Fatemeh, Yang, Bian, Raja, Kiran, Veldhuis, Raymond, Fierrez, Julian
Face inpainting, the technique of restoring missing or damaged regions in facial images, is pivotal for applications like face recognition in occluded scenarios and image analysis with poor-quality captures. This process not only needs to produce rea
Externí odkaz:
http://arxiv.org/abs/2403.12197
This paper explores the application of large language models (LLMs), like ChatGPT, for biometric tasks. We specifically examine the capabilities of ChatGPT in performing biometric-related tasks, with an emphasis on face recognition, gender detection,
Externí odkaz:
http://arxiv.org/abs/2403.02965
Self-supervised learning (SSL) approaches have achieved great success when the amount of labeled data is limited. Within SSL, models learn robust feature representations by solving pretext tasks. One such pretext task is contrastive learning, which i
Externí odkaz:
http://arxiv.org/abs/2402.14611
Autor:
Goyal, Manu, Marotti, Jonathan D., Workman, Adrienne A., Kuhn, Elaine P., Tooker, Graham M., Ramin, Seth K., Chamberlin, Mary D., diFlorio-Alexander, Roberta M., Hassanpour, Saeed
Breast cancer is the most common malignancy affecting women worldwide and is notable for its morphologic and biologic diversity, with varying risks of recurrence following treatment. The Oncotype DX Breast Recurrence Score test is an important predic
Externí odkaz:
http://arxiv.org/abs/2401.15805