12 citations · 29 across the 6 of their papers we have counts for
6 papers
DCCVT: Differentiable Clipped Centroidal Voronoi Tessellation
Wylliam Cantin Charawi, Adrien Gruson, Jane Wu +2
While Marching Cubes (MC) and Marching Tetrahedra (MTet) are widely adopted in 3D reconstruction pipelines due to their simplicity and efficiency, their differentiable variants rem…
Domain Adaptation Techniques for Natural and Medical Image Classification
Ahmad Chaddad, Yihang Wu, Reem Kateb +1
Domain adaptation (DA) techniques have the potential in machine learning to alleviate distribution differences between training and test sets by leveraging information from source…
FAA-CLIP: Federated Adversarial Adaptation of CLIP
Yihang Wu, Ahmad Chaddad, Christian Desrosiers +2
Despite the remarkable performance of vision language models (VLMs) such as Contrastive Language Image Pre-training (CLIP), the large size of these models is a considerable obstacl…
Simulations of Common Unsupervised Domain Adaptation Algorithms for Image Classification
Ahmad Chaddad, Yihang Wu, Yuchen Jiang +2
Traditional machine learning assumes that training and test sets are derived from the same distribution; however, this assumption does not always hold in practical applications. Th…
FACMIC: Federated Adaptative CLIP Model for Medical Image Classification
Yihang Wu, Christian Desrosiers, Ahmad Chaddad
Federated learning (FL) has emerged as a promising approach to medical image analysis that allows deep model training using decentralized data while ensuring data privacy. However,…
Improvement Of Audiovisual Quality Estimation Using A Nonlinear Autoregressive Exogenous Neural Network And Bitstream Parameters
Koffi Kossi, Stephane Coulombe, Christian Desrosiers +1
With the increasing demand for audiovisual services, telecom service providers and application developers are compelled to ensure that their services provide the best possible user…