Using a self-adaptive neighborhood scheme with crowding replacement memory in genetic algorithm for multimodal optimization. - Shima Kamyab; Mahdi Eftekhari (Swarm Evol. Comput., 2013)

A gravitational search algorithm for multimodal optimization. - Sajjad Yazdani; Hossein Nezamabadi-pour; Shima Kamyab (Swarm Evol. Comput., 2014)

Feature selection using multimodal optimization techniques. - Shima Kamyab; Mahdi Eftekhari (Neurocomputing, 2016)

Deep Structure for end-to-end inverse rendering. - Shima Kamyab; Ali Ghodsi 001; Zohreh Azimifar (CoRR, 2017)

End-to-end 3D shape inverse rendering of different classes of objects from a single input image. - Shima Kamyab; Zohreh Azimifar (CoRR, 2017)

A niche GSA method with nearest neighbor scheme for multimodal optimization. - Pourya Haghbayan; Hossein Nezamabadi-pour; Shima Kamyab (Swarm Evol. Comput., 2017)

Deep Generative Models: Deterministic Prediction with an Application in Inverse Rendering. - Shima Kamyab; Rasool Sabzi; Zohreh Azimifar (CoRR, 2019)

Meta-heuristic for non-homogeneous peak density spaces and implementation on 2 real-world parameter learning/tuning applications. - Mojtaba Moattari; Emad Roshandel; Shima Kamyab; Zohreh Azimifar (CoRR, 2019)

Survey of Deep Learning Methods for Inverse Problems. - Shima Kamyab; Zohreh Azimifar; Rasool Sabzi; Paul W. Fieguth (CoRR, 2021)

A Deep Learning Embedded System for 3D Human Face Shape Reconstruction From a Single Image. - Shima Kamyab; Hamed Taghadosi; Zohreh Azimifar (CSICC, 2022)

Deep learning methods for inverse problems. - Shima Kamyab; Zohreh Azimifar; Rasool Sabzi; Paul W. Fieguth (PeerJ Comput. Sci., 2022)

Deep-MDS framework for recovering the 3D shape of 2D landmarks from a single image. - Shima Kamyab; Zohreh Azimifar (J. Vis. Commun. Image Represent., 2024)