13 citations · 14 across the 4 of their papers we have counts for
10 papers
Towards a Comprehensive Solution for a Vision-based Digitized Neurological Examination
Trung-Hieu Hoang, Mona Zehni, Huaijin Xu +3
The ability to use digitally recorded and quantified neurological exam information is important to help healthcare systems deliver better care, in-person and via telehealth, as the…
Joint Learning of Portrait Intrinsic Decomposition and Relighting
Mona Zehni, Shaona Ghosh, Krishna Sridhar +1
Inverse rendering is the problem of decomposing an image into its intrinsic components, i.e. albedo, normal and lighting. To solve this ill-posed problem from single image, state-o…
DeepQAMVS: Query-Aware Hierarchical Pointer Networks for Multi-Video Summarization
Safa Messaoud, Ismini Lourentzou, Assma Boughoula +4
The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content. Query-aware multi-video sum…
MSR-GAN: Multi-Segment Reconstruction via Adversarial Learning
Mona Zehni, Zhizhen Zhao
Multi-segment reconstruction (MSR) is the problem of estimating a signal given noisy partial observations. Here each observation corresponds to a randomly located segment of the si…
UVTomo-GAN: An adversarial learning based approach for unknown view X-ray tomographic reconstruction
Mona Zehni, Zhizhen Zhao
Tomographic reconstruction recovers an unknown image given its projections from different angles. State-of-the-art methods addressing this problem assume the angles associated with…
3D unknown view tomography via rotation invariants
Mona Zehni, Shuai Huang, Ivan Dokmanić +1
In this paper, we study the problem of reconstructing a 3D point source model from a set of 2D projections at unknown view angles. Our method obviates the need to recover the proje…