13 citations · 14 across the 6 of their papers we have counts for
5 papers · 1 filter
An Adversarial Learning Based Approach for Unknown View Tomographic Reconstruction
Mona Zehni, Zhizhen Zhao
The goal of 2D tomographic reconstruction is to recover an image given its projections from various views. It is often presumed that projection angles associated with the projectio…
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…