no code implementations • 11 Dec 2023 • Trung-Hieu Hoang, Mona Zehni, Huy Phan, Duc Minh Vo, Minh N. Do
We observe the poor generalization of state-of-the-art 3D pose lifters in the presence of corruption and establish two techniques to tackle this issue.
1 code implementation • 6 Jul 2022 • Shuai Huang, Mona Zehni, Ivan Dokmanić, Zhizhen Zhao
Unknown-view tomography (UVT) reconstructs a 3D density map from its 2D projections at unknown, random orientations.
no code implementations • 15 May 2022 • Trung-Hieu Hoang, Mona Zehni, Huaijin Xu, George Heintz, Christopher Zallek, Minh N. Do
In this paper, we propose an accessible vision-based exam and documentation solution called Digitized Neurological Examination (DNE) to expand exam biomarker recording options and clinical applications using a smartphone/tablet.
no code implementations • 23 Aug 2021 • Mona Zehni, Zhizhen Zhao
The goal of 2D tomographic reconstruction is to recover an image given its projections from various views.
no code implementations • 22 Jun 2021 • Mona Zehni, Shaona Ghosh, Krishna Sridhar, Sethu Raman
To solve this ill-posed problem from single image, state-of-the-art methods in shape from shading mostly resort to supervised training on all the components on either synthetic or real datasets.
no code implementations • 13 May 2021 • Safa Messaoud, Ismini Lourentzou, Assma Boughoula, Mona Zehni, Zhizhen Zhao, ChengXiang Zhai, Alexander G. Schwing
The recent growth of web video sharing platforms has increased the demand for systems that can efficiently browse, retrieve and summarize video content.
1 code implementation • 18 Feb 2021 • Mona Zehni, Zhizhen Zhao
We formulate MSR as a distribution matching problem where the goal is to recover the signal and the probability distribution of the segments such that the distribution of the generated measurements following a known forward model is close to the real observations.
1 code implementation • 9 Feb 2021 • Mona Zehni, Zhizhen Zhao
To accommodate this, we use Gumbel-softmax approximation of samples from categorical distribution to approximate the generator's loss as a function of the unknown image and the projection distribution.
1 code implementation • 25 Nov 2018 • Mona Zehni, Shuai Huang, Ivan Dokmanić, Zhizhen Zhao
For a point source model, we show that these features reveal geometric information about the model such as the radial and pairwise distances.
1 code implementation • 25 Feb 2018 • Mona Zehni, Minh N. Do, Zhizhen Zhao
Instead of trying to locate the segment within the sequence through pair-wise matching, we propose a new approach that uses shift-invariant features to estimate both the underlying signal and the distribution of the positions of the segments.
Signal Processing