Vincent C. H. Leung

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All published works

Action	Title	Year	Authors
+ PDF Chat	Learning-Based Reconstruction of FRI Signals	2023	Vincent C. H. Leung Junjie Huang Yonina C. Eldar Pier Luigi Dragotti
+	Learning-Based Reconstruction of FRI Signals	2022	Vincent C. H. Leung Jun-Jie Huang Yonina C. Eldar Pier Luigi Dragotti
+ PDF Chat	Reconstruction of Fri Signals Using Deep Neural Network Approaches	2020	Vincent C. H. Leung Junjie Huang Pier Luigi Dragotti
+	Reconstruction of FRI Signals using Deep Neural Networks	2019	Vincent C. H. Leung Junjie Huang Pier Luigi Dragotti

Common Coauthors

Coauthor	Papers Together
Pier Luigi Dragotti	4
Junjie Huang	3
Yonina C. Eldar	2
Jun-Jie Huang	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	Direction of Arrival Estimation for Multiple Sound Sources Using Convolutional Recurrent Neural Network	2018	Sharath Adavanne Archontis Politis Tuomas Virtanen	2
+	Mathematical Methods of Statistics.	1947	R. C. Geary H. Leslie Cramer	2
+ PDF Chat	Sampling signals with finite rate of innovation	2002	Martin Vetterli Pina Marziliano Thierry Blu	2
+ PDF Chat	Sampling Moments and Reconstructing Signals of Finite Rate of Innovation: Shannon Meets Strang–Fix	2007	Pier Luigi Dragotti Martin Vetterli Thierry Blu	2
+ PDF Chat	A Learning-based Framework for Line-spectra Super-resolution	2019	Gautier Izacard Brett Bernstein Carlos Fernandez‐Granda	2
+ PDF Chat	Compressed Beamforming in Ultrasound Imaging	2012	Noam Wagner Yonina C. Eldar Zvi Friedman	1
+ PDF Chat	Structured low-rank approximation and its applications	2008	Ivan Markovsky	1
+ PDF Chat	Innovation Rate Sampling of Pulse Streams With Application to Ultrasound Imaging	2011	Ronen Tur Yonina C. Eldar Zvi Friedman	1
+ PDF Chat	Compressed Sensing Off the Grid	2013	Gongguo Tang Badri Narayan Bhaskar Parikshit Shah Benjamin Recht	1
+ PDF Chat	Eigendecomposition-Free Training of Deep Networks with Zero Eigenvalue-Based Losses	2018	Zheng Dang Kwang Moo Yi Yinlin Hu Fei Wang Pascal Fua Mathieu Salzmann	1
+	Adam: A Method for Stochastic Optimization	2014	Diederik P. Kingma Jimmy Ba	1
+ PDF Chat	Towards a Mathematical Theory of Super‐resolution	2013	Emmanuel J. Candès Carlos Fernandez‐Granda	1
+	Deep Unfolded Robust PCA With Application to Clutter Suppression in Ultrasound	2019	Oren Solomon Regev Cohen Yi Zhang Yi Yang Qiong He Jianwen Luo Ruud J. G. van Sloun Yonina C. Eldar	1
+ PDF Chat	Reconstruction of Fri Signals Using Deep Neural Network Approaches	2020	Vincent C. H. Leung Junjie Huang Pier Luigi Dragotti	1
+ PDF Chat	Identifiability Conditions for Compressive Multichannel Blind Deconvolution	2020	Satish Mulleti Kiryung Lee Yonina C. Eldar	1
+ PDF Chat	Algorithm Unrolling: Interpretable, Efficient Deep Learning for Signal and Image Processing	2021	Vishal Monga Yuelong Li Yonina C. Eldar	1
+	PyTorch: An Imperative Style, High-Performance Deep Learning Library	2019	Adam Paszke Sam Gross Francisco Massa Adam Lerer James T. Bradbury Gregory Chanan Trevor Killeen Zeming Lin Natalia Gimelshein Luca Antiga	1
+	Data-driven Estimation of Sinusoid Frequencies	2019	Gautier Izacard Sreyas Mohan Carlos Fernandez‐Granda	1
+ PDF Chat	A rank minimization heuristic with application to minimum order system approximation	2001	Maryam Fazel H. Hindi Stephen Boyd	1
+ PDF Chat	Unrolled Compressed Blind-Deconvolution	2023	Bahareh Tolooshams Satish Mulleti Demba Ba Yonina C. Eldar	1
+ PDF Chat	Atomic Norm Denoising With Applications to Line Spectral Estimation	2013	Badri Narayan Bhaskar Gongguo Tang Benjamin Recht	1
+ PDF Chat	Sub-Nyquist Radar via Doppler Focusing	2014	Omer Bar-Ilan Yonina C. Eldar	1
+ PDF Chat	Fast Nonnegative Deconvolution for Spike Train Inference From Population Calcium Imaging	2010	Joshua T Vogelstein Adam M. Packer Timothy A. Machado Tanya Sippy Baktash Babadi Rafael Yuste Liam Paninski	1
+ PDF Chat	Cadzow Denoising Upgraded: A New Projection Method for the Recovery of Dirac Pulses from Noisy Linear Measurements	2015	Laurent Condat Akira Hirabayashi	1