Pos	Paper	Citations	Year
1	A first-order primal-dual algorithm for convex problems with applications to imaging	5978	2011
2	A Duality Based Approach for Realtime TV-L	2473	2007
3	Learning a variational network for reconstruction of accelerated MRI data	2365	2018
4	Total generalized variation	1920	2010
5	Trainable nonlinear reaction diffusion: A flexible framework for fast and effective image restoration	1625	2016
6	Second order total generalized variation (TGV) for MRI	795	2011
7	An introduction to total variation for image analysis	727	2010
8	An introduction to continuous optimization for imaging	697	2016
9	An Improved Algorithm for TV-L	663	2009
10	Diagonal preconditioning for first order primal-dual algorithms in convex optimization	620	2011
11	On the ergodic convergence rates of a first-order primal–dual algorithm	610	2016
12	iPiano: Inertial proximal algorithm for nonconvex optimization	589	2014
13	An inertial forward-backward algorithm for monotone inclusions	575	2015
14	Anisotropic Huber-L1 Optical Flow	532	2009
15	An algorithm for minimizing the Mumford-Shah functional	515	2009
16	Deep learning methods for parallel magnetic resonance image reconstruction	500	2020
17	PROST: Parallel robust online simple tracking	499	2010
18	On learning optimized reaction diffusion processes for effective image restoration	402	2015
19	Point clouds	399	2010
20	A convex relaxation approach for computing minimal partitions	334	2009
21	A Globally Optimal Algorithm for Robust TV-L	333	2007
22	Motion estimation with non-local total variation regularization	320	2010
23	A convex approach to minimal partitions	318	2012
24	Assessment of the generalization of learned image reconstruction and the potential for transfer learning	307	2019
25	A bilevel optimization approach for parameter learning in variational models	298	2013
26	Real-time intensity-image reconstruction for event cameras using manifold regularisation	281	2018
27	A convex formulation of continuous multi-label problems	275	2008
28	Inertial proximal alternating linearized minimization (iPALM) for nonconvex and nonsmooth problems	267	2016
29	On iteratively reweighted algorithms for nonsmooth nonconvex optimization in computer vision	267	2015
30	Structure-and motion-adaptive regularization for high accuracy optic flow	252	2009
31	A framework for the generation of digital twins of cardiac electrophysiology from clinical 12-leads ECGs	229	2021
32	Global solutions of variational models with convex regularization	214	2010
33	Large displacement optical flow computation withoutwarping	206	2009
34	A first-order primal-dual algorithm with linesearch	199	2018
35	Video Super Resolution Using Duality Based TV-L	178	2009
36	End-to-end training of hybrid CNN-CRF models for stereo	169	2017
37	Variational networks: connecting variational methods and deep learning	167	2017
38	A Duality Based Algorithm for TV-L	166	2007
39	Non-local total generalized variation for optical flow estimation	166	2014
40	Convolutional networks for shape from light field	160	2016
41	TVSeg-Interactive Total Variation Based Image Segmentation	157	2008
42	Dense reconstruction on-the-fly	155	2012
43	iPiasco: inertial proximal algorithm for strongly convex optimization	154	2015
44	Pushing the limits of stereo using variational stereo estimation	154	2012
45	Insights into analysis operator learning: From patch-based sparse models to higher order MRFs	148	2014
46	Segmentation of interwoven 3d tubular tree structures utilizing shape priors and graph cuts	144	2010
47	Total deep variation for linear inverse problems	142	2020
48	Deep learning reconstruction enables prospectively accelerated clinical knee MRI	129	2023
49	A novel way to measure and predict development: A heuristic approach to facilitate the early detection of neurodevelopmental disorders	126	2017
50	Neural epi-volume networks for shape from light field	122	2017
51	Online multi-class LPBoost	121	2010
52	Large-scale semantic 3d reconstruction: an adaptive multi-resolution model for multi-class volumetric labeling	120	2016
53	Optical Flow Guided TV-L	118	2011
54	Shape from light field meets robust PCA	118	2014
55	Learning joint demosaicing and denoising based on sequential energy minimization	106	2016
56	A deep learning architecture for limited-angle computed tomography reconstruction	104	2017
57	Online 3D reconstruction using convex optimization	104	2011
58	Bilevel optimization with nonsmooth lower level problems	100	2015
59	Real-time panoramic tracking for event cameras	100	2017
60	Duality TV-L1 flow with fundamental matrix prior	94	2008
61	Interactive multi-label segmentation	91	2010
62	Revisiting loss-specific training of filter-based MRFs for image restoration	87	2013
63	An unbiased second-order prior for high-accuracy motion estimation	82	2008
64	An iterated l1 algorithm for non-smooth non-convex optimization in computer vision	78	2013
65	Convex-concave backtracking for inertial Bregman proximal gradient algorithms in nonconvex optimization	77	2020
66	Liver segment approximation in CT data for surgical resection planning	75	2004
67	Inverse GANs for accelerated MRI reconstruction	74	2019
68	Bayesian uncertainty estimation of learned variational MRI reconstruction	72	2021
69	Total deep variation: A stable regularization method for inverse problems	71	2021
70	Fast and exact solution of total variation models on the GPU	70	2008
71	Techniques for gradient-based bilevel optimization with non-smooth lower level problems	70	2016
72	TGV-fusion	69	2011
73	Joint motion estimation and segmentation of complex scenes with label costs and occlusion modeling	68	2012
74	A remark on accelerated block coordinate descent for computing the proximity operators of a sum of convex functions	67	2015
75	A novel robust tube detection filter for 3D centerline extraction	65	2005
76	Convex relaxation techniques for segmentation, stereo, and multiview reconstruction	65	2015
77	Anisotropic minimal surfaces integrating photoconsistency and normal information for multiview stereo	64	2010
78	Variational shape from light field	64	2013
79	Improving optical flow on a pyramid level	60	2020