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Convergent Data-driven Regularizations for CT Reconstruction
The reconstruction of images from their corresponding noisy Radon transf...
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Lifting the Convex Conjugate in Lagrangian Relaxations: A Tractable Approach for Continuous Markov Random Fields
Dual decomposition approaches in nonconvex optimization may suffer from ...
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Exploiting the Logits: Joint Sign Language Recognition and Spell-Correction
Machine learning techniques have excelled in the automatic semantic anal...
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Fast Convex Relaxations using Graph Discretizations
Matching and partitioning problems are fundamentals of computer vision a...
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