René E Vidal, PhD
Rachleff University Professor
Department: Radiology
Contact information
Center for Imaging Science
Mathematical Institute for Data Science
Department of Biomedical Engineering
John Hopkins University
302B Clark Hall, 3400 N. Charles Street
Baltimore, MD 21218
Mathematical Institute for Data Science
Department of Biomedical Engineering
John Hopkins University
302B Clark Hall, 3400 N. Charles Street
Baltimore, MD 21218
Email:
vidalr@seas.upenn.edu
vidalr@seas.upenn.edu
Education:
B.S. (Industrial Engineering - Electricity (Summa Cum Laude))
Catholic University of Chile, 1995.
Diploma (Industrial Engineering - Electricity (Summa Cum Laude))
Catholic University of Chile, 1997.
MS (Engineering - Automatic Control)
Catholic University of Chile, 1997.
MS (Electrical Engineering and Computer Science)
University of California at Berkeley, 2000.
Ph.D. (Electrical Engineering and Computer Science)
University of California at Berkeley, 2003.
Permanent linkB.S. (Industrial Engineering - Electricity (Summa Cum Laude))
Catholic University of Chile, 1995.
Diploma (Industrial Engineering - Electricity (Summa Cum Laude))
Catholic University of Chile, 1997.
MS (Engineering - Automatic Control)
Catholic University of Chile, 1997.
MS (Electrical Engineering and Computer Science)
University of California at Berkeley, 2000.
Ph.D. (Electrical Engineering and Computer Science)
University of California at Berkeley, 2003.
Selected Publications
R. Vidal and S. Sastry: Segmentation of Dynamic Scenes from Image Intensities. IEEE Workshop on Vision and Motion Computing Page: 44-49, Dec 2022 Notes: DOI: 10.1109/MOTION.2002.1182212.McKay GN, Oommen A, Pacheco C, Chen MT, Ray SC, Vidal R, Haeffele BD, Durr NJ.: Lens Free Holographic Imaging for Urinary Tract Infection Screening. IEEE Transactions on Biomedical Engineering 21, Sep 2022.
Pacheco C, McKay GN, Oommen A, Durr NJ, Vidal R, Haeffele BD: Adaptive Sparse Reconstruction for Lensless digital Holography via PSF Estimation and Phase Retrieval. Optics Express 30(19): 33433-33448 Sep 2022.
Bejar B, Dokmanic I, Vidal R. : The Fastest l1,∞ Prox in the West. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(7): 3858-3869, Jul 2022.
You C, Li C, Robinson DP, Vidal R. : Self-Representation Based Unsupervised Exemplar Selection in a Union of Subspaces. IEEE Transactions on Pattern Analysis and Machine Intelligence 44(5): 2698-2711, May 2022.
Guilherme França, Daniel P Robinson, René Vidal: Gradient flows and proximal splitting methods: A unified view on accelerated and stochastic optimization. Physical Review. E 103(5-1): 053304, May 2021 Notes: DOI: 10.1103/PhysRevE.103.053304.
Haeffele B., Vidal R.: Structured Low-Rank Matrix Factorization: Global Optimality, Algorithms, and Applications IEEE Transactions on Pattern Analysis and Machine Intelligence 42(6): 1468-1482, June 2020.
Pacheco C., René Vidal R : An Unsupervised Domain Adaptation Approach to Classification of Stem Cell-Derived Cardiomyocytes. In Medical Image Computing and Computer Assisted Intervention 2019.
Zhu Z., Ding T., Tsakiris M., Robinson D., Vidal R: A Linearly Convergent Method for Non-Smooth Non-Convex Optimization on the Grassmannian with Applications to Robust Subspace and Dictionary Learning. In Neural Information Processing Systems 2019.
You C., Li C., Robinson D., Vidal R: Is an Affine Constraint Needed for Affine Subspace Clustering? In IEEE International Conference on Computer Vision 2019.