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Guillermo R. Sapiro
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- affiliation: Duke University, NC, USA
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2020 – today
- 2023
[j148]Junya Chen, Matthew Engelhard, Ricardo Henao, Samuel Berchuck, Brian Eichner, Eliana M. Perrin, Guillermo Sapiro, Geraldine Dawson
:
Enhancing early autism prediction based on electronic records using clinical narratives. J. Biomed. Informatics 144: 104390 (2023)- [j147]Oren Solomon, Rémi Patriat, Henry Braun, Tara E. Palnitkar, Steen Moeller, Edward J. Auerbach, Kâmil Ugurbil, Guillermo Sapiro, Noam Harel:
Motion robust magnetic resonance imaging via efficient Fourier aggregation. Medical Image Anal. 83: 102638 (2023) - [j146]Sam Perochon, J. Matías Di Martino, Kimberly L. H. Carpenter, Scott Compton, Naomi Davis, Steven Espinosa, Lauren Franz, Amber D. Rieder, Connor Sullivan, Guillermo Sapiro, Geraldine Dawson:
A tablet-based game for the assessment of visual motor skills in autistic children. npj Digit. Medicine 6 (2023) - [j145]Pradeep Raj Krishnappa Babu, J. Matías Di Martino, Zhuoqing Chang, Sam Perochon, Kimberly L. H. Carpenter, Scott Compton, Steven Espinosa, Geraldine Dawson, Guillermo Sapiro:
Exploring Complexity of Facial Dynamics in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. 14(2): 919-930 (2023) - [j144]Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
Robust Hybrid Learning With Expert Augmentation. Trans. Mach. Learn. Res. 2023 (2023) - [c217]Oded Schlesinger, Raj Kundu, Stefan M. Goetz, Guillermo Sapiro, Angel V. Peterchev, J. Matías Di Martino:
Automatic Neurocranial Landmarks Detection from Visible Facial Landmarks Leveraging 3D Head Priors. CLIP/FAIMI/EPIMI@MICCAI 2023: 12-20 - [i87]Antoine Wehenkel, Jens Behrmann, Andrew C. Miller, Guillermo Sapiro, Ozan Sener, Marco Cuturi, Jörn-Henrik Jacobsen:
Simulation-based Inference for Cardiovascular Models. CoRR abs/2307.13918 (2023) - 2022
- [j143]Hamed Azami, Zhuoqing Chang, Steven E. Arnold, Guillermo Sapiro, Anoopum S. Gupta:
Detection of Oculomotor Dysmetria From Mobile Phone Video of the Horizontal Saccades Task Using Signal Processing and Machine Learning Approaches. IEEE Access 10: 34022-34031 (2022) - [j142]Usamah N. Chaudhary, Cambre N. Kelly, Benjamin R. Wesorick, Cameron M. Reese, Ken Gall, Samuel B. Adams, Guillermo Sapiro, J. Matías Di Martino:
Computational and image processing methods for analysis and automation of anatomical alignment and joint spacing in reconstructive surgery. Int. J. Comput. Assist. Radiol. Surg. 17(3): 541-551 (2022) - [j141]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scaling-Translation-Equivariant Networks with Decomposed Convolutional Filters. J. Mach. Learn. Res. 23: 68:1-68:45 (2022) - [c216]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. FAccT 2022: 142-159 - [i86]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Minimax Demographic Group Fairness in Federated Learning. CoRR abs/2201.08304 (2022) - [i85]Shiwen Zhao, Charles Crissman, Guillermo R. Sapiro:
Consistent Collaborative Filtering via Tensor Decomposition. CoRR abs/2201.11936 (2022) - [i84]Antoine Wehenkel, Jens Behrmann, Hsiang Hsu, Guillermo Sapiro, Gilles Louppe, Jörn-Henrik Jacobsen:
Robust Hybrid Learning With Expert Augmentation. CoRR abs/2202.03881 (2022) - 2021
- [j140]Jordan Hashemi, Geraldine Dawson, Kimberly L. H. Carpenter, Kathleen Campbell, Qiang Qiu, Steven Espinosa, Samuel Marsan, Jeffrey P. Baker, Helen Link Egger, Guillermo Sapiro:
Computer Vision Analysis for Quantification of Autism Risk Behaviors. IEEE Trans. Affect. Comput. 12(1): 215-226 (2021) - [j139]Matthieu Bovery, Geraldine Dawson, Jordan Hashemi, Guillermo Sapiro:
A Scalable Off-the-Shelf Framework for Measuring Patterns of Attention in Young Children and Its Application in Autism Spectrum Disorder. IEEE Trans. Affect. Comput. 12(3): 722-731 (2021) - [j138]J. Matías Di Martino, Qiang Qiu, Guillermo Sapiro:
Rethinking Shape From Shading for Spoofing Detection. IEEE Trans. Image Process. 30: 1086-1099 (2021) - [c215]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text To Teach Image Retrieval. CVPR Workshops 2021: 1643-1652 - [c214]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning for Multi-Level Classification. ICASSP 2021: 2815-2819 - [c213]Natalia Martínez, Martín Bertrán, Afroditi Papadaki, Miguel R. D. Rodrigues, Guillermo Sapiro:
Blind Pareto Fairness and Subgroup Robustness. ICML 2021: 7492-7501 - [c212]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. ICRA 2021: 5744-5750 - [i83]Chenfei Wu, Lun Huang, Qianxi Zhang, Binyang Li, Lei Ji, Fan Yang, Guillermo Sapiro, Nan Duan:
GODIVA: Generating Open-DomaIn Videos from nAtural Descriptions. CoRR abs/2104.14806 (2021) - [i82]Afroditi Papadaki, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Miguel R. D. Rodrigues:
Federating for Learning Group Fair Models. CoRR abs/2110.01999 (2021) - [i81]William E. Carson IV, Dmitry Yu. Isaev, Samantha Major, Guillermo Sapiro, Geraldine Dawson, David E. Carlson:
Adversarial Factor Models for the Generation of Improved Autism Diagnostic Biomarkers. CoRR abs/2111.15347 (2021) - [i80]Martín Bertrán, Natalia Martínez, Alex Oesterling, Guillermo Sapiro:
Distributionally Robust Group Backwards Compatibility. CoRR abs/2112.10290 (2021) - 2020
- [j137]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. IEEE Trans. Pattern Anal. Mach. Intell. 42(7): 1582-1593 (2020) - [j136]Raja Giryes, Guillermo Sapiro, Alex M. Bronstein:
Corrections to "Deep Neural Networks With Random Gaussian Weights: A Universal Classification Strategy?". IEEE Trans. Signal Process. 68: 529-531 (2020) - [c211]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CVPR 2020: 14441-14450 - [c210]Mercy Nyamewaa Asiedu, Erica Skerrett, Guillermo Sapiro, Nirmala Ramanujam:
Combining multiple contrasts for improving machine learning-based classification of cervical cancers with a low-cost point-of-care Pocket colposcope. EMBC 2020: 1148-1151 - [c209]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. ICLR 2020 - [c208]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Minimax Pareto Fairness: A Multi Objective Perspective. ICML 2020: 6755-6764 - [c207]Dmitry Yu. Isaev, Dmitry Tchapyjnikov, C. Michael Cotten, David Tanaka, Natalia Martínez, Martín Bertrán, Guillermo Sapiro, David E. Carlson:
Attention-Based Network for Weak Labels in Neonatal Seizure Detection. MLHC 2020: 479-507 - [c206]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance-based Generalization in Reinforcement Learning. NeurIPS 2020 - [c205]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
A Dictionary Approach to Domain-Invariant Learning in Deep Networks. NeurIPS 2020 - [i79]J. Matías Di Martino, Fernando Suzacq, Mauricio Delbracio, Qiang Qiu, Guillermo Sapiro:
Differential 3D Facial Recognition: Adding 3D to Your State-of-the-Art 2D Method. CoRR abs/2004.03385 (2020) - [i78]Raphaël Achddou, J. Matías Di Martino, Guillermo Sapiro:
Nested Learning For Multi-Granular Tasks. CoRR abs/2007.06402 (2020) - [i77]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
ACDC: Weight Sharing in Atom-Coefficient Decomposed Convolution. CoRR abs/2009.02386 (2020) - [i76]Martín Bertrán, Natalia Martínez, Mariano Phielipp, Guillermo Sapiro:
Instance based Generalization in Reinforcement Learning. CoRR abs/2011.01089 (2020) - [i75]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Minimax Pareto Fairness: A Multi Objective Perspective. CoRR abs/2011.01821 (2020) - [i74]Haoyu Dong, Ze Wang, Qiang Qiu, Guillermo Sapiro:
Using Text to Teach Image Retrieval. CoRR abs/2011.09928 (2020) - [i73]Ze Wang, Sihao Ding, Ying Li, Jonas Fenn, Sohini Roychowdhury, Andreas Wallin, Lane Martin, Scott Ryvola, Guillermo Sapiro, Qiang Qiu:
Cirrus: A Long-range Bi-pattern LiDAR Dataset. CoRR abs/2012.02938 (2020)
2010 – 2019
- 2019
- [j135]Hamed Azami, Steven E. Arnold, Saeid Sanei, Zhuoqing Chang, Guillermo Sapiro, Javier Escudero, Anoopum S. Gupta:
Multiscale Fluctuation-Based Dispersion Entropy and Its Applications to Neurological Diseases. IEEE Access 7: 68718-68733 (2019) - [j134]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop Memorizing: A Data-Dependent Regularization Framework for Intrinsic Pattern Learning. SIAM J. Math. Data Sci. 1(3): 476-496 (2019) - [j133]Mercy Nyamewaa Asiedu, Anish K. Simhal, Usamah N. Chaudhary, Jenna L. Mueller, Christopher T. Lam, John W. Schmitt, Gino Venegas, Guillermo Sapiro, Nimmi Ramanujam:
Development of Algorithms for Automated Detection of Cervical Pre-Cancers With a Low-Cost, Point-of-Care, Pocket Colposcope. IEEE Trans. Biomed. Eng. 66(8): 2306-2318 (2019) - [c204]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation using Visual Saliency. ICCV Workshops 2019: 1169-1178 - [c203]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. ICCV Workshops 2019: 2320-2328 - [c202]Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu:
Non-Contact Photoplethysmogram and Instantaneous Heart Rate Estimation from Infrared Face Video. ICIP 2019: 2020-2024 - [c201]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. ICLR (Poster) 2019 - [c200]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Galen Reeves, Guillermo Sapiro:
Adversarially Learned Representations for Information Obfuscation and Inference. ICML 2019: 614-623 - [i72]Natalia Martínez, Martín Bertrán, Guillermo Sapiro, Hau-Tieng Wu:
Non-contact photoplethysmogram and instantaneous heart rate estimation from infrared face video. CoRR abs/1902.05194 (2019) - [i71]Reuben R. Shamir, Yuval Duchin, Jinyoung Kim, Guillermo Sapiro, Noam Harel:
Continuous Dice Coefficient: a Method for Evaluating Probabilistic Segmentations. CoRR abs/1906.11031 (2019) - [i70]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors. CoRR abs/1909.06872 (2019) - [i69]Wei Zhu, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro, Xiuyuan Cheng:
Scale-Equivariant Neural Networks with Decomposed Convolutional Filters. CoRR abs/1909.11193 (2019) - [i68]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Domain-invariant Learning using Adaptive Filter Decomposition. CoRR abs/1909.11285 (2019) - [i67]Ze Wang, Xiuyuan Cheng, Guillermo Sapiro, Qiang Qiu:
Stochastic Conditional Generative Networks with Basis Decomposition. CoRR abs/1909.11286 (2019) - [i66]Ze Wang, Sihao Ding, Ying Li, Minming Zhao, Sohini Roychowdhury, Andreas Wallin, Guillermo Sapiro, Qiang Qiu:
Range Adaptation for 3D Object Detection in LiDAR. CoRR abs/1909.12249 (2019) - [i65]Zhuoqing Chang, J. Matías Di Martino, Qiang Qiu, Steven Espinosa, Guillermo Sapiro:
SalGaze: Personalizing Gaze Estimation Using Visual Saliency. CoRR abs/1910.10603 (2019) - [i64]Natalia Martínez, Martín Bertrán, Guillermo Sapiro:
Fairness With Minimal Harm: A Pareto-Optimal Approach For Healthcare. CoRR abs/1911.06935 (2019) - 2018
- [j132]Pramod Kumar Pisharady, Stamatios N. Sotiropoulos, Julio Martin Duarte-Carvajalino, Guillermo Sapiro, Christophe Lenglet:
Estimation of white matter fiber parameters from compressed multiresolution diffusion MRI using sparse Bayesian learning. NeuroImage 167: 488-503 (2018) - [j131]Helen Link Egger, Geraldine Dawson, Jordan Hashemi, Kimberly L. H. Carpenter, Steven Espinosa, Kathleen Campbell, Samuel Brotkin, Jana Schaich Borg, Qiang Qiu, Mariano Tepper, Jeffrey P. Baker, Richard A. Bloomfield Jr., Guillermo Sapiro:
Automatic emotion and attention analysis of young children at home: a ResearchKit autism feasibility study. npj Digit. Medicine 1 (2018) - [j130]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs Between Convergence Speed and Reconstruction Accuracy in Inverse Problems. IEEE Trans. Signal Process. 66(7): 1676-1690 (2018) - [c199]Deeksha Malhotra, Kimberly Chiew, Mai-Anh Vu, Nicole Heller, Guillermo Sapiro, R. Alison Adcock:
Natural Human Exploration under Approach and Avoidance Motivation in a Real-Life Spatial Environment. CogSci 2018 - [c198]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CVPR 2018: 2743-2751 - [c197]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-Rank Embedding - A Plug and Play Geometric Loss for Deep Learning. CVPR 2018: 8109-8118 - [c196]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing with Shallow Random Forests and Tiny Convolutional Networks. ECCV (2) 2018: 442-459 - [c195]Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi, Guillermo Sapiro:
A Practical Guide to Multi-Image Alignment. ICASSP 2018: 1927-1931 - [c194]Hyun Keun Ahn, Qiang Qiu, Edward Bosch, Andrew Thompson, Francisco E. Robles, Guillermo Sapiro, Warren S. Warren, A. Robert Calderbank:
Classifying Pump-Probe Images of Melanocytic Lesions Using the WEYL Transform. ICASSP 2018: 4209-4213 - [c193]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
The Learned Inexact Project Gradient Descent Algorithm. ICASSP 2018: 6767-6771 - [c192]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. ICML 2018: 4195-4204 - [i63]Qiang Qiu, Xiuyuan Cheng, A. Robert Calderbank, Guillermo Sapiro:
DCFNet: Deep Neural Network with Decomposed Convolutional Filters. CoRR abs/1802.04145 (2018) - [i62]Albert Gong, Qiang Qiu, Guillermo Sapiro:
Virtual CNN Branching: Efficient Feature Ensemble for Person Re-Identification. CoRR abs/1803.05872 (2018) - [i61]J. Matías Di Martino, Qiang Qiu, Trishul Nagenalli, Guillermo Sapiro:
Liveness Detection Using Implicit 3D Features. CoRR abs/1804.06702 (2018) - [i60]Gilad Cohen, Guillermo Sapiro, Raja Giryes:
DNN or k-NN: That is the Generalize vs. Memorize Question. CoRR abs/1805.06822 (2018) - [i59]Xiuyuan Cheng, Qiang Qiu, A. Robert Calderbank, Guillermo Sapiro:
RotDCF: Decomposition of Convolutional Filters for Rotation-Equivariant Deep Networks. CoRR abs/1805.06846 (2018) - [i58]Wei Zhu, Qiang Qiu, Bao Wang, Jianfeng Lu, Guillermo Sapiro, Ingrid Daubechies:
Stop memorizing: A data-dependent regularization framework for intrinsic pattern learning. CoRR abs/1805.07291 (2018) - [i57]Martín Bertrán, Natalia Martínez, Afroditi Papadaki, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Collaborate for User-Controlled Privacy. CoRR abs/1805.07410 (2018) - 2017
- [j129]Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman, Joshua T. Vogelstein, Kristina D. Micheva, Richard J. Weinberg, Stephen J. Smith, Guillermo Sapiro:
Probabilistic fluorescence-based synapse detection. PLoS Comput. Biol. 13(4) (2017) - [j128]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Robust Large Margin Deep Neural Networks. IEEE Trans. Signal Process. 65(16): 4265-4280 (2017) - [c191]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. AISTATS 2017: 1094-1103 - [c190]Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich, Oliver Wang:
Deep Video Deblurring for Hand-Held Cameras. CVPR 2017: 237-246 - [c189]Mariano Tepper, Guillermo Sapiro:
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting. CVPR 2017: 655-663 - [c188]Qixiang Ye, Tianliang Zhang, Wei Ke, Qiang Qiu, Jie Chen, Guillermo Sapiro, Baochang Zhang:
Self-Learning Scene-Specific Pedestrian Detectors Using a Progressive Latent Model. CVPR 2017: 2057-2066 - [c187]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-Spectral Hallucination and Low-Rank Embedding. CVPR 2017: 6807-6816 - [c186]Jure Sokolic, Miguel R. D. Rodrigues, Qiang Qiu, Guillermo Sapiro:
Learning to Identify While Failing to Discriminate. ICCV Workshops 2017: 2537-2544 - [c185]Qiang Qiu, Jordan Hashemi, Guillermo Sapiro:
Intelligent Synthesis Driven Model Calibration: Framework and Face Recognition Application. ICCV Workshops 2017: 2564-2572 - [c184]Pramod Kumar Pisharady, Stamatios N. Sotiropoulos, Guillermo Sapiro, Christophe Lenglet:
A Sparse Bayesian Learning Algorithm for White Matter Parameter Estimation from Compressed Multi-shell Diffusion MRI. MICCAI (1) 2017: 602-610 - [i56]Jure Sokolic, Qiang Qiu, Miguel R. D. Rodrigues, Guillermo Sapiro:
Learning to Succeed while Teaching to Fail: Privacy in Closed Machine Learning Systems. CoRR abs/1705.08197 (2017) - [i55]Wei Zhu, Qiang Qiu, Jiaji Huang, A. Robert Calderbank, Guillermo Sapiro, Ingrid Daubechies:
LDMNet: Low Dimensional Manifold Regularized Neural Networks. CoRR abs/1711.06246 (2017) - [i54]Qiang Qiu, José Lezama, Alexander M. Bronstein, Guillermo Sapiro:
ForestHash: Semantic Hashing With Shallow Random Forests and Tiny Convolutional Networks. CoRR abs/1711.08364 (2017) - [i53]José Lezama, Qiang Qiu, Pablo Musé, Guillermo Sapiro:
OLÉ: Orthogonal Low-rank Embedding, A Plug and Play Geometric Loss for Deep Learning. CoRR abs/1712.01727 (2017) - 2016
- [j127]Qiang Qiu, Zhuoqing Chang, Mark Draelos, Jie Chen, Alexander M. Bronstein, Guillermo Sapiro:
Low-cost Gaze and Pulse Analysis using RealSense. EAI Endorsed Trans. Ambient Syst. 3(12): e1 (2016) - [j126]Vince Lyzinski, Donniell E. Fishkind, Marcelo Fiori, Joshua T. Vogelstein, Carey E. Priebe, Guillermo Sapiro:
Graph Matching: Relax at Your Own Risk. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 60-73 (2016) - [j125]Ehsan Elhamifar, Guillermo Sapiro, S. Shankar Sastry:
Dissimilarity-Based Sparse Subset Selection. IEEE Trans. Pattern Anal. Mach. Intell. 38(11): 2182-2197 (2016) - [j124]Jordan Hashemi, Kathleen Campbell, Kimberly L. H. Carpenter, Adrianne Harris, Qiang Qiu, Mariano Tepper, Steven Espinosa, Jana Schaich Borg, Samuel Marsan, A. Robert Calderbank, Jeffery Baker, Helen Link Egger, Geraldine Dawson, Guillermo Sapiro:
A scalable app for measuring autism risk behaviors in young children: A technical validity and feasibility study. EAI Endorsed Trans. Scalable Inf. Syst. 3(10): e1 (2016) - [j123]Qiang Qiu, Andrew Thompson, A. Robert Calderbank, Guillermo Sapiro:
Data Representation Using the Weyl Transform. IEEE Trans. Signal Process. 64(7): 1844-1853 (2016) - [j122]Mariano Tepper, Guillermo Sapiro:
Compressed Nonnegative Matrix Factorization Is Fast and Accurate. IEEE Trans. Signal Process. 64(9): 2269-2283 (2016) - [j121]Raja Giryes, Guillermo Sapiro, Alexander M. Bronstein:
Deep Neural Networks with Random Gaussian Weights: A Universal Classification Strategy? IEEE Trans. Signal Process. 64(13): 3444-3457 (2016) - [j120]Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi, Guillermo Sapiro:
Fundamental Limits in Multi-Image Alignment. IEEE Trans. Signal Process. 64(21): 5707-5722 (2016) - [c183]Zhuoqing Chang, Qiang Qiu, Guillermo Sapiro:
Synthesis-Based Low-Cost Gaze Analysis. HCI (27) 2016: 95-100 - [c182]Mariano Tepper, Guillermo Sapiro:
A short-graph fourier transform via personalized pagerank vectors. ICASSP 2016: 4806-4810 - [c181]Marcelo Fiori, Pablo Musé, Mariano Tepper, Guillermo Sapiro:
Tell me where you are and I tell you where you are going: Estimation of dynamic mobility graphs. SAM 2016: 1-5 - [c180]Jie Chen, Zhuoqing Chang, Qiang Qiu, Xiaobai Li, Guillermo Sapiro, Alexander M. Bronstein, Matti Pietikäinen:
RealSense = real heart rate: Illumination invariant heart rate estimation from videos. IPTA 2016: 1-6 - [p5]Jonathan Pokrass, Alexander M. Bronstein, Michael M. Bronstein, Pablo Sprechmann, Guillermo Sapiro:
Sparse Models for Intrinsic Shape Correspondence. Perspectives in Shape Analysis 2016: 211-230 - [i52]Cecilia Aguerrebere, Mauricio Delbracio, Alberto Bartesaghi, Guillermo Sapiro:
Fundamental Limits in Multi-image Alignment. CoRR abs/1602.01541 (2016) - [i51]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Margin Preservation of Deep Neural Networks. CoRR abs/1605.08254 (2016) - [i50]Raja Giryes, Yonina C. Eldar, Alexander M. Bronstein, Guillermo Sapiro:
Tradeoffs between Convergence Speed and Reconstruction Accuracy in Inverse Problems. CoRR abs/1605.09232 (2016) - [i49]Jure Sokolic, Raja Giryes, Guillermo Sapiro, Miguel R. D. Rodrigues:
Generalization Error of Invariant Classifiers. CoRR abs/1610.04574 (2016) - [i48]Mariano Tepper, Guillermo Sapiro:
Fast L1-NMF for Multiple Parametric Model Estimation. CoRR abs/1610.05712 (2016) - [i47]Mariano Tepper, Guillermo Sapiro:
Nonnegative Matrix Underapproximation for Robust Multiple Model Fitting. CoRR abs/1611.01408 (2016) - [i46]Anish K. Simhal, Cecilia Aguerrebere, Forrest Collman, Joshua T. Vogelstein, Kristina D. Micheva, Richard J. Weinberg, Stephen J. Smith, Guillermo Sapiro:
Probabilistic Fluorescence-Based Synapse Detection. CoRR abs/1611.05479 (2016) - [i45]José Lezama, Qiang Qiu, Guillermo Sapiro:
Not Afraid of the Dark: NIR-VIS Face Recognition via Cross-spectral Hallucination and Low-rank Embedding. CoRR abs/1611.06638 (2016) - [i44]Qixiang Ye, Tianliang Zhang, Qiang Qiu, Baochang Zhang, Jie Chen, Guillermo Sapiro:
Self-learning Scene-specific Pedestrian Detectors using a Progressive Latent Model. CoRR abs/1611.07544 (2016) - [i43]Shuochen Su, Mauricio Delbracio, Jue Wang, Guillermo Sapiro, Wolfgang Heidrich,