Alvaro M. Soto, Ph.D.

Affiliations: 
2002 Carnegie Mellon University, Pittsburgh, PA 
Area:
robotics
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"Alvaro Soto"
Cross-listing: Physics Tree

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Pradeep K. Khosla grad student 2002 Carnegie Mellon
 (A probabilistic approach for the adaptive integration of multiple visual cues using an agent framework.)
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Publications

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Riquelme F, Goyeneche AD, Zhang Y, et al. (2020) Explaining VQA predictions using visual grounding and a knowledge base Image and Vision Computing. 101: 103968
Lobel H, Vidal R, Soto A. (2020) CompactNets: Compact Hierarchical Compositional Networks for Visual Recognition Computer Vision and Image Understanding. 191: 102841
Peralta B, Saavedra A, Caro LA, et al. (2019) Mixture of experts with entropic regularization for data classification Entropy. 21: 190
Messina P, Dominguez V, Parra D, et al. (2019) Content-based artwork recommendation: integrating painting metadata with neural and manually-engineered visual features User Modeling and User-Adapted Interaction. 29: 251-290
Lobel H, Vidal R, Soto A. (2015) Learning Shared, Discriminative, and Compact Representations for Visual Recognition Ieee Transactions On Pattern Analysis and Machine Intelligence. 37: 2218-2231
Peralta B, Soto A. (2014) Embedded local feature selection within mixture of experts Information Sciences. 269: 176-187
Espinace P, Kollar T, Roy N, et al. (2013) Indoor scene recognition by a mobile robot through adaptive object detection Robotics and Autonomous Systems. 61: 932-947
Mery D, Pedreschi F, Soto A. (2013) Automated Design of a Computer Vision System for Visual Food Quality Evaluation Food and Bioprocess Technology. 6: 2093-2108
Caro L, Correa J, Espinace P, et al. (2012) Indoor mobile robotics at Grima, PUC Journal of Intelligent and Robotic Systems: Theory and Applications. 66: 151-165
Mery D, Chanona-Pérez JJ, Soto A, et al. (2010) Quality classification of corn tortillas using computer vision Journal of Food Engineering. 101: 357-364
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