Juan Borrego-Carazo

Publication Activity (10 Years)

Years Active: 2020-2023
Publications (10 Years): 10

Top Topics

Gesture Recognition

Embedded Devices

Computationally Efficient

Top Venues

Publications

Juan Borrego-Carazo, Carles Sánchez, David Castells-Rufas, Jordi Carrabina, Debora Gil
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation. Comput. Methods Programs Biomed. 228 (2023)
Debora Gil, Aura Hernández-Sabaté, Julien Enconniere, Saryani Asmayawati, Pau Folch, Juan Borrego-Carazo, Miquel Angel Piera
E-Pilots: A System to Predict Hard Landing During the Approach Phase of Commercial Flights. IEEE Access 10 (2022)
David Castells-Rufas, Juan Borrego-Carazo, Jordi Carrabina, Jordi Naqui, Ernesto Biempica
Continuous touch gesture recognition based on RNNs for capacitive proximity sensors. Pers. Ubiquitous Comput. 26 (6) (2022)
Juan Borrego-Carazo, Carles Sánchez, David Castells-Rufas, Jordi Carrabina, Debora Gil
BronchoPose: an analysis of data and model configuration for vision-based bronchoscopy pose estimation. CoRR (2022)
Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
A Mixed Quantization Network for Computationally Efficient Mobile Inverse Tone Mapping. CoRR (2022)
David Castells-Rufas, Vinh Ngo, Juan Borrego-Carazo, Marc Codina, Carles Sánchez, Debora Gil, Jordi Carrabina
A Survey of FPGA-Based Vision Systems for Autonomous Cars. IEEE Access 10 (2022)
Juan Borrego-Carazo, Mete Ozay, Frederik Laboyrie, Paul Wisbey
A Mixed Quantization Network for Efficient Mobile Inverse Tone Mapping. BMVC (2021)
Juan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina, Ernesto Biempica
Capacitive-sensing module with dynamic gesture recognition for automotive applications. DDECS (2020)
Juan Borrego-Carazo, David Castells-Rufas, Jordi Carrabina, Ernesto Biempica
Extending SpArSe: Automatic Gesture Recognition Architectures for Embedded Devices. ICMLA (2020)
Juan Borrego-Carazo, David Castells-Rufas, Ernesto Biempica, Jordi Carrabina
Resource-Constrained Machine Learning for ADAS: A Systematic Review. IEEE Access 8 (2020)