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Jose Martinez-Carranza

Showing results (1-10 of 11) with videos related to

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Sensors (Basel, Switzerland)|December 23, 2020
A Review on Auditory Perception for Unmanned Aerial VehiclesJose Martinez-Carranza, Caleb Rascon
Sensors (Basel, Switzerland)|November 27, 2021
Towards Autonomous Drone Racing without GPU Using an OAK-D Smart CameraLeticia Oyuki Rojas-Perez, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|August 23, 2020
DeepPilot: A CNN for Autonomous Drone RacingLeticia Oyuki Rojas-Perez, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|September 13, 2019
On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial SystemsCaleb Rascon, Oscar Ruiz-Espitia, Jose Martinez-Carranza
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|August 12, 2025
Improving NIR single-pixel imaging: using deep image prior and GANsCarlos Osorio Quero, Irving Rondon, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|February 1, 2019
High Level 3D Structure Extraction from a Single Image Using a CNN-Based ApproachJ A de Jesús Osuna-Coutiño, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|November 27, 2019
A Monocular SLAM-based Controller for Multirotors with Sensor Faults under Ground EffectAntonio Matus-Vargas, Gustavo Rodriguez-Gomez, Jose Martinez-Carranza
The Review of Scientific Instruments|December 2, 2021
Single-pixel imaging: An overview of different methods to be used for 3D space reconstruction in harsh environmentsCarlos A Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 14, 2023
Deep-learning blurring correction of images obtained from NIR single-pixel imagingCarlos Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 4, 2024
Enhancing 3D human pose estimation with NIR single-pixel imaging and time-of-flight technology: a deep learning approachCarlos Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Sensors (Basel, Switzerland)|December 23, 2020
A Review on Auditory Perception for Unmanned Aerial VehiclesJose Martinez-Carranza, Caleb Rascon
Sensors (Basel, Switzerland)|November 27, 2021
Towards Autonomous Drone Racing without GPU Using an OAK-D Smart CameraLeticia Oyuki Rojas-Perez, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|August 23, 2020
DeepPilot: A CNN for Autonomous Drone RacingLeticia Oyuki Rojas-Perez, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|September 13, 2019
On the Use of the AIRA-UAS Corpus to Evaluate Audio Processing Algorithms in Unmanned Aerial SystemsCaleb Rascon, Oscar Ruiz-Espitia, Jose Martinez-Carranza
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|August 12, 2025
Improving NIR single-pixel imaging: using deep image prior and GANsCarlos Osorio Quero, Irving Rondon, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|February 1, 2019
High Level 3D Structure Extraction from a Single Image Using a CNN-Based ApproachJ A de Jesús Osuna-Coutiño, Jose Martinez-Carranza
Sensors (Basel, Switzerland)|November 27, 2019
A Monocular SLAM-based Controller for Multirotors with Sensor Faults under Ground EffectAntonio Matus-Vargas, Gustavo Rodriguez-Gomez, Jose Martinez-Carranza
The Review of Scientific Instruments|December 2, 2021
Single-pixel imaging: An overview of different methods to be used for 3D space reconstruction in harsh environmentsCarlos A Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|September 14, 2023
Deep-learning blurring correction of images obtained from NIR single-pixel imagingCarlos Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Journal of the Optical Society of America. A, Optics, Image Science, and Vision|March 4, 2024
Enhancing 3D human pose estimation with NIR single-pixel imaging and time-of-flight technology: a deep learning approachCarlos Osorio Quero, Daniel Durini, Jose Rangel-Magdaleno, et al.
Pageof 2