Juan Castorena

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 21

Top Topics

Autocalibration

Top Venues

IEEE Robotics Autom. Lett.

Publications

Juan Castorena
Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring. CoRR (2024)
Juan Castorena, L. Turin Dickman, Adam J. Killebrew, James R. Gattiker, Rod Linn, E. Louise Loudermilk
Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry. CoRR (2023)
Juan Castorena
Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring. MICAI (2) (2023)
Juan Castorena
Representation Disentaglement via Regularization by Identification. CoRR (2023)
Michal Kucer, Diane Oyen, Juan Castorena, Jian Wu
DeepPatent: Large scale patent drawing recognition and retrieval. WACV (2022)
Juan Castorena, Diane Oyen
Spectroscopynet: Learning to Pre-Process Spectroscopy Signals Without Clean Data. IEEECONF (2022)
Juan Castorena, Diane Oyen
Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data. CoRR (2021)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CoRR (2020)
Juan Castorena, Gintaras V. Puskorius, Gaurav Pandey
Motion Guided LiDAR-Camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles. J. Intell. Robotic Syst. 100 (3) (2020)
Juan Castorena, Diane Oyen, Ann Ollila, Carey Legget, Nina Lanza
Deep Spectral CNN for Laser Induced Breakdown Spectroscopy. CoRR (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CoRR (2020)
Juan Castorena, Manish Bhattarai, Diane Oyen
Learning Spatial Relationships between Samples of Patent Image Shapes. CVPR Workshops (2020)
Juan Castorena, Diane Oyen
Learning Shapes on Image Sampled Points with Dynamic Graph CNNs. SSIAI (2020)
Manish Bhattarai, Diane Oyen, Juan Castorena, Liping Yang, Brendt Wohlberg
Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning. CVPR Workshops (2020)
Juan Castorena
Computational Mapping of the Ground Reflectivity With Laser Scanners. IEEE Trans. Image Process. 28 (9) (2019)
Juan Castorena, Gint Puskorius, Gaurav Pandey
Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution. CoRR (2018)
Juan Castorena, Siddharth Agarwal
Ground-Edge-Based LIDAR Localization Without a Reflectivity Calibration for Autonomous Driving. IEEE Robotics Autom. Lett. 3 (1) (2018)
Juan Castorena, Siddharth Agarwal
Ground Edge based LIDAR Localization without a Reflectivity Calibration for Autonomous Driving. CoRR (2017)
Juan Castorena, Ulugbek S. Kamilov, Petros T. Boufounos
Autocalibration of lidar and optical cameras via edge alignment. ICASSP (2016)
Charles D. Creusere, Juan Castorena, Ivan Dragulin, David G. Voelz
Quantifying the accuracy of FRI-based LIDAR waveform analysis. ICIP (2016)
Juan Castorena
Computational Mapping of the Ground Reflectivity with Laser Scanners. CoRR (2016)
Juan Castorena, Charles D. Creusere
Sampling of Time-Resolved Full-Waveform LIDAR Signals at Sub-Nyquist Rates. IEEE Trans. Geosci. Remote. Sens. 53 (7) (2015)
Juan Castorena, Charles D. Creusere
The Restricted Isometry Property for Banded Random Matrices. IEEE Trans. Signal Process. 62 (19) (2014)
Juan Castorena, Charles D. Creusere
Sub-spot localization for spatial super-resolved LIDAR. ICASSP (2013)
Juan Castorena, Charles D. Creusere
Random impulsive scan for lidar sampling. ICIP (2012)
Juan Castorena, Charles D. Creusere
Compressive sampling of LIDAR: Full-waveforms as signals of finite rate of innovation. EUSIPCO (2012)
Juan Castorena, Charles D. Creusere, David G. Voelz
Modeling lidar scene sparsity using compressive sensing. IGARSS (2010)