Juan Castorena

Orcid: 0000-0003-2617-5178

According to our database1, Juan Castorena authored at least 24 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
LoRID: Low-Rank Iterative Diffusion for Adversarial Purification.
CoRR, 2024

LaFA: Latent Feature Attacks on Non-negative Matrix Factorization.
CoRR, 2024

2023
Representation Disentaglement via Regularization by Identification.
CoRR, 2023

Automated Structural-level Alignment of Multi-view TLS and ALS Point Clouds in Forestry.
CoRR, 2023

Learning Neural Radiance Fields of Forest Structure for Scalable and Fine Monitoring.
Proceedings of the Advances in Soft Computing, 2023

2022
DeepPatent: Large scale patent drawing recognition and retrieval.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Spectroscopynet: Learning to Pre-Process Spectroscopy Signals Without Clean Data.
Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021
Learning to Pre-process Laser Induced Breakdown Spectroscopy Signals Without Clean Data.
CoRR, 2021

2020
Motion Guided LiDAR-Camera Self-calibration and Accelerated Depth Upsampling for Autonomous Vehicles.
J. Intell. Robotic Syst., 2020

Deep Spectral CNN for Laser Induced Breakdown Spectroscopy.
CoRR, 2020

Learning Shapes on Image Sampled Points with Dynamic Graph CNNs.
Proceedings of the IEEE Southwest Symposium on Image Analysis and Interpretation, 2020

Learning Spatial Relationships between Samples of Patent Image Shapes.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Diagram Image Retrieval using Sketch-Based Deep Learning and Transfer Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Computational Mapping of the Ground Reflectivity With Laser Scanners.
IEEE Trans. Image Process., 2019

2018
Ground-Edge-Based LIDAR Localization Without a Reflectivity Calibration for Autonomous Driving.
IEEE Robotics Autom. Lett., 2018

Motion Guided LIDAR-camera Autocalibration and Accelerated Depth Super Resolution.
CoRR, 2018

2016
Quantifying the accuracy of FRI-based LIDAR waveform analysis.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Autocalibration of lidar and optical cameras via edge alignment.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Sampling of Time-Resolved Full-Waveform LIDAR Signals at Sub-Nyquist Rates.
IEEE Trans. Geosci. Remote. Sens., 2015

2014
The Restricted Isometry Property for Banded Random Matrices.
IEEE Trans. Signal Process., 2014

2013
Sub-spot localization for spatial super-resolved LIDAR.
Proceedings of the IEEE International Conference on Acoustics, 2013

2012
Random impulsive scan for lidar sampling.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Compressive sampling of LIDAR: Full-waveforms as signals of finite rate of innovation.
Proceedings of the 20th European Signal Processing Conference, 2012

2010
Modeling lidar scene sparsity using compressive sensing.
Proceedings of the IEEE International Geoscience & Remote Sensing Symposium, 2010


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