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Gilberto Ochoa-Ruiz

Identifiers

  • name variant Gilberto Ochoa-Ruiz 0.60 · backfill

Papers (41)

  1. A reconfigurable smart camera implementation for jet flames characterization based on an optimized segmentation model cs.CV · 2026 · author #10
  2. Vision Transformers for Kidney Stone Image Classification: A Comparative Study with CNNs cs.CV · 2025 · author #5
  3. Evaluation of Few-Shot Learning Methods for Kidney Stone Type Recognition in Ureteroscopy cs.CV · 2025 · author #5
  4. Assessing the generalization performance of SAM for ureteroscopy scene understanding eess.IV · 2025 · author #4
  5. Tackling domain generalization for out-of-distribution endoscopic imaging cs.CV · 2024 · author #2
  6. Leveraging Pre-trained Models for Robust Federated Learning for Kidney Stone Type Recognition cs.CV · 2024 · author #3
  7. EndoDepth: A Benchmark for Assessing Robustness in Endoscopic Depth Prediction cs.CV · 2024 · author #4
  8. Evaluating the plausibility of synthetic images for improving automated endoscopic stone recognition cs.CV · 2024 · author #8
  9. Improving Prototypical Parts Abstraction for Case-Based Reasoning Explanations Designed for the Kidney Stone Type Recognition cs.CV · 2024 · author #7
  10. Domain Generalization for Endoscopic Image Segmentation by Disentangling Style-Content Information and SuperPixel Consistency cs.CV · 2024 · author #3
  11. FAU-Net: An Attention U-Net Extension with Feature Pyramid Attention for Prostate Cancer Segmentation eess.IV · 2023 · author #5
  12. An FPGA smart camera implementation of segmentation models for drone wildfire imagery cs.CV · 2023 · author #8
  13. Assessing the performance of deep learning-based models for prostate cancer segmentation using uncertainty scores eess.IV · 2023 · author #3
  14. A metric learning approach for endoscopic kidney stone identification cs.CV · 2023 · author #7
  15. SuSana Distancia is all you need: Enforcing class separability in metric learning via two novel distance-based loss functions for few-shot image classification cs.CV · 2023 · author #7
  16. Isolated Sign Language Recognition based on Tree Structure Skeleton Images cs.CV · 2023 · author #4
  17. Deep Prototypical-Parts Ease Morphological Kidney Stone Identification and are Competitively Robust to Photometric Perturbations cs.CV · 2023 · author #6
  18. Improving automatic endoscopic stone recognition using a multi-view fusion approach enhanced with two-step transfer learning eess.IV · 2023 · author #6
  19. Deep learning-based image exposure enhancement as a pre-processing for an accurate 3D colon surface reconstruction eess.IV · 2023 · author #3
  20. SUPRA: Superpixel Guided Loss for Improved Multi-modal Segmentation in Endoscopy cs.CV · 2022 · author #3
  21. Improved Kidney Stone Recognition Through Attention and Multi-View Feature Fusion Strategies cs.CV · 2022 · author #6
  22. Multi-Scale Structural-aware Exposure Correction for Endoscopic Imaging eess.IV · 2022 · author #6
  23. Boosting Kidney Stone Identification in Endoscopic Images Using Two-Step Transfer Learning cs.CV · 2022 · author #8
  24. A semi-supervised Teacher-Student framework for surgical tool detection and localization cs.CV · 2022 · author #2
  25. Knowledge distillation with a class-aware loss for endoscopic disease detection cs.CV · 2022 · author #3
  26. Comparison of automatic prostate zones segmentation models in MRI images using U-net-like architectures eess.IV · 2022 · author #2
  27. MACFE: A Meta-learning and Causality Based Feature Engineering Framework cs.LG · 2022 · author #3
  28. A Novel Hybrid Endoscopic Dataset for Evaluating Machine Learning-based Photometric Image Enhancement Models eess.IV · 2022 · author #3
  29. Evaluating object detector ensembles for improving the robustness of artifact detection in endoscopic video streams cs.CV · 2022 · author #4
  30. Computer Vision-based Characterization of Large-scale Jet Flames using a Synthetic Infrared Image Generation Approach cs.CV · 2022 · author #4
  31. Guided Deep Metric Learning cs.CV · 2022 · author #5
  32. Impact of loss function in Deep Learning methods for accurate retinal vessel segmentation eess.IV · 2022 · author #2
  33. Interpretable Deep Learning Classifier by Detection of Prototypical Parts on Kidney Stones Images cs.CV · 2022 · author #6
  34. Comparing feature fusion strategies for Deep Learning-based kidney stone identification cs.CV · 2022 · author #4
  35. On the in vivo recognition of kidney stones using machine learning eess.IV · 2022 · author #6
  36. Experimental Large-Scale Jet Flames' Geometrical Features Extraction for Risk Management Using Infrared Images and Deep Learning Segmentation Methods cs.CV · 2022 · author #3
  37. Real-time Instance Segmentation of Surgical Instruments using Attention and Multi-scale Feature Fusion eess.IV · 2021 · author #2
  38. Comparing Machine Learning based Segmentation Models on Jet Fire Radiation Zones cs.CV · 2021 · author #3
  39. Finding Significant Features for Few-Shot Learning using Dimensionality Reduction cs.LG · 2021 · author #3
  40. A Bop and Beyond: A Second Order Optimizer for Binarized Neural Networks cs.CV · 2021 · author #4
  41. Assessing YOLACT++ for real time and robust instance segmentation of medical instruments in endoscopic procedures cs.CV · 2021 · author #3

Mentions

  • 2508.13461 #5 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2505.17921 #5 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2505.17210 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2211.02967 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2210.15033 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2210.13654 #8 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2410.14821 #2 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2409.19934 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2409.19930 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2409.13409 #8 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2409.12883 #7 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2409.12450 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2309.01322 #5 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2309.01318 #8 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2201.08865 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2304.03193 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2308.04653 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2307.07046 #7 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2305.09062 #7 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2304.03171 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2304.05403 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2211.04658 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2304.04077 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2208.09926 #2 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2207.09530 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2207.09483 #2 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2207.04010 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2207.02396 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.07580 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.02110 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.02029 #5 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.00252 #6 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.00536 #2 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2206.00069 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2201.07931 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2107.06992 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2107.03461 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2103.15997 #3 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2104.05124 #4 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz
  • 2111.04911 #2 · arxiv_oai · confidence 0.70 Gilberto Ochoa-Ruiz

Frequent Coauthors