activity
20182026
most citedA Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

2.9k citations · 3.1k across the 6 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Scan or Index? large Evidence Coverage, Answer Quality, and Cost in Long-Document RAG

Juan Terven, Diana-Margarita Córdova-Esparza, Julio-Alejandro Romero-González +5

Scanning every passage in a long document seems thorough, but does it preserve more useful evidence or produce better answers? We compare 11 retrieval configurations spanning lexic…

cs.AI2026

RAIL: An Automatic Classifier of the Artificial Intelligence Readiness Level

Juan Irving Vasquez, Juan Terven, Laura-Ivoone Garay-Jimenez

Assessing the maturity of artificial intelligence technologies is essential for investment decisions, project management, and policy monitoring, yet the available readiness framewo…

cs.LG2026

A Strong Balanced-Softmax Classifier-Retraining Baseline for Long-Tailed Recognition

Juan Terven, Diana Margarita Córdova Esparza, Julio Alejandro Romero Gonzalez +4

Long-tailed recognition methods often modify losses, margins, or representations to reduce the dominance of frequent classes. We ask whether, after Balanced Softmax training, the r…

cs.CV2024★ 1 cited

Land Cover Image Classification

Antonio Rangel, Juan Terven, Diana M. Cordova-Esparza +1

Land Cover (LC) image classification has become increasingly significant in understanding environmental changes, urban planning, and disaster management. However, traditional LC me…

cs.LG2023★ 283 cited

Loss Functions and Metrics in Deep Learning

Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza +2

This paper presents a comprehensive review of loss functions and performance metrics in deep learning, highlighting key developments and practical insights across diverse applicati…

cs.CV2023★ 2.9k cited

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

Juan Terven, Diana Cordova-Esparza

YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications. We present a comprehensive analysis of YOLO's evolutio…

cs.CV2018★ 2 cited

Telepresence System based on Simulated Holographic Display

Diana-Margarita Córdova-Esparza, Juan Terven, Hugo Jiménez-Hernández +2

We present a telepresence system based on a custom-made simulated holographic display that produces a full 3D model of the remote participants using commodity depth sensors. Our di…