1 code implementation • 17 Jan 2024 • Antonio Rangel, Juan Terven, Diana M. Cordova-Esparza, E. A. Chavez-Urbiola
Land Cover (LC) image classification has become increasingly significant in understanding environmental changes, urban planning, and disaster management.
no code implementations • 5 Jul 2023 • Juan Terven, Diana M. Cordova-Esparza, Alfonso Ramirez-Pedraza, Edgar A. Chavez-Urbiola
One of the essential components of deep learning is the choice of the loss function and performance metrics used to train and evaluate models.
no code implementations • 2 Apr 2023 • Juan Terven, Diana Cordova-Esparza
YOLO has become a central real-time object detection system for robotics, driverless cars, and video monitoring applications.
no code implementations • ICCV 2023 • Zhixuan Li, Weining Ye, Juan Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang
To bridge this gap, we propose a new task called Multi-view Amodal Instance Segmentation (MAIS) and introduce the MUVA dataset, the first MUlti-View AIS dataset that takes the shopping scenario as instantiation.
1 code implementation • 6 Apr 2018 • Diana-Margarita Córdova-Esparza, Juan Terven, Hugo Jiménez-Hernández, Ana Herrera-Navarro, Alberto Vázquez-Cervantes Juan-M. García-Huerta
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.