Zobrazeno 1 - 10
of 5 817
pro vyhledávání: '"LÓPEZ, ANTONIO"'
Understanding and predicting pedestrian crossing behavioral intention is crucial for autonomous vehicles driving safety. Nonetheless, challenges emerge when using promising images or environmental context masks to extract various factors for time-ser
Externí odkaz:
http://arxiv.org/abs/2409.20223
The last mile of unsupervised domain adaptation (UDA) for semantic segmentation is the challenge of solving the syn-to-real domain gap. Recent UDA methods have progressed significantly, yet they often rely on strategies customized for synthetic singl
Externí odkaz:
http://arxiv.org/abs/2406.18809
The development of Autonomous Driving (AD) systems in simulated environments like CARLA is crucial for advancing real-world automotive technologies. To drive innovation, CARLA introduced Leaderboard 2.0, significantly more challenging than its predec
Externí odkaz:
http://arxiv.org/abs/2406.08421
Back to the Color: Learning Depth to Specific Color Transformation for Unsupervised Depth Estimation
Autor:
Zhu, Yufan, Ran, Chongzhi, Feng, Mingtao, Wu, Fangfang, Dong, Le, Dong, Weisheng, López, Antonio M., Shi, Guangming
Virtual engines can generate dense depth maps for various synthetic scenes, making them invaluable for training depth estimation models. However, discrepancies between synthetic and real-world colors pose significant challenges for depth estimation i
Externí odkaz:
http://arxiv.org/abs/2406.07741
Autor:
Dionis-Ros, Alejandro, Vila-Francés, Joan, Magdalena-Benedicto, Rafael, Mateo, Fernando, Serrano-López, Antonio J.
In this article, we propose the detection of crowd anomalies through the extraction of information in the form of time series from video format using a multimodal approach. Through pattern recognition algorithms and segmentation, informative measures
Externí odkaz:
http://arxiv.org/abs/2405.12708
Autor:
Mateo, Fernando, Vila-Francés, Joan, Soria-Olivas, Emilio, Gómez-Sanchis, Marcelino Martínez-Sober Juan, Serrano-López, Antonio-José
Predictive maintenance in manufacturing industry applications is a challenging research field. Packaging machines are widely used in a large number of logistic companies' warehouses and must be working uninterruptedly. Traditionally, preventive maint
Externí odkaz:
http://arxiv.org/abs/2405.11960
Autor:
González-López, Antonio
Background: Calculating the characteristics of radiation emerging from radiation shielding to determine the level of safety in protected areas has been a widely studied topic in Radiation Protection due to its importance for the protection of the pub
Externí odkaz:
http://arxiv.org/abs/2405.10592
Unsupervised Domain Adaptation (UDA) aims to transfer knowledge learned from a labeled source domain to an unlabeled target domain. While UDA methods for synthetic to real-world domains (synth-to-real) show remarkable performance in tasks such as sem
Externí odkaz:
http://arxiv.org/abs/2405.09682