Results 111 to 120 of about 103,551 (264)
Empowering Efficient Spatio-Temporal Learning with a 3D CNN for Pose-Based Action Recognition
Action recognition based on 3D heatmap volumes has received increasing attention recently because it is suitable for application to 3D CNNs to improve the recognition performance of deep networks.
Ziliang Ren, Xiongjiang Xiao, Huabei Nie
doaj +1 more source
Expressive Gaussian Human Avatars from Monocular RGB Video
Nuanced expressiveness, particularly through fine-grained hand and facial expressions, is pivotal for enhancing the realism and vitality of digital human representations. In this work, we focus on investigating the expressiveness of human avatars when learned from monocular RGB video; a setting that introduces new challenges in capturing and animating ...
Hu, Hezhen +6 more
openaire +2 more sources
Artificial intelligence in preclinical epilepsy research: Current state, potential, and challenges
Abstract Preclinical translational epilepsy research uses animal models to better understand the mechanisms underlying epilepsy and its comorbidities, as well as to analyze and develop potential treatments that may mitigate this neurological disorder and its associated conditions. Artificial intelligence (AI) has emerged as a transformative tool across
Jesús Servando Medel‐Matus +7 more
wiley +1 more source
Multi-tasking computer control of video related equipment [PDF]
The flexibility, cost-effectiveness and widespread availability of personal computers now makes it possible to completely integrate the previously separate elements of video post-production into a single device. Specifically, a personal computer, such as
Gilbert, Bob, Molina, Rod
core +1 more source
ABSTRACT Fire sources in actual compartment fires exhibit a predominantly uneven spatial distribution. In this context, the impact of the height and location of the fire source, as well as the heat release rate (HRR) of the fire, on the thermal characteristics of Externally Venting Flames (EVF) is experimentally investigated.
Dionysios I. Kolaitis +1 more
wiley +1 more source
Object Pose Estimation Using Color Images and Predicted Depth Maps
The task of object pose estimation in computer vision heavily relies on both color (RGB) and depth (D) images to provide crucial appearance and geometric information, assisting algorithms in understanding occlusions and object geometry, thereby enhancing
Dinh-Cuong Hoang +14 more
doaj +1 more source
We have developed a technology enabling high‐resolution organic light‐emitting diode displays exceeding 1000 ppi with crystal indium oxide backplane. Introducing a partition wall between sub‐pixels and employing our novel OCTILE pixel arrangement allow application of a fine metal mask process to high‐resolution displays.
Shingo Eguchi +11 more
wiley +1 more source
XStreamVGGT enables memory‐efficient streaming 3D inference by jointly pruning and quantizing the KV cache. It reduces memory by 4.42× and accelerates inference by 5.48×, with negligible performance loss on depth, reconstruction, and pose estimation, overcoming the unbounded cache growth of StreamVGGT.
Zunhai Su +7 more
wiley +1 more source
A pothole video dataset for semantic segmentation
This paper introduces a video dataset for semantic segmentation of road potholes. This dataset contains 619 high-resolution videos captured in January 2023, covering locations in eight villages within the Hulu Sungai Tengah regency of South Kalimantan ...
Muhammad Ihsan +2 more
doaj +1 more source
Abstract Recent technological advancements have rapidly expanded our capacity for collecting image data in the marine environment, but processing images into meaningful ecological metrics remains a manual, time‐consuming, and biased process. This is particularly challenging with electro‐optical cabled imaging systems which generate images at a rate ...
Katharine T. Bigham, Ada Carter
wiley +1 more source

