33 citations · 99 across the 15 of their papers we have counts for
16 papers · 1 filter
Human Identification at a Distance: Challenges, Methods and Results on the Competition HID 2025
Jingzhe Ma, Meng Zhang, Jianlong Yu +34
Human identification at a distance (HID) is challenging because traditional biometric modalities such as face and fingerprints are often difficult to acquire in real-world scenario…
DeepArUco++: Improved detection of square fiducial markers in challenging lighting conditions
Rafael Berral-Soler, Rafael Muñoz-Salinas, Rafael Medina-Carnicer +1
Fiducial markers are a computer vision tool used for object pose estimation and detection. These markers are highly useful in fields such as industry, medicine and logistics. Howev…
Cross-Modality Gait Recognition: Bridging LiDAR and Camera Modalities for Human Identification
Rui Wang, Chuanfu Shen, Manuel J. Marin-Jimenez +2
Current gait recognition research mainly focuses on identifying pedestrians captured by the same type of sensor, neglecting the fact that individuals may be captured by different s…
Lightweight Structure-Aware Attention for Visual Understanding
Heeseung Kwon, Francisco M. Castro, Manuel J. Marin-Jimenez +2
Attention operator has been widely used as a basic brick in visual understanding since it provides some flexibility through its adjustable kernels. However, this operator suffers f…
LAEO-Net++: revisiting people Looking At Each Other in videos
Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez +1
Capturing the 'mutual gaze' of people is essential for understanding and interpreting the social interactions between them. To this end, this paper addresses the problem of detecti…
RealHePoNet: a robust single-stage ConvNet for head pose estimation in the wild
Rafael Berral-Soler, Francisco J. Madrid-Cuevas, Rafael Muñoz-Salinas +1
Human head pose estimation in images has applications in many fields such as human-computer interaction or video surveillance tasks. In this work, we address this problem, defined…
iLGaCo: Incremental Learning of Gait Covariate Factors
Zihao Mu, Francisco M. Castro, Manuel J. Marin-Jimenez +3
Gait is a popular biometric pattern used for identifying people based on their way of walking. Traditionally, gait recognition approaches based on deep learning are trained using t…
LAEO-Net: revisiting people Looking At Each Other in videos
Manuel J. Marin-Jimenez, Vicky Kalogeiton, Pablo Medina-Suarez +1
Capturing the `mutual gaze' of people is essential for understanding and interpreting the social interactions between them. To this end, this paper addresses the problem of detecti…
Energy-based Tuning of Convolutional Neural Networks on Multi-GPUs
Francisco M. Castro, Nicolás Guil, Manuel J. Marín-Jiménez +2
Deep Learning (DL) applications are gaining momentum in the realm of Artificial Intelligence, particularly after GPUs have demonstrated remarkable skills for accelerating their cha…
3D human pose estimation from depth maps using a deep combination of poses
Manuel J. Marin-Jimenez, Francisco J. Romero-Ramirez, Rafael Muñoz-Salinas +1
Many real-world applications require the estimation of human body joints for higher-level tasks as, for example, human behaviour understanding. In recent years, depth sensors have…
End-to-End Incremental Learning
Francisco M. Castro, Manuel J. Marín-Jiménez, Nicolás Guil +2
Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from catastrophic forgetting, a dramatic decrease in…
Multimodal feature fusion for CNN-based gait recognition: an empirical comparison
Francisco Manuel Castro, Manuel Jesús Marín-Jiménez, Nicolás Guil +1
People identification in video based on the way they walk (i.e. gait) is a relevant task in computer vision using a non-invasive approach. Standard and current approaches typically…
Mapping and Localization from Planar Markers
Rafael Muñoz-Salinas, Manuel J. Marín-Jimenez, Enrique Yeguas-Bolivar +1
Squared planar markers are a popular tool for fast, accurate and robust camera localization, but its use is frequently limited to a single marker, or at most, to a small set of the…
Automatic learning of gait signatures for people identification
F. M. Castro, M. J. Marin-Jimenez, N. Guil +1
This work targets people identification in video based on the way they walk (i.e. gait). While classical methods typically derive gait signatures from sequences of binary silhouett…
Fisher Motion Descriptor for Multiview Gait Recognition
F. M. Castro, M. J. Marín-Jiménez, N. Guil +1
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluat…
Pyramidal Fisher Motion for Multiview Gait Recognition
F. M. Castro, M. J. Marin-Jimenez, R. Medina-Carnicer
The goal of this paper is to identify individuals by analyzing their gait. Instead of using binary silhouettes as input data (as done in many previous works) we propose and evaluat…