312 citations · 384 across the 28 of their papers we have counts for
28 papers · 1 filter
Understanding Multimodal Complementarity for Single-Frame Action Anticipation
Manuel Benavent-Lledo, Konstantinos Bacharidis, Konstantinos Papoutsakis +2
Human action anticipation is commonly treated as a video understanding problem, implicitly assuming that dense temporal information is required to reason about future actions. In t…
OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting
Michail Spanakis, Iason Oikonomidis, Antonis Argyros
Class-Agnostic object Counting (CAC) involves counting instances of objects from arbitrary classes within an image. Due to its practical importance, CAC has received increasing att…
Combining Facial Videos and Biosignals for Stress Estimation During Driving
Paraskevi Valergaki, Vassilis C. Nicodemou, Iason Oikonomidis +2
Reliable stress recognition is critical in applications such as medical monitoring and safety-critical systems, including real-world driving. While stress is commonly detected usin…
Action Anticipation at a Glimpse: To What Extent Can Multimodal Cues Replace Video?
Manuel Benavent-Lledo, Konstantinos Bacharidis, Victoria Manousaki +3
Anticipating actions before they occur is a core challenge in action understanding research. While conventional methods rely on extracting and aggregating temporal information from…
Vision-Based Mistake Analysis in Procedural Activities: A Review of Advances and Challenges
Konstantinos Bacharidis, Antonis A. Argyros
Mistake analysis in procedural activities is a critical area of research with applications spanning industrial automation, physical rehabilitation, education and human-robot collab…
Enhancing Monocular 3D Hand Reconstruction with Learned Texture Priors
Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis +2
We revisit the role of texture in monocular 3D hand reconstruction, not as an afterthought for photorealism, but as a dense, spatially grounded cue that can actively support pose a…
Y-MAP-Net: Real-time depth, normals, segmentation, multi-label captioning and 2D human pose in RGB images
Ammar Qammaz, Nikolaos Vasilikopoulos, Iason Oikonomidis +1
We present Y-MAP-Net, a Y-shaped neural network architecture designed for real-time multi-task learning on RGB images. Y-MAP-Net, simultaneously predicts depth, surface normals, hu…
D-PoSE: Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation
Nikolaos Vasilikopoulos, Drosakis Drosakis, Antonis Argyros
We present D-PoSE (Depth as an Intermediate Representation for 3D Human Pose and Shape Estimation), a one-stage method that estimates human pose and SMPL-X shape parameters from a…
Enhancing Action Recognition by Leveraging the Hierarchical Structure of Actions and Textual Context
Manuel Benavent-Lledo, David Mulero-Pérez, David Ortiz-Perez +2
We propose a novel approach to improve action recognition by exploiting the hierarchical organization of actions and by incorporating contextualized textual information, including…
ENACT: Entropy-based Clustering of Attention Input for Reducing the Computational Needs of Object Detection Transformers
Giorgos Savathrakis, Antonis Argyros
Transformers demonstrate competitive performance in terms of precision on the problem of vision-based object detection. However, they require considerable computational resources d…
Anticipating Object State Changes in Long Procedural Videos
Victoria Manousaki, Konstantinos Bacharidis, Filippos Gouidis +3
In this work, we introduce (a) the new problem of anticipating object state changes in images and videos during procedural activities, (b) new curated annotation data for object st…
Recognizing Unseen States of Unknown Objects by Leveraging Knowledge Graphs
Filipos Gouidis, Konstantinos Papoutsakis, Theodore Patkos +2
We investigate the problem of Object State Classification (OSC) as a zero-shot learning problem. Specifically, we propose the first Object-agnostic State Classification (OaSC) meth…
TAPE: Temporal Attention-based Probabilistic human pose and shape Estimation
Nikolaos Vasilikopoulos, Nikos Kolotouros, Aggeliki Tsoli +1
Reconstructing 3D human pose and shape from monocular videos is a well-studied but challenging problem. Common challenges include occlusions, the inherent ambiguities in the 2D to…
Graphing the Future: Activity and Next Active Object Prediction using Graph-based Activity Representations
Victoria Manousaki, Konstantinos Papoutsakis, Antonis Argyros
We present a novel approach for the visual prediction of human-object interactions in videos. Rather than forecasting the human and object motion or the future hand-object contact…
PE-former: Pose Estimation Transformer
Paschalis Panteleris, Antonis Argyros
Vision transformer architectures have been demonstrated to work very effectively for image classification tasks. Efforts to solve more challenging vision tasks with transformers re…
Detecting Object States vs Detecting Objects: A New Dataset and a Quantitative Experimental Study
Filippos Gouidis, Theodore Patkos, Antonis Argyros +1
The detection of object states in images (State Detection - SD) is a problem of both theoretical and practical importance and it is tightly interwoven with other important computer…
Multi-view Image-based Hand Geometry Refinement using Differentiable Monte Carlo Ray Tracing
Giorgos Karvounas, Nikolaos Kyriazis, Iason Oikonomidis +2
The amount and quality of datasets and tools available in the research field of hand pose and shape estimation act as evidence to the significant progress that has been made.Howeve…
H-GAN: the power of GANs in your Hands
Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez +7
We present HandGAN (H-GAN), a cycle-consistent adversarial learning approach implementing multi-scale perceptual discriminators. It is designed to translate synthetic images of han…
A Review on Deep Learning Techniques for Video Prediction
Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia +4
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems. In light of the success of deep learning in computer…
A Review on Intelligent Object Perception Methods Combining Knowledge-based Reasoning and Machine Learning
Filippos Gouidis, Alexandros Vassiliades, Theodore Patkos +3
Object perception is a fundamental sub-field of Computer Vision, covering a multitude of individual areas and having contributed high-impact results. While Machine Learning has bee…
ReActNet: Temporal Localization of Repetitive Activities in Real-World Videos
Giorgos Karvounas, Iason Oikonomidis, Antonis Argyros
We address the problem of temporal localization of repetitive activities in a video, i.e., the problem of identifying all segments of a video that contain some sort of repetitive o…
Accurate Hand Keypoint Localization on Mobile Devices
Filippos Gouidis, Paschalis Panteleris, Iason Oikonomidis +1
We present a novel approach for 2D hand keypoint localization from regular color input. The proposed approach relies on an appropriately designed Convolutional Neural Network (CNN)…
Learning to Infer the Depth Map of a Hand from its Color Image
Vassilis C. Nicodemou, Iason Oikonomidis, Georgios Tzimiropoulos +1
We propose the first approach to the problem of inferring the depth map of a human hand based on a single RGB image. We achieve this with a Convolutional Neural Network (CNN) that…
HANDS18: Methods, Techniques and Applications for Hand Observation
Iason Oikonomidis, Guillermo Garcia-Hernando, Angela Yao +3
This report outlines the proceedings of the Fourth International Workshop on Observing and Understanding Hands in Action (HANDS 2018). The fourth instantiation of this workshop att…