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20172026
most citedFaster and Simpler SNN Simulation with Work Queues

8 citations · 20 across the 11 of their papers we have counts for

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cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2024

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…

cs.CV2021★ 1 cited

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…

cs.CV2021

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…

cs.CV2019★ 2 cited

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…

cs.CV2018

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)…

cs.CV2018

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…

cs.CV2018

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…

cs.CV2017

Using a single RGB frame for real time 3D hand pose estimation in the wild

Paschalis Panteleris, Iason Oikonomidis, Antonis Argyros

We present a method for the real-time estimation of the full 3D pose of one or more human hands using a single commodity RGB camera. Recent work in the area has displayed impressiv…

cs.CV2017★ 6 cited

Depth-Based 3D Hand Pose Estimation: From Current Achievements to Future Goals

Shanxin Yuan, Guillermo Garcia-Hernando, Bjorn Stenger +21

In this paper, we strive to answer two questions: What is the current state of 3D hand pose estimation from depth images? And, what are the next challenges that need to be tackled?…