b'Petros Daras'

research

∙ 10/19/2022

MC-hands-1M: A glove-wearing hand dataset for pose estimation

Nowadays, the need for large amounts of carefully and complexly annotate...

0 Prodromos Boutis, et al. ∙

research

∙ 07/18/2022

Multi-manifold Attention for Vision Transformers

Vision Transformer are very popular nowadays due to their state-of-the-a...

21 Dimitrios Konstantinidis, et al. ∙

research

∙ 07/11/2022

Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture

In this work we introduce a biologically inspired long-range skip connec...

15 Nikolaos Zioulis, et al. ∙

research

∙ 06/22/2022

Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues

Spherical cameras capture scenes in a holistic manner and have been used...

0 Nikolaos Zioulis, et al. ∙

research

∙ 12/01/2021

A benchmark with decomposed distribution shifts for 360 monocular depth estimation

In this work we contribute a distribution shift benchmark for a computer...

5 Georgios Albanis, et al. ∙

research

∙ 10/19/2021

On Coordinate Decoding for Keypoint Estimation Tasks

A series of 2D (and 3D) keypoint estimation tasks are built upon heatmap...

0 Anargyros Chatzitofis, et al. ∙

research

∙ 10/14/2021

DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors

In this paper, a marker-based, single-person optical motion capture meth...

0 Anargyros Chatzitofis, et al. ∙

research

∙ 10/14/2021

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

We introduce HUMAN4D, a large and multimodal 4D dataset that contains a ...

0 Anargyros Chatzitofis, et al. ∙

research

∙ 09/06/2021

Pano3D: A Holistic Benchmark and a Solid Baseline for 360^o Depth Estimation

Pano3D is a new benchmark for depth estimation from spherical panoramas....

9 Georgios Albanis, et al. ∙

research

∙ 02/09/2021

Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization

Immersive 3D media is an emerging type of media that captures, encodes a...

0 Konstantinos Konstantoudakis, et al. ∙

research

∙ 02/07/2021

Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas

It has been shown that global scene understanding tasks like layout esti...

0 Nikolaos Zioulis, et al. ∙

research

∙ 10/19/2020

SHREC 2020 track: 6D Object Pose Estimation

6D pose estimation is crucial for augmented reality, virtual reality, ro...

0 Honglin Yuan, et al. ∙

research

∙ 09/10/2020

Comprehensive Comparison of Deep Learning Models for Lung and COVID-19 Lesion Segmentation in CT scans

Recently there has been an explosion in the use of Deep Learning (DL) me...

0 Paschalis Bizopoulos, et al. ∙

research

∙ 08/20/2020

DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss

In this work we consider UAVs as cooperative agents supporting human use...

8 Georgios Albanis, et al. ∙

research

∙ 07/24/2020

A Comprehensive Study on Sign Language Recognition Methods

In this paper, a comparative experimental assessment of computer vision-...

3 Nikolas Adaloglou, et al. ∙

research

∙ 07/24/2020

Multi-view adaptive graph convolutions for graph classification

In this paper, a novel multi-view methodology for graph-based neural net...

0 Nikolas Adaloglou, et al. ∙

research

∙ 05/16/2020

Deep Lighting Environment Map Estimation from Spherical Panoramas

Estimating a scene's lighting is a very important task when compositing ...

45 Vasileios Gkitsas, et al. ∙

research

∙ 04/18/2020

A Deep Learning Approach to Object Affordance Segmentation

Learning to understand and infer object functionalities is an important ...

0 Spyridon Thermos, et al. ∙

research

∙ 03/23/2020

Deep Soft Procrustes for Markerless Volumetric Sensor Alignment

With the advent of consumer grade depth sensors, low-cost volumetric cap...

12 Vladimiros Sterzentsenko, et al. ∙

research

∙ 02/13/2020

DeepSurf: A surface-based deep learning approach for the prediction of ligand binding sites on proteins

The knowledge of potentially druggable binding sites on proteins is an i...

0 Stelios K. Mylonas, et al. ∙

research

∙ 11/14/2019

An Improved Tobit Kalman Filter with Adaptive Censoring Limits

This paper deals with the Tobit Kalman filtering (TKF) process when the ...

0 Kostas Loumponias, et al. ∙

research

∙ 09/24/2019

Restyling Data: Application to Unsupervised Domain Adaptation

Machine learning is driven by data, yet while their availability is cons...

17 Vasileios Gkitsas, et al. ∙

research

∙ 09/17/2019

Spherical View Synthesis for Self-Supervised 360 Depth Estimation

Learning based approaches for depth perception are limited by the availa...

2 Nikolaos Zioulis, et al. ∙

research

∙ 09/16/2019

360^o Surface Regression with a Hyper-Sphere Loss

Omnidirectional vision is becoming increasingly relevant as more efficie...

4 Antonis Karakottas, et al. ∙

research

∙ 09/03/2019

A Low-Cost, Flexible and Portable Volumetric Capturing System

Multi-view capture systems are complex systems to engineer. They require...

0 Vladimiros Sterzentsenko, et al. ∙

research

∙ 09/03/2019

Self-Supervised Deep Depth Denoising

Depth perception is considered an invaluable source of information for v...

48 Vladimiros Sterzentsenko, et al. ∙

research

∙ 12/03/2018

Examining Deep Learning Architectures for Crime Classification and Prediction

In this paper, a detailed study on crime classification and prediction u...

0 Panagiotis Stalidis, et al. ∙

research

∙ 07/25/2018

OmniDepth: Dense Depth Estimation for Indoors Spherical Panoramas

Recent work on depth estimation up to now has only focused on projective...

4 Nikolaos Zioulis, et al. ∙

research

∙ 12/08/2017

An Integrated Platform for Live 3D Human Reconstruction and Motion Capturing

The latest developments in 3D capturing, processing, and rendering provi...

0 Dimitrios S. Alexiadis, et al. ∙

research

∙ 08/23/2017

Non-linear Convolution Filters for CNN-based Learning

During the last years, Convolutional Neural Networks (CNNs) have achieve...

0 Georgios Zoumpourlis, et al. ∙

research

∙ 04/10/2017

Deep Affordance-grounded Sensorimotor Object Recognition

It is well-established by cognitive neuroscience that human perception o...

0 Spyridon Thermos, et al. ∙

Petros Daras

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