84 citations · 327 across the 26 of their papers we have counts for
27 papers
Which Direction to Choose? An Analysis on the Representation Power of Self-Supervised ViTs in Downstream Tasks
Yannis Kaltampanidis, Alexandros Doumanoglou, Dimitrios Zarpalas
Self-Supervised Learning (SSL) for Vision Transformers (ViTs) has recently demonstrated considerable potential as a pre-training strategy for a variety of computer vision tasks, in…
Learning Encoding-Decoding Direction Pairs to Unveil Concepts of Influence in Deep Vision Networks
Alexandros Doumanoglou, Kurt Driessens, Dimitrios Zarpalas
Empirical evidence shows that deep vision networks often represent concepts as directions in latent space with concept information written along directional components in the vecto…
Unsupervised Interpretable Basis Extraction for Concept-Based Visual Explanations
Alexandros Doumanoglou, Stylianos Asteriadis, Dimitrios Zarpalas
An important line of research attempts to explain CNN image classifier predictions and intermediate layer representations in terms of human-understandable concepts. Previous work s…
Cross-Stitched Multi-task Dual Recursive Networks for Unified Single Image Deraining and Desnowing
Sotiris Karavarsamis, Alexandros Doumanoglou, Konstantinos Konstantoudakis +1
We present the Cross-stitched Multi-task Unified Dual Recursive Network (CMUDRN) model targeting the task of unified deraining and desnowing in a multi-task learning setting. This…
Hybrid Skip: A Biologically Inspired Skip Connection for the UNet Architecture
Nikolaos Zioulis, Georgios Albanis, Petros Drakoulis +3
In this work we introduce a biologically inspired long-range skip connection for the UNet architecture that relies on the perceptual illusion of hybrid images, being images that si…
Monocular Spherical Depth Estimation with Explicitly Connected Weak Layout Cues
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas +1
Spherical cameras capture scenes in a holistic manner and have been used for room layout estimation. Recently, with the availability of appropriate datasets, there has also been pr…
Towards Full-to-Empty Room Generation with Structure-Aware Feature Encoding and Soft Semantic Region-Adaptive Normalization
Vasileios Gkitsas, Nikolaos Zioulis, Vladimiros Sterzentsenko +2
The task of transforming a furnished room image into a background-only is extremely challenging since it requires making large changes regarding the scene context while still prese…
A benchmark with decomposed distribution shifts for 360 monocular depth estimation
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis +3
In this work we contribute a distribution shift benchmark for a computer vision task; monocular depth estimation. Our differentiation is the decomposition of the wider distribution…
On Coordinate Decoding for Keypoint Estimation Tasks
Anargyros Chatzitofis, Nikolaos Zioulis, Georgios Nikolaos Albanis +2
A series of 2D (and 3D) keypoint estimation tasks are built upon heatmap coordinate representation, i.e. a probability map that allows for learnable and spatially aware encoding an…
HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media
Anargyros Chatzitofis, Leonidas Saroglou, Prodromos Boutis +9
We introduce HUMAN4D, a large and multimodal 4D dataset that contains a variety of human activities simultaneously captured by a professional marker-based MoCap, a volumetric captu…
DeepMoCap: Deep Optical Motion Capture Using Multiple Depth Sensors and Retro-Reflectors
Anargyros Chatzitofis, Dimitrios Zarpalas, Stefanos Kollias +1
In this paper, a marker-based, single-person optical motion capture method (DeepMoCap) is proposed using multiple spatio-temporally aligned infrared-depth sensors and retro-reflect…
Pano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation
Georgios Albanis, Nikolaos Zioulis, Petros Drakoulis +5
Pano3D is a new benchmark for depth estimation from spherical panoramas. It aims to assess performance across all depth estimation traits, the primary direct depth estimation perfo…
Hyper360 -- a Next Generation Toolset for Immersive Media
Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou +7
Spherical 360° video is a novel media format, rapidly becoming adopted in media production and consumption of immersive media. Due to its novelty, there is a lack of tools for prod…
Serverless Streaming for Emerging Media: Towards 5G Network-Driven Cost Optimization
Konstantinos Konstantoudakis, David Breitgand, Alexandros Doumanoglou +7
Immersive 3D media is an emerging type of media that captures, encodes and reconstructs the 3D appearance of people and objects, with applications in tele-presence, teleconference,…
Single-Shot Cuboids: Geodesics-based End-to-end Manhattan Aligned Layout Estimation from Spherical Panoramas
Nikolaos Zioulis, Federico Alvarez, Dimitrios Zarpalas +1
It has been shown that global scene understanding tasks like layout estimation can benefit from wider field of views, and specifically spherical panoramas. While much progress has…
SHREC 2020 track: 6D Object Pose Estimation
Honglin Yuan, Remco C. Veltkamp, Georgios Albanis +3
6D pose estimation is crucial for augmented reality, virtual reality, robotic manipulation and visual navigation. However, the problem is challenging due to the variety of objects…
DronePose: Photorealistic UAV-Assistant Dataset Synthesis for 3D Pose Estimation via a Smooth Silhouette Loss
Georgios Albanis, Nikolaos Zioulis, Anastasios Dimou +2
In this work we consider UAVs as cooperative agents supporting human users in their operations. In this context, the 3D localisation of the UAV assistant is an important task that…
Deep Lighting Environment Map Estimation from Spherical Panoramas
Vasileios Gkitsas, Nikolaos Zioulis, Federico Alvarez +2
Estimating a scene's lighting is a very important task when compositing synthetic content within real environments, with applications in mixed reality and post-production. In this…
The Hyper360 toolset for enriched 360 video
Hannes Fassold, Antonis Karakottas, Dorothea Tsatsou +7
360 video is a novel media format, rapidly becoming adopted in media production and consumption as part of todays ongoing virtual reality revolution. Due to its novelty, th…
Deep Soft Procrustes for Markerless Volumetric Sensor Alignment
Vladimiros Sterzentsenko, Alexandros Doumanoglou, Spyridon Thermos +3
With the advent of consumer grade depth sensors, low-cost volumetric capture systems are easier to deploy. Their wider adoption though depends on their usability and by extension o…
Restyling Data: Application to Unsupervised Domain Adaptation
Vasileios Gkitsas, Antonis Karakottas, Nikolaos Zioulis +2
Machine learning is driven by data, yet while their availability is constantly increasing, training data require laborious, time consuming and error-prone labelling or ground truth…
Spherical View Synthesis for Self-Supervised 360 Depth Estimation
Nikolaos Zioulis, Antonis Karakottas, Dimitrios Zarpalas +2
Learning based approaches for depth perception are limited by the availability of clean training data. This has led to the utilization of view synthesis as an indirect objective fo…
Surface Regression with a Hyper-Sphere Loss
Antonis Karakottas, Nikolaos Zioulis, Stamatis Samaras +4
Omnidirectional vision is becoming increasingly relevant as more efficient image acquisition is now possible. However, the lack of annotated datasets has hindered t…
Self-Supervised Deep Depth Denoising
Vladimiros Sterzentsenko, Leonidas Saroglou, Anargyros Chatzitofis +5
Depth perception is considered an invaluable source of information for various vision tasks. However, depth maps acquired using consumer-level sensors still suffer from non-negligi…