activity
20182023
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 119 across the 9 of their papers we have counts for

collaborators

16 papers

cs.CV2021

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…

cs.CV202148 cited

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…

cs.CV202151 cited

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…

cs.CV20211 cited

PanoDR: Spherical Panorama Diminished Reality for Indoor Scenes

V. Gkitsas, V. Sterzentsenko, N. Zioulis +2

The rising availability of commercial cameras that democratize indoor scanning, has increased the interest for novel applications, such as interior space re-design. Dim…

cs.NI202115 cited

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,…

cs.CV2021

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…