activity
20172021
most citedPano3D: A Holistic Benchmark and a Solid Baseline for Depth Estimation

51 citations · 158 across the 9 of their papers we have counts for

collaborators

22 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.CV202130 cited

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…

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.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…