51 citations · 80 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
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…
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…