2 citations · 2 across the 4 of their papers we have counts for
12 papers
Towards holistic scene understanding: Semantic segmentation and beyond
Panagiotis Meletis
This dissertation addresses visual scene understanding and enhances segmentation performance and generalization, training efficiency of networks, and holistic understanding. First,…
Deep Adaptive Multi-Intention Inverse Reinforcement Learning
Ariyan Bighashdel, Panagiotis Meletis, Pavol Jancura +1
This paper presents a deep Inverse Reinforcement Learning (IRL) framework that can learn an a priori unknown number of nonlinear reward functions from unlabeled experts' demonstrat…
Merging Tasks for Video Panoptic Segmentation
Jake Rap, Panagiotis Meletis
In this paper, the task of video panoptic segmentation is studied and two different methods to solve the task will be proposed. Video panoptic segmentation (VPS) is a recently intr…
Part-aware Panoptic Segmentation
Daan de Geus, Panagiotis Meletis, Chenyang Lu +2
In this work, we introduce the new scene understanding task of Part-aware Panoptic Segmentation (PPS), which aims to understand a scene at multiple levels of abstraction, and unifi…
Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding
Panagiotis Meletis, Xiaoxiao Wen, Chenyang Lu +2
In this technical report, we present two novel datasets for image scene understanding. Both datasets have annotations compatible with panoptic segmentation and additionally they ha…
Fast Panoptic Segmentation Network
Daan de Geus, Panagiotis Meletis, Gijs Dubbelman
In this work, we present an end-to-end network for fast panoptic segmentation. This network, called Fast Panoptic Segmentation Network (FPSNet), does not require computationally co…