Panagiotis Meletis

Orcid: 0000-0001-8054-1760

According to our database1, Panagiotis Meletis authored at least 15 papers between 2018 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

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Bibliography

2023
Training Semantic Segmentation on Heterogeneous Datasets.
CoRR, 2023

2022
Towards holistic scene understanding: Semantic segmentation and beyond.
CoRR, 2022

2021
Merging Tasks for Video Panoptic Segmentation.
CoRR, 2021

Deep Adaptive Multi-intention Inverse Reinforcement Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2021

TIED: A Cycle Consistent Encoder-Decoder Model for Text-to-Image Retrieval.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

Part-Aware Panoptic Segmentation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Fast Panoptic Segmentation Network.
IEEE Robotics Autom. Lett., 2020

Cityscapes-Panoptic-Parts and PASCAL-Panoptic-Parts datasets for Scene Understanding.
CoRR, 2020

Towards Equilibrium-based Interaction Modeling for Pedestrian Path Prediction.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

2019
A Domain Agnostic Normalization Layer for Unsupervised Adversarial Domain Adaptation.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

On Boosting Semantic Street Scene Segmentation with Weak Supervision.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Single Network Panoptic Segmentation for Street Scene Understanding.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Data Selection for training Semantic Segmentation CNNs with cross-dataset weak supervision.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

2018
Panoptic Segmentation with a Joint Semantic and Instance Segmentation Network.
CoRR, 2018

Training of Convolutional Networks on Multiple Heterogeneous Datasets for Street Scene Semantic Segmentation.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018


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