Lohic Fotio Tiotsop

Orcid: 0000-0001-5127-9935

According to our database1, Lohic Fotio Tiotsop authored at least 21 papers between 2019 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Multiple Image Distortion DNN Modeling Individual Subject Quality Assessment.
ACM Trans. Multim. Comput. Commun. Appl., August, 2024

Modeling Subject Scoring Behaviors in Subjective Experiments Based on a Discrete Quality Scale.
IEEE Trans. Multim., 2024

Subjective Media Quality Recovery From Noisy Raw Opinion Scores: A Non-Parametric Perspective.
IEEE Trans. Multim., 2024

2023
Predicting individual quality ratings of compressed images through deep CNNs-based artificial observers.
Signal Process. Image Commun., March, 2023

A Scoring Model Considering the Variability of Subjects' Characteristics in Subjective Experiments.
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

Training the DNN of a Single Observer by Conducting Individualized Subjective Experiments.
Proceedings of the 15th International Conference on Quality of Multimedia Experience, 2023

2022
Mimicking Individual Media Quality Perception with Neural Network based Artificial Observers.
ACM Trans. Multim. Comput. Commun. Appl., 2022

Workforce Allocation for Social Engagement Services via Stochastic Optimization.
Proceedings of the Recent Advances in Computational Optimization - Selected Papers from the WCO 2022, 2022

Regularized Maximum Likelihood Estimation of the Subjective Quality from Noisy Individual Ratings.
Proceedings of the 14th International Conference on Quality of Multimedia Experience, 2022

A chance-constraint approach for optimizing social engagement-based services.
Proceedings of the 17th Conference on Computer Science and Intelligence Systems, 2022

2021
Modeling and estimating the subjects' diversity of opinions in video quality assessment: a neural network based approach.
Multim. Tools Appl., 2021

Stochastic single machine scheduling problem as a multi-stage dynamic random decision process.
Comput. Manag. Sci., 2021

On the Link Between Subjective Score Prediction and Disagreement of Video Quality Metrics.
IEEE Access, 2021

How to Train No Reference Video Quality Measures for New Coding Standards using Existing Annotated Datasets?
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

2020
The Stochastic Multipath Traveling Salesman Problem with Dependent Random Travel Costs.
Transp. Sci., 2020

An integer linear programming model for efficient scheduling of UGV tasks in precision agriculture under human supervision.
Comput. Oper. Res., 2020

Full Reference Video Quality Measures Improvement Using Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Investigating Prediction Accuracy of Full Reference Objective Video Quality Measures through the ITS4S Dataset.
Proceedings of the Human Vision and Electronic Imaging 2020, 2020

Predicting Single Observer's Votes from Objective Measures using Neural Networks.
Proceedings of the Human Vision and Electronic Imaging 2020, 2020

2019
Optimally Scheduling Complex Logistics Operations Involving Acquisition, Elaboration and Action Tasks.
Proceedings of the 5th IEEE International forum on Research and Technology for Society and Industry, 2019

Computing Quality-of-Experience Ranges for Video Quality Estimation.
Proceedings of the 11th International Conference on Quality of Multimedia Experience QoMEX 2019, 2019


  Loading...