Maksim Siniukov

Orcid: 0000-0001-8529-2281

According to our database1, Maksim Siniukov authored at least 14 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
GDPO-Listener: Expressive Interactive Head Generation via Auto-Regressive Flow Matching and Group reward-Decoupled Policy Optimization.
CoRR, March, 2026

AVERE: Improving Audiovisual Emotion Reasoning with Preference Optimization.
CoRR, February, 2026

Discrete Facial Encoding: A Framework for Data-driven Facial Display Discovery.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

LibreFace 2.0: A Generalizable Facial Expression Analysis Toolkit Leveraging Synthetic Data.
Proceedings of the 20th IEEE International Conference on Automatic Face and Gesture Recognition, 2026

2025
Towards a Generalizable Speech Marker for Parkinson's Disease Diagnosis.
CoRR, January, 2025

Ditailistener: Controllable High Fidelity Listener Video Generation with Diffusion.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2025

2024
Dyadic Interaction Modeling for Social Behavior Generation.
CoRR, 2024

SEMPI: A Database for Understanding Social Engagement in Video-Mediated Multiparty Interaction.
Proceedings of the 26th International Conference on Multimodal Interaction, 2024

DIM: Dyadic Interaction Modeling for Social Behavior Generation.
Proceedings of the Computer Vision - ECCV 2024, 2024

2023
Unveiling the Limitations of Novel Image Quality Metrics.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Applicability limitations of differentiable full-reference image-quality metrics.
Proceedings of the Data Compression Conference, 2023

2022
Applicability limitations of differentiable full-reference image-quality.
CoRR, 2022

2021
Hacking VMAF and VMAF NEG: metrics vulnerability to different preprocessing.
CoRR, 2021

Hacking VMAF and VMAF NEG: Vulnerability to Different Preprocessing Methods.
Proceedings of the AICCC 2021: 4th Artificial Intelligence and Cloud Computing Conference, Kyoto, Japan, December 17, 2021


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