Avinab Saha

Orcid: 0000-0003-2636-4737

According to our database1, Avinab Saha authored at least 15 papers between 2019 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals.
CoRR, February, 2026

TABES: Trajectory-Aware Backward-on-Entropy Steering for Masked Diffusion Models.
CoRR, February, 2026

HoloQA: Full Reference Video Quality Assessor of Rendered Human Avatars in Virtual Reality.
IEEE Trans. Image Process., 2026

2025
FaceExpressions-70k: A Dataset of Perceived Expression Differences.
Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2025

Focus-N-Fix: Region-Aware Fine-Tuning for Text-to-Image Generation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality.
IEEE Trans. Image Process., 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
CoRR, 2024

Exploring Explainability in Video Action Recognition.
Proceedings of the 3rd Explainable AI for Computer Vision (XAI4CV) Workshop, 2024

HIDRO-VQA: High Dynamic Range Oracle for Video Quality Assessment.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Study of Subjective and Objective Quality Assessment of Mobile Cloud Gaming Videos.
IEEE Trans. Image Process., 2023

GAMIVAL: Video Quality Prediction on Mobile Cloud Gaming Content.
IEEE Signal Process. Lett., 2023

Re-IQA: Unsupervised Learning for Image Quality Assessment in the Wild.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2020
Knowledge Distillation Inspired Fine-Tuning Of Tucker Decomposed CNNS and Adversarial Robustness Analysis.
Proceedings of the IEEE International Conference on Image Processing, 2020

2019
Fitness Based Layer Rank Selection Algorithm for Accelerating Cnns by Candecomp/Parafac (CP) Decompositions.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019


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