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Jingwen Zhu
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Publications
- 2024
- [c28]Vignesh V. Menon, Jingwen Zhu, Prajit T. Rajendran, Samira Afzal, Klaus Schoeffmann, Patrick Le Callet, Christian Timmerer:
Optimal Quality and Efficiency in Adaptive Live Streaming with JND-Aware Low latency Encoding. MHV 2024: 61-67 - [i8]Vignesh V. Menon, Jingwen Zhu, Prajit T. Rajendran, Samira Afzal, Klaus Schoeffmann, Patrick Le Callet, Christian Timmerer:
Optimal Quality and Efficiency in Adaptive Live Streaming with JND-Aware Low latency Encoding. CoRR abs/2401.15343 (2024) - 2023
- [c25]Jingwen Zhu, Ali Ak, Patrick Le Callet, Sriram Sethuraman, Kumar Rahul:
ZREC: Robust Recovery of Mean and Percentile Opinion Scores. ICIP 2023: 2630-2634 - [c24]Vignesh V. Menon, Jingwen Zhu, Prajit T. Rajendran, Hadi Amirpour, Patrick Le Callet, Christian Timmerer:
Just Noticeable Difference-Aware Per-Scene Bitrate-Laddering for Adaptive Video Streaming. ICME 2023: 1673-1678 - [c23]Jingwen Zhu, Hadi Amirpour, Vignesh V. Menon, Raimund Schatz, Patrick Le Callet:
Elevating Your Streaming Experience with Just Noticeable Difference (JND)-based Encoding. MHV 2023: 128-129 - [c21]Jiawen Liu, Jingwen Zhu, Patrick Le Callet:
Bridge the Gap between Visual Difference Prediction Model and Just Noticeable Difference Subjective Datasets. MMSP 2023: 1-5 - [c20]Jingwen Zhu, Ali Ak, Charles Dormeval, Patrick Le Callet, Kumar Rahul, Sriram Sethuraman:
Subjective Test Environments: A Multifaceted Examination of Their Impact on Test Results. IMX 2023: 298-302 - [c18]Jingwen Zhu, Hadi Amirpour, Raimund Schatz, Christian Timmerer, Patrick Le Callet:
Enhancing Satisfied User Ratio (SUR) Prediction for VMAF Proxy through Video Quality Metrics. VCIP 2023: 1-5 - [i7]Vignesh V. Menon, Jingwen Zhu, Prajit T. Rajendran, Hadi Amirpour, Patrick Le Callet, Christian Timmerer:
Just Noticeable Difference-aware Per-Scene Bitrate-laddering for Adaptive Video Streaming. CoRR abs/2305.00225 (2023) - 2022
- [c15]Jingwen Zhu, Patrick Le Callet, Anne-Flore Perrin, Sriram Sethuraman, Kumar Rahul:
On The Benefit of Parameter-Driven Approaches for the Modeling and the Prediction of Satisfied User Ratio for Compressed Video. ICIP 2022: 4213-4217 - [c13]Jingwen Zhu, Suiyi Ling, Yoann Baveye, Patrick Le Callet:
A Framework to Map VMAF with the Probability of Just Noticeable Difference between Video Encoding Recipes. IVMSP 2022: 1-5 - [c12]Jingwen Zhu, Patrick Le Callet:
Just noticeable difference (JND) and satisfied user ratio (SUR) prediction for compressed video: research proposal. MMSys 2022: 393-397 - [c11]Jingwen Zhu, Anne-Flore Perrin, Patrick Le Callet:
Subjective test methodology optimization and prediction framework for Just Noticeable Difference and Satisfied User Ratio for compressed HD video. PCS 2022: 313-317 - 2020
- [c9]Kévin Riou, Jingwen Zhu, Suiyi Ling, Mathis Piquet, Vincent Truffault, Patrick Le Callet:
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest. MMSP 2020: 1-6 - [i6]Kévin Riou, Jingwen Zhu, Suiyi Ling, Mathis Piquet, Vincent Truffault, Patrick Le Callet:
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest. CoRR abs/2011.02719 (2020)
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