20 citations · 34 across the 7 of their papers we have counts for
9 papers
Just Noticeable Difference-aware Per-Scene Bitrate-laddering for Adaptive Video Streaming
Vignesh V Menon, Jingwen Zhu, Prajit T Rajendran +3
In video streaming applications, a fixed set of bitrate-resolution pairs (known as a bitrate ladder) is typically used during the entire streaming session. However, an optimized bi…
On the benefit of parameter-driven approaches for the modeling and the prediction of Satisfied User Ratio for compressed video
Jingwen Zhu, Patrick Le Callet, Anne-Flore Perrin +2
The human eye cannot perceive small pixel changes in images or videos until a certain threshold of distortion. In the context of video compression, Just Noticeable Difference (JND)…
A Framework to Map VMAF with the Probability of Just Noticeable Difference between Video Encoding Recipes
Jingwen Zhu, Suiyi Ling, Yoann Baveye +1
Just Noticeable Difference (JND) model developed based on Human Vision System (HVS) through subjective studies is valuable for many multimedia use cases. In the streaming industrie…
Few-Shot Object Detection in Real Life: Case Study on Auto-Harvest
Kevin Riou, Jingwen Zhu, Suiyi Ling +3
Confinement during COVID-19 has caused serious effects on agriculture all over the world. As one of the efficient solutions, mechanical harvest/auto-harvest that is based on object…
Accelerating Proposal Generation Network for \\Fast Face Detection on Mobile Devices
Heming Zhang, Xiaolong Wang, Jingwen Zhu +1
Face detection is a widely studied problem over the past few decades. Recently, significant improvements have been achieved via the deep neural network, however, it is still challe…
RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge
Dawei Li, Serafettin Tasci, Shalini Ghosh +3
Object detection models shipped with camera-equipped edge devices cannot cover the objects of interest for every user. Therefore, the incremental learning capability is a critical…
Regularize, Expand and Compress: Multi-task based Lifelong Learning via NonExpansive AutoML
Jie Zhang, Junting Zhang, Shalini Ghosh +4
Lifelong learning, the problem of continual learning where tasks arrive in sequence, has been lately attracting more attention in the computer vision community. The aim of lifelong…
Talking Face Generation by Conditional Recurrent Adversarial Network
Yang Song, Jingwen Zhu, Dawei Li +2
Given an arbitrary face image and an arbitrary speech clip, the proposed work attempts to generating the talking face video with accurate lip synchronization while maintaining smoo…
Boundary-sensitive Network for Portrait Segmentation
Xianzhi Du, Xiaolong Wang, Dawei Li +5
Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area. However, this problem has not been well studied in p…