no code implementations • 20 Jun 2022 • Jingwen Zhu, Patrick Le Callet, Anne-Flore Perrin, Sriram Sethuraman, Kumar Rahul
However, most of the previous works predict each point in SUR curve by using features both from source video and from compressed videos with assumption that the group-based JND annotations follow Gaussian distribution, which is neither practical nor accurate.
no code implementations • 16 May 2022 • Jingwen Zhu, Suiyi Ling, Yoann Baveye, Patrick Le Callet
To this end, in order to decouple encoding recipes and JND estimation, we propose a novel framework to map the difference of objective Video Quality Assessment (VQA) scores, i. e., VMAF, between two given videos encoded with different encoding recipes from the same content to the probability of having just noticeable difference between them.
no code implementations • 5 Nov 2020 • Kevin Riou, Jingwen Zhu, Suiyi Ling, Mathis Piquet, Vincent Truffault, Patrick Le Callet
Confinement during COVID-19 has caused serious effects on agriculture all over the world.
no code implementations • 27 Apr 2019 • Heming Zhang, Xiaolong Wang, Jingwen Zhu, C. -C. Jay Kuo
In this work, we present a proposal generation acceleration framework for real-time face detection.
no code implementations • 26 Mar 2019 • Dawei Li, Serafettin Tasci, Shalini Ghosh, Jingwen Zhu, Junting Zhang, Larry Heck
The key component of RILOD is a novel incremental learning algorithm that trains end-to-end for one-stage deep object detection models only using training data of new object classes.
no code implementations • 20 Mar 2019 • Jie Zhang, Junting Zhang, Shalini Ghosh, Dawei Li, Jingwen Zhu, Heming Zhang, Yalin Wang
Lifelong learning, the problem of continual learning where tasks arrive in sequence, has been lately attracting more attention in the computer vision community.
1 code implementation • 13 Apr 2018 • Yang Song, Jingwen Zhu, Dawei Li, Xiaolong Wang, Hairong Qi
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 smooth transition of both lip and facial movement over the entire video clip.
no code implementations • 22 Dec 2017 • Xianzhi Du, Xiaolong Wang, Dawei Li, Jingwen Zhu, Serafettin Tasci, Cameron Upright, Stephen Walsh, Larry Davis
Compared to the general semantic segmentation problem, portrait segmentation has higher precision requirement on boundary area.