22 citations · 50 across the 14 of their papers we have counts for
17 papers
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…
Considering user agreement in learning to predict the aesthetic quality
Suiyi Ling, Andreas Pastor, Junle Wang +1
How to robustly rank the aesthetic quality of given images has been a long-standing ill-posed topic. Such challenge stems mainly from the diverse subjective opinions of different o…
BR-NPA: A Non-Parametric High-Resolution Attention Model to improve the Interpretability of Attention
Tristan Gomez, Suiyi Ling, Thomas Fréour +1
The prevalence of employing attention mechanisms has brought along concerns on the interpretability of attention distributions. Although it provides insights about how a model is o…
Subjective and Objective Quality Assessment of Mobile Gaming Video
Shaoguo Wen, Suiyi Ling, Junle Wang +4
Nowadays, with the vigorous expansion and development of gaming video streaming techniques and services, the expectation of users, especially the mobile phone users, for higher qua…
Seeing by haptic glance: reinforcement learning-based 3D object Recognition
Kevin Riou, Suiyi Ling, Guillaume Gallot +1
Human is able to conduct 3D recognition by a limited number of haptic contacts between the target object and his/her fingers without seeing the object. This capability is defined a…
Multi-Modal Aesthetic Assessment for MObile Gaming Image
Zhenyu Lei, Yejing Xie, Suiyi Ling +3
With the proliferation of various gaming technology, services, game styles, and platforms, multi-dimensional aesthetic assessment of the gaming contents is becoming more and more i…
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…
Strategy for Boosting Pair Comparison and Improving Quality Assessment Accuracy
Suiyi Ling, Jing Li, Anne Flore Perrin +3
The development of rigorous quality assessment model relies on the collection of reliable subjective data, where the perceived quality of visual multimedia is rated by the human ob…
GPM: A Generic Probabilistic Model to Recover Annotator's Behavior and Ground Truth Labeling
Jing Li, Suiyi Ling, Junle Wang +2
In the big data era, data labeling can be obtained through crowdsourcing. Nevertheless, the obtained labels are generally noisy, unreliable or even adversarial. In this paper, we p…
A New Ensemble Adversarial Attack Powered by Long-term Gradient Memories
Zhaohui Che, Ali Borji, Guangtao Zhai +3
Deep neural networks are vulnerable to adversarial attacks.
Binocular Rivalry Oriented Predictive Auto-Encoding Network for Blind Stereoscopic Image Quality Measurement
Jiahua Xu, Wei Zhou, Zhibo Chen +2
Stereoscopic image quality measurement (SIQM) has become increasingly important for guiding stereo image processing and commutation systems due to the widespread usage of 3D conten…
Perceptual representations of structural information in images: application to quality assessment of synthesized view in FTV scenario
Ling suiyi, Li Jing, Le Callet Patrick +1
As the immersive multimedia techniques like Free-viewpoint TV (FTV) develop at an astonishing rate, user's demand for high-quality immersive contents increases dramatically. Unlike…
Adversarial Attacks against Deep Saliency Models
Zhaohui Che, Ali Borji, Guangtao Zhai +3
Currently, a plethora of saliency models based on deep neural networks have led great breakthroughs in many complex high-level vision tasks (e.g. scene description, object detectio…
Quality Assessment of Free-viewpoint Videos by Quantifying the Elastic Changes of Multi-Scale Motion Trajectories
Suiyi Ling, Jing Li, Zhaohui Che +3
Virtual viewpoints synthesis is an essential process for many immersive applications including Free-viewpoint TV (FTV). A widely used technique for viewpoints synthesis is Depth-Im…
GANs-NQM: A Generative Adversarial Networks based No Reference Quality Assessment Metric for RGB-D Synthesized Views
Suiyi Ling, Jing Li, Junle Wang +1
In this paper, we proposed a no-reference (NR) quality metric for RGB plus image-depth (RGB-D) synthesis images based on Generative Adversarial Networks (GANs), namely GANs-NQM. Du…
Hybrid-MST: A Hybrid Active Sampling Strategy for Pairwise Preference Aggregation
Jing Li, Rafal K. Mantiuk, Junle Wang +2
In this paper we present a hybrid active sampling strategy for pairwise preference aggregation, which aims at recovering the underlying rating of the test candidates from sparse an…
Prediction of the Influence of Navigation Scan-path on Perceived Quality of Free-Viewpoint Videos
Suiyi Ling, Jesús Gutiérrez, Gu Ke +1
Free-Viewpoint Video (FVV) systems allow the viewers to freely change the viewpoints of the scene. In such systems, view synthesis and compression are the two main sources of artif…