activity
20182022
most citedAdversarial Attacks against Deep Saliency Models

6 citations · 25 across the 10 of their papers we have counts for

collaborators

16 papers

eess.IV2022

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…

cs.CV2021

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…

cs.CV2021

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…

cs.AI2021

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…

cs.CV2021

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…

cs.CV2020

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…