activity
20182022
most citedAdversarial Attacks against Deep Saliency Models

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

collaborators
Showing 2021Show all

5 papers · 1 filter

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

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…

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…