6 citations · 14 across the 4 of their papers we have counts for
4 papers
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…
Object Shape Approximation & Contour Adaptive Depth Image Coding for Virtual View Synthesis
Yuan Yuan, Gene Cheung, Patrick Le Callet +2
A depth image provides partial geometric information of a 3D scene, namely the shapes of physical objects as observed from a particular viewpoint. This information is important whe…