22 citations · 50 across the 14 of their papers we have counts for
6 papers · 1 filter
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…