activity
20182021
most citedAdversarial Attacks against Deep Saliency Models

6 citations · 9 across the 4 of their papers we have counts for

collaborators

6 papers

cs.CV2021

Self-Conditioned Probabilistic Learning of Video Rescaling

Yuan Tian, Guo Lu, Xiongkuo Min +4

Bicubic downscaling is a prevalent technique used to reduce the video storage burden or to accelerate the downstream processing speed. However, the inverse upscaling step is non-tr…

cs.LG20191 cited

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.

cs.CV2019

How is Gaze Influenced by Image Transformations? Dataset and Model

Zhaohui Che, Ali Borji, Guangtao Zhai +3

Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time consuming and expensive. Most of current studies on human attenti…

cs.CV20196 cited

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…

cs.MM20192 cited

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…

cs.CV2018

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing

Zhaohui Che, Ali Borji, Guangtao Zhai +1

Most of current studies on human gaze and saliency modeling have used high-quality stimuli. In real world, however, captured images undergo various types of distortions during the…