no code implementations • ECCV 2020 • Yuan Tian, Zhaohui Che, Wenbo Bao, Guangtao Zhai, Zhiyong Gao
Motion representation is key to many computer vision problems but has never been well studied in the literature.
1 code implementation • ICCV 2021 • Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che, Guangtao Zhai, Guodong Guo, Zhiyong Gao
After optimization, the downscaled video by our framework preserves more meaningful information, which is beneficial for both the upscaling step and the downstream tasks, e. g., video action recognition task.
1 code implementation • 18 Nov 2019 • Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Jing Li, Patrick Le Callet
Deep neural networks are vulnerable to adversarial attacks.
1 code implementation • 16 May 2019 • Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min, Guodong Guo, Patrick Le Callet
Data size is the bottleneck for developing deep saliency models, because collecting eye-movement data is very time consuming and expensive.
no code implementations • 2 Apr 2019 • Zhaohui Che, Ali Borji, Guangtao Zhai, Suiyi Ling, Guodong Guo, Patrick Le Callet
The proposed attack only requires a part of the model information, and is able to generate a sparser and more insidious adversarial perturbation, compared to traditional image-space attacks.
1 code implementation • 10 Oct 2018 • Zhaohui Che, Ali Borji, Guangtao Zhai, Xiongkuo Min
Most of current studies on human gaze and saliency modeling have used high-quality stimuli.