As the GAN-based face image and video generation techniques, widely known as
DeepFakes, have become more and more matured and realistic, there comes a pressing …

Visual object tracking is an important task in computer vision, which has many real-world
applications, eg, video surveillance, visual navigation. Visual object tracking also has many …

Single-image deraining is rather challenging due to the unknown rain model. Existing
methods often make specific assumptions of the rain model, which can hardly cover many …

Motion blur caused by the moving of the object or camera during the exposure can be a key
challenge for visual object tracking, affecting tracking accuracy significantly. In this work, we …

Adversarial attacks of deep neural networks have been intensively studied on image, audio,
and natural language classification tasks. Nevertheless, as a typical while important real …

At this moment, GAN-based image generation methods are still imperfect, whose
upsampling design has limitations in leaving some certain artifact patterns in the …

The existence of motion blur can inevitably influence the performance of visual object
tracking. However, in contrast to the rapid development of visual trackers, the quantitative …

The state-of-the-art deep neural networks (DNNs) are vulnerable against adversarial
examples with additive random-like noise perturbations. While such examples are hardly …

In recent years, image and video surveillance have made considerable progresses to the
Intelligent Transportation Systems (ITS) with the help of deep Convolutional Neural …

Rain is a common phenomenon in nature and an essential factor for many deep neural
network (DNN) based perception systems. Rain can often post inevitable threats that must …