For deep learning-based single image dehazing works, their performances seriously
depend on the designed models and training dataset. Existing state-of-the-art methods focus …

Replacing objects in images is a practical functionality of Photoshop, eg, clothes changing.
This task is defined as Unsupervised Deformable-Instances Image-to-Image Translation …

Achieving excellent generalization on perceiving real traffic scenarios with diversity is the
long-term goal for building robust autonomous driving systems. A recent theoretical study …

Automatic generation of painting images is an interesting and difficult task, especially for
regional traditional paintings with unique cultural styles while lacking large-scale training …

Accurate real-time ship identification in fog is crucial for maritime safety. In foggy conditions,
the contrast between ships and their background diminishes, leading to unclear edges. As …

The classification of style data generally depends on both physical features of data and
distinct styles originating from their own homogeneities. As a first attempt, a novel s tyle …

Anomaly detection in surveillance videos is a crucial and challenging task in the intelligent
transportation systems. Previous methods utilize a memory module to store prototypical …

Contrastive learning has gained great prominence recently, which achieves excellent
performance by simple augmentation invariance. However, the simple contrastive pairs …

Infrared thermography is a prevalent non-contact approach for measuring temperature field.
However, dynamic water mist can absorb and scatter infrared radiation, resulting in …

In the field of intelligent vehicle technology, there is a high dependence on images captured
under challenging conditions to develop robust perception algorithms. However, acquiring …