Despite substantial advances, single-image super-resolution (SISR) is al...
Generating talking face videos from audio attracts lots of research inte...
Deep learning models are challenged by the distribution shift between th...
Camouflaged objects are seamlessly blended in with their surroundings, w...
Weakly supervised semantic segmentation is typically inspired by class
a...
Large-scale text-to-image generation models have achieved remarkable pro...
Recently deep neural networks (DNNs) have achieved significant success i...
Object detection, as a fundamental computer vision task, has achieved a
...
Real-world image super-resolution is a practical image restoration probl...
Due to the sophisticated imaging process, an identical scene captured by...
In Open Set Domain Adaptation (OSDA), large amounts of target samples ar...
Open-set semi-supervised learning (open-set SSL) investigates a challeng...
This paper introduces the real image Super-Resolution (SR) challenge tha...
In this paper, we present a large-scale Diverse Real-world image
Super-R...
Compared with Generative Adversarial Networks (GAN), the Energy-Based
ge...
Weakly supervised object detection is a challenging task when provided w...
Driven by recent computer vision and robotic applications, recovering 3D...