Vision and Language Models
Focuses on AI models that combine vision and language understanding for XR.
Integrative AI often relies on combined models of multiple AI techniques and there are many ways to create those models and the algorithms that act on them.
Focuses on AI models that combine vision and language understanding for XR.
A novel Bipartite Graph Reasoning GAN (BiGraphGAN) for the challenging person image generation task.
A novel ECGAN for the challenging semantic image synthesis task
A new Attention-Guided Generative Adversarial Network (AttentionGAN) for the unpaired image to image translation task.
PyTorch implementation of Intrinsic-Extrinsic Preserved Generative Adversarial Network (IEP-GAN) for both intrinsic (i.e., shape) and extrinsic (i.e., pose) information preservation. Extrinsically, a co-occurrence discriminator is used to capture the stru...
Use algorithm configuration on several planners within the unified planning framework to enhance their performance.
A Pytorch-based batch-efficient ED solver for small and medium matrices (dim<32), which is dedicated to the application scenarios of computer vision.
An AI consultant to predict Crown Rot (CR) disease in bananas before shipment.
The main goal is to achieve excellence in the HELIOS public lighting remote management system, implemented in more than 40 cities in Spain. We will use AI to predict future breakdowns for both luminaire and eboxes. The necessary data is included.