Artificial intelligence (AI) has achieved remarkable breakthroughs in a wide range of fields,
ranging from speech processing, image classification to drug discovery. This is driven by the …

With the advent of the Internet of Everything, the proliferation of data has put a huge burden
on data centers and network bandwidth. To ease the pressure on data centers, edge …

Abstract Vision Transformers (ViTs) have triggered the most recent and significant
breakthroughs in computer vision. Their efficient designs are mostly guided by the indirect …

Attention mechanism, especially channel attention, has gained great success in the
computer vision field. Many works focus on how to design efficient channel attention …

Abstract Recently, 3D Gaussian splatting (3D-GS) has gained popularity in novel-view
scene synthesis. It addresses the challenges of lengthy training times and slow rendering …

Deep neural networks have achieved remarkable success in computer vision tasks. Existing
neural networks mainly operate in the spatial domain with fixed input sizes. For practical …

Image reconstruction and synthesis have witnessed remarkable progress thanks to the
development of generative models. Nonetheless, gaps could still exist between the real and …

Machine learning (ML) is becoming a commodity. Numerous ML frameworks and services
are available to data holders who are not ML experts but want to train predictive models on …

Deep convolutional neural networks have demonstrated their powerfulness in a variety of
applications. However, the storage and computational requirements have largely restricted …

Adaptive inference is a promising technique to improve the computational efficiency of deep
models at test time. In contrast to static models which use the same computation graph for all …