3 accepted papers
High-scale image super-resolution (SR) has become increasingly important with the rapid growth of mobile devices and high-resolution displays. However, current SR methods primarily focus on lower scales and generalize poorly to high-scale scenarios due to severe information loss and complex real-wor
Robotic picking systems in automated logistics require accurate segmentation and localization of densely stacked cartons. However, the lack of comprehensive and diverse datasets for this task poses a significant challenge. Furthermore, existing instance segmentation methods struggle to meet the accu
We redefine the concept of bird's-eye-view (BEV) imaging for machine cognition tasks, emphasizing its power as an image interpretation tool. Humans intuitively translate two-dimensional (2D) images into BEV representations by discerning and integrating spatial information, such as position and morph