Existing computer vision systems can compete with humans in understanding the visible
parts of objects, but still fall far short of humans when it comes to depicting the invisible parts …

While GANs can produce photo-realistic images in ideal conditions for certain domains, the
generation of full-body human images remains difficult due to the diversity of identities …

Text-to-image generation has achieved astonishing results yet precise spatial controllability
and prompt fidelity remain highly challenging. This limitation is typically addressed through …

Estimating 3D interacting hand pose from a single RGB image is essential for understanding
human actions. Unlike most previous works that directly predict the 3D poses of two …

Although current computer vision systems are closer to the human intelligence when it
comes to comprehending the visible world than previously, their performance is hindered …

Three-dimensional human pose and shape estimation is to compute a full human 3D mesh
given a single image. The contamination of features caused by occlusion usually degrades …

Human-robot collaborative disassembly (HRCD) has gained much interest in the
disassembly tasks of end-of-life products, integrating both robot's high efficiency in repetitive …

Our brain can effortlessly recognize objects even when partially hidden from view. Seeing
the visible of the hidden is called amodal completion; however this task remains a challenge …

Amodal perception terms the ability of humans to imagine the entire shapes of occluded
objects. This gives humans an advantage to keep track of everything that is going on …

Human silhouette extraction is a fundamental task in computer vision with applications in
various downstream tasks. However, occlusions pose a significant challenge, leading to …