Knowledge graph reasoning (KGR), aiming to deduce new facts from existing facts based on
mined logic rules underlying knowledge graphs (KGs), has become a fast-growing research …

Data-driven artificial intelligence (AI) models have made significant advancements in
weather forecasting, particularly in medium-range and nowcasting. However, most data …

Abstract 4D medical images which represent 3D images with temporal information are
crucial in clinical practice for capturing dynamic changes and monitoring long-term disease …

Advanced video frame interpolation (VFI) algorithms approximate intermediate motions
between two input frames to synthesize intermediate frame. However they struggle to handle …

Large motion poses a critical challenge in Video Frame Interpolation (VFI) task. Existing
methods are often constrained by limited receptive fields resulting in sub-optimal …

Abstract Video Frame Interpolation (VFI) has witnessed a surge in popularity due to its
abundant downstream applications. Event-based VFI (E-VFI) has recently propelled the …

Human-centric video frame interpolation has great potential for enhancing entertainment
experiences and finding commercial applications in sports analysis industry eg synthesizing …

Motion modeling is critical in flow-based Video Frame Interpolation (VFI). Existing paradigms
either consider linear combinations of bidirectional flows or directly predict bilateral flows for …

When zooming between dual cameras on a mobile, noticeable jumps in geometric content
and image color occur in the preview, inevitably affecting the user's zoom experience. In this …

To address the limitation of preserving data for dynamic visualization in fetal ultrasound
screening, a novel framework is proposed to facilitate the generation of fetal four-chamber …