Given an untrimmed video, temporal sentence grounding (TSG) aims to locate a target
moment semantically according to a sentence query. Although previous respectable works …

The two fields of urban planning and artificial intelligence (AI) arose and developed
separately. However, there is now cross-pollination and increasing interest in both fields to …

Artificial Intelligence Generated Content (AIGC) is leading a new technical revolution for the
acquisition of digital content and impelling the progress of visual compression towards …

Most video compression methods aim to improve the decoded video visual quality, instead
of particularly guaranteeing the semantic-completeness, which deteriorates downstream …

Video rescaling has recently drawn extensive attention for its practical applications such as
video compression. Compared to video super-resolution, which focuses on upscaling …

Existing salient object detection methods are capable of predicting binary maps that
highlight visually salient regions. However, these methods are limited in their ability to …

Most video compression methods focus on human visual perception, neglecting semantic
preservation. This leads to severe semantic loss during the compression, hampering …

Error concealment is an important technique to restore a damaged video bistream. Although
data-driven in-painting methods can be directly applied to video error concealment, existing …

Existing codecs are designed to eliminate intrinsic redundancies to create a compact
representation for compression. However, strong external priors from Multimodal Large …

LiDAR point cloud compression is important for autonomous driving as it consumes a lot of
storage and bandwidth. Although the fusion of camera and LiDAR for vision perception has …