Transformer trackers have achieved impressive advancements recently, where the attention
mechanism plays an important role. However, the independent correlation computation in …

In this big data era, the use of large dataset in conjunction with machine learning (ML) has
been increasingly popular in both industry and academia. In recent times, the field of …

We consider the problem of localizing a spatio-temporal tube in a video corresponding to a
given text query. This is a challenging task that requires the joint and efficient modeling of …

Detection Transformer (DETR) and Deformable DETR have been proposed to eliminate the
need for many hand-designed components in object detection while demonstrating good …

With the rapid development of Deepfake synthesis technology, our information security and
personal privacy have been severely threatened in recent years. To achieve a robust …

Traffic video analytics has become one of the core components in the evolution of
transportation systems. Artificially intelligent traffic management systems apply computer …

DAVIS camera, streaming two complementary sensing modalities of asynchronous events
and frames, has gradually been used to address major object detection challenges (eg, fast …

With the development of advanced driver assistance systems~(ADAS) and autonomous
vehicles, conducting experiments in various scenarios becomes an urgent need. Although …

Video object detection (VID) is challenging because of the high variation of object
appearance as well as the diverse deterioration in some frames. On the positive side, the …

Besides combining appearance and motion information, another crucial factor for video
salient object detection (VSOD) is to mine spatial–temporal (ST) knowledge, including …