In recent years, vision-centric Bird's Eye View (BEV) perception has garnered significant
interest from both industry and academia due to its inherent advantages, such as providing …

Detecting lane lines from sensors is becoming an increasingly significant part of
autonomous driving systems. However, less development has been made on high-definition …

The task of 3D semantic scene completion with monocular cameras is gaining increasing
attention in the field of autonomous driving. Its objective is to predict the occupancy status of …

Aerial object detection is a crucial task in computer vision because it plays a pivotal role in
understanding remote images. However, most Convolutional Neural Network (CNN) …

Long-term and accurate forecasting is the long-standing pursuit of the human motion
prediction task. Existing methods typically suffer from dramatic degradation in prediction …

The field of autonomous driving has attracted considerable interest in approaches that
directly infer 3D objects in the Bird's Eye View (BEV) from multiple cameras. Some attempts …

Abstract The Bird's-Eye-View (BEV) representation is a critical factor that directly impacts the
3D object detection performance, but the traditional BEV grid representation induces …

Recently, handwritten Chinese character error correction has been greatly improved by
employing encoder–decoder methods to decompose a Chinese character into an …

Here, we present a free-space optical communication system, adept at managing alignment
deviations and the challenges posed by the atmospheric turbulence in the transmission of …

Storing intermediate frame segmentations as memory for long-range context modeling,
spatial-temporal memory-based methods have recently showcased impressive results in …