In this paper, we are interested in the human pose estimation problem with a focus on
learning reliable high-resolution representations. Most existing methods recover high-resolution …

High-resolution representations are essential for position-sensitive vision problems, such as
human pose estimation, semantic segmentation, and object detection. Existing state-of-the-…

Treatment of dewaxed maize stems, rye straw, and rice straw with 1 M NaOH at 30 C for 18
h resulted in a dissolution of 78.0, 68.8, and 82.1% of the original lignin, and 72.1, 72.6, and …

High-entropy alloys (HEAs) are a family of novel multi-principal alloys containing >4
principal elements in equimolar ratios or nearly-equimolar ratios. The unique multiple-principal …

We present in this paper a new architecture, named Convolutional vision Transformer (CvT),
that improves Vision Transformer (ViT) in performance and efficiency by introducing …

The digital twin is an emerging and vital technology for digital transformation and intelligent
upgrade. Driven by data and model, the digital twin can perform monitoring, simulation, …

There has been significant progress on pose estimation and increasing interests on pose
tracking in recent years. At the same time, the overall algorithm and system complexity …

Sybil attacks have been regarded as a serious security threat to ad hoc networks and sensor
networks. They may also impair the potential applications of VANETs (Vehicular Ad hoc …

Large language models (LLMs) have demonstrated remarkable performance on a variety of
natural language tasks based on just a few examples of natural language instructions, …

Automated visual understanding of our diverse and open world demands computer vision
models to generalize well with minimal customization for specific tasks, similar to human vision…