Image classification has always been a hot research direction in the world, and the
emergence of deep learning has promoted the development of this field. Convolutional …

Emotions are a critical aspect of daily life and serve a crucial role in human decision-making,
planning, reasoning, and other mental states. As a result, they are considered a significant …

With the success of Vision Transformers (ViTs) in computer vision tasks, recent arts try to
optimize the performance and complexity of ViTs to enable efficient deployment on mobile …

In the past decade, advances in deep learning have resulted in breakthroughs in a variety of
areas, including computer vision, natural language understanding, speech recognition, and …

Currently, with the rapid development of deep learning, deep neural networks (DNNs) have
been widely applied in various computer vision tasks. However, in the pursuit of …

Brain diseases, including tumors and mental and neurological disorders, seriously threaten
the health and well-being of millions of people worldwide. Structural and functional …

The ongoing advancements in network architecture design have led to remarkable
achievements in deep learning across various challenging computer vision tasks …

Capturing multimodal natures is essential for stochastic pedestrian trajectory prediction, to
infer a finite set of future trajectories. The inferred trajectories are based on observation …

Zero-cost proxies (ZC proxies) are a recent architecture performance prediction technique
aiming to significantly speed up algorithms for neural architecture search (NAS). Recent …

The novel coronavirus (SARS-CoV-2) has led to a pandemic. The current testing regime
based on Reverse Transcription-Polymerase Chain Reaction for SARS-CoV-2 has been …