4 accepted papers
Zero-shot skeleton-based action recognition aims to recognize unseen actions by transferring knowledge from seen categories through semantic descriptions. Most existing methods typically align skeleton features with textual embeddings within a shared latent space. However, the absence of contextual
Recent advances in deep learning have led to increasingly complex models with deeper layers and more parameters, reducing interpretability and making their decisions harder to understand. While many methods explain black-box reasoning, most lack effective interventions or only operate at sample-leve…
Unlike RGB images, NIR images are robust to atmospheric environments such as Rayleigh scattering. In this paper, we propose long-range imaging using multispectral fusion of RGB and NIR images. The proposed network consists of feature extraction, feature fusion, and reconstruction. For feature extrac…
Convolutional long short-term memory (LSTM) networks have been widely used for action/gesture recognition, and different attention mechanisms have also been embedded into the LSTM or the convolutional LSTM (ConvLSTM) networks. Based on the previous gesture recognition architectures which combine the…