5 accepted papers
Molecular representation learning, a cornerstone for downstream tasks like molecular captioning and molecular property prediction, heavily relies on Graph Neural Networks (GNN). However, GNN suffers from the over-smoothing problem, where node-level features collapse in deep GNN layers. While existin
Cued speech (CS) is a novel visual coding system, which combines lip reading with several specific hand codings to help hearing-impaired people to communicate effectively. This work focuses on the audio/text-driven CS gestures (i.e., continuous lip and hand gestures movements) generation. Previous w…
Semi-supervised methods have recently received significant attention in deep learning because they are able to reduce the dependence on labeled data while ensuring good performance. The pseudo-label based method has been widely used as a classic semi-supervised method but still suffers from the conf…
Cued Speech (CS) is an advanced visual phonetic encoding system that integrates lip reading with hand codings, enabling people with hearing impairments to communicate efficiently. CS video generation aims to produce specific lip and gesture movements of CS from audio or text inputs. The main challen…
Intelligent medical diagnosis has shown remarkable progress on the large-scale datasets with full annotations. However, very few labeled images are available due to significantly expensive annotations by experts. To efficiently leverage abundant unlabeled data, we propose a novel Spatio-Temporal Str…