8 citations · 18 across the 8 of their papers we have counts for
8 papers
CRL: Content and Context Representation Learning for Gloss-free Sign Language Translation and Retrieval
Zhigang Chen, Benjia Zhou, Yiqing Huang +6
Sign Language Representation Learning (SLRL) is crucial for a range of sign language-related downstream tasks such as Sign Language Translation (SLT) and Sign Language Retrieval (S…
FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
Sunyuan Qiang, Xuxin Lin, Yanyan Liang +2
Continual learning (CL) aims to extend deep models from static and enclosed environments to dynamic and complex scenarios, enabling systems to continuously acquire new knowledge of…
Dynamic Feature Learning and Matching for Class-Incremental Learning
Sunyuan Qiang, Yanyan Liang, Jun Wan +1
Class-incremental learning (CIL) has emerged as a means to learn new classes incrementally without catastrophic forgetting of previous classes. Recently, CIL has undergone a paradi…
PMMTalk: Speech-Driven 3D Facial Animation from Complementary Pseudo Multi-modal Features
Tianshun Han, Shengnan Gui, Yiqing Huang +9
Speech-driven 3D facial animation has improved a lot recently while most related works only utilize acoustic modality and neglect the influence of visual and textual cues, leading…
Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining
Benjia Zhou, Zhigang Chen, Albert Clapés +5
Sign Language Translation (SLT) is a challenging task due to its cross-domain nature, involving the translation of visual-gestural language to text. Many previous methods employ an…
FM-ViT: Flexible Modal Vision Transformers for Face Anti-Spoofing
Ajian Liu, Zichang Tan, Zitong Yu +7
The availability of handy multi-modal (i.e., RGB-D) sensors has brought about a surge of face anti-spoofing research. However, the current multi-modal face presentation attack dete…
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
Benjia Zhou, Pichao Wang, Jun Wan +6
Decoupling spatiotemporal representation refers to decomposing the spatial and temporal features into dimension-independent factors. Although previous RGB-D-based motion recognitio…
Contrastive Context-Aware Learning for 3D High-Fidelity Mask Face Presentation Attack Detection
Ajian Liu, Chenxu Zhao, Zitong Yu +11
Face presentation attack detection (PAD) is essential to secure face recognition systems primarily from high-fidelity mask attacks. Most existing 3D mask PAD benchmarks suffer from…