5 citations · 8 across the 7 of their papers we have counts for
5 papers · 1 filter
Point Cloud Understanding via Attention-Driven Contrastive Learning
Yi Wang, Jiaze Wang, Ziyu Guo +5
Recently Transformer-based models have advanced point cloud understanding by leveraging self-attention mechanisms, however, these methods often overlook latent information in less…
MagicTailor: Component-Controllable Personalization in Text-to-Image Diffusion Models
Donghao Zhou, Jiancheng Huang, Jinbin Bai +5
Text-to-image diffusion models can generate high-quality images but lack fine-grained control of visual concepts, limiting their creativity. Thus, we introduce component-controllab…
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding
Jiaze Wang, Yi Wang, Ziyu Guo +5
We introduce MM-Mixing, a multi-modal mixing alignment framework for 3D understanding. MM-Mixing applies mixing-based methods to multi-modal data, preserving and optimizing cross-m…
SignVTCL: Multi-Modal Continuous Sign Language Recognition Enhanced by Visual-Textual Contrastive Learning
Hao Chen, Jiaze Wang, Ziyu Guo +6
Sign language recognition (SLR) plays a vital role in facilitating communication for the hearing-impaired community. SLR is a weakly supervised task where entire videos are annotat…
IFAST: Weakly Supervised Interpretable Face Anti-spoofing from Single-shot Binocular NIR Images
Jiancheng Huang, Donghao Zhou, Shifeng Chen
Single-shot face anti-spoofing (FAS) is a key technique for securing face recognition systems, and it requires only static images as input. However, single-shot FAS remains a chall…