6 papers
Multimodal Flow: Unified Flow Modeling of Language and Vision in Embedding Spaces
Hongyuan Tao, Xinggang Wang, Lianghui Zhu +7
We present Multimodal Flow, a fully continuous generative model of language and vision. Most unified multimodal models either model both language and quantized images as discrete t…
Gait Recognition via Collaborating Discriminative and Generative Diffusion Models
Haijun Xiong, Bin Feng, Bang Wang +2
Gait recognition offers a non-intrusive biometric solution by identifying individuals through their walking patterns. Although discriminative models have achieved notable success i…
CGTGait: Collaborative Graph and Transformer for Gait Emotion Recognition
Junjie Zhou, Haijun Xiong, Junhao Lu +2
Skeleton-based gait emotion recognition has received significant attention due to its wide-ranging applications. However, existing methods primarily focus on extracting spatial and…
STP4D: Spatio-Temporal-Prompt Consistent Modeling for Text-to-4D Gaussian Splatting
Yunze Deng, Haijun Xiong, Bin Feng +2
Text-to-4D generation is rapidly developing and widely applied in various scenarios. However, existing methods often fail to incorporate adequate spatio-temporal modeling and promp…
Causality-inspired Discriminative Feature Learning in Triple Domains for Gait Recognition
Haijun Xiong, Bin Feng, Xinggang Wang +1
Gait recognition is a biometric technology that distinguishes individuals by their walking patterns. However, previous methods face challenges when accurately extracting identity f…
LiCAF: LiDAR-Camera Asymmetric Fusion for Gait Recognition
Yunze Deng, Haijun Xiong, Bin Feng
Gait recognition is a biometric technology that identifies individuals by using walking patterns. Due to the significant achievements of multimodal fusion in gait recognition, we c…