13 papers
Mamba Learns in Context: Structure-Aware Domain Generalization for Multi-Task Point Cloud Understanding
Jincen Jiang, Qianyu Zhou, Yuhang Li +5
While recent Transformer and Mamba architectures have advanced point cloud representation learning, they are typically developed for single-task or single-domain settings. Directly…
DAPointMamba: Domain Adaptive Point Mamba for Point Cloud Completion
Yinghui Li, Qianyu Zhou, Di Shao +4
Domain adaptive point cloud completion (DA PCC) aims to narrow the geometric and semantic discrepancies between the labeled source and unlabeled target domains. Existing methods ei…
DiffDecompose: Layer-Wise Decomposition of Alpha-Composited Images via Diffusion Transformers
Zitong Wang, Hang Zhao, Qianyu Zhou +3
Diffusion models have recently motivated great success in many generation tasks like object removal. Nevertheless, existing image decomposition methods struggle to disentangle semi…
PointDGRWKV: Generalizing RWKV-like Architecture to Unseen Domains for Point Cloud Classification
Hao Yang, Qianyu Zhou, Haijia Sun +4
Domain Generalization (DG) has been recently explored to enhance the generalizability of Point Cloud Classification (PCC) models toward unseen domains. Prior works are based on con…
Learning Adaptive Node Selection with External Attention for Human Interaction Recognition
Chen Pang, Xuequan Lu, Qianyu Zhou +1
Most GCN-based methods model interacting individuals as independent graphs, neglecting their inherent inter-dependencies. Although recent approaches utilize predefined interaction…
MOL: Joint Estimation of Micro-Expression, Optical Flow, and Landmark via Transformer-Graph-Style Convolution
Zhiwen Shao, Yifan Cheng, Feiran Li +4
Facial micro-expression recognition (MER) is a challenging problem, due to transient and subtle micro-expression (ME) actions. Most existing methods depend on hand-crafted features…