15 citations · 27 across the 8 of their papers we have counts for
9 papers
IMMoE: Incomplete Multi-View Anomaly Detection via Mixture of View Experts Fusion
Lei Hu
Existing Multi-view Anomaly Detection (MAD) methods assume that all views are completely available and model each view separately. However, in real industrial scenarios, informatio…
HMVLM: Human Motion-Vision-Lanuage Model via MoE LoRA
Lei Hu, Yongjing Ye, Shihong Xia
The expansion of instruction-tuning data has enabled foundation language models to exhibit improved instruction adherence and superior performance across diverse downstream tasks.…
Learning Transformation-Isomorphic Latent Space for Accurate Hand Pose Estimation
Kaiwen Ren, Lei Hu, Zhiheng Zhang +2
Vision-based regression tasks, such as hand pose estimation, have achieved higher accuracy and faster convergence through representation learning. However, existing representation…
Diffusion-based Human Motion Style Transfer with Semantic Guidance
Lei Hu, Zihao Zhang, Yongjing Ye +2
3D Human motion style transfer is a fundamental problem in computer graphic and animation processing. Existing AdaIN- based methods necessitate datasets with balanced style distrib…
Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation
Boyuan Jiang, Lei Hu, Shihong Xia
3D human pose estimation has been a long-standing challenge in computer vision and graphics, where multi-view methods have significantly progressed but are limited by the tedious c…
AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism
Chongyang Zhong, Lei Hu, Zihao Zhang +1
Generating 3D human motion based on textual descriptions has been a research focus in recent years. It requires the generated motion to be diverse, natural, and conform to the text…
Pose-aware Attention Network for Flexible Motion Retargeting by Body Part
Lei Hu, Zihao Zhang, Chongyang Zhong +2
Motion retargeting is a fundamental problem in computer graphics and computer vision. Existing approaches usually have many strict requirements, such as the source-target skeletons…
Neural3Points: Learning to Generate Physically Realistic Full-body Motion for Virtual Reality Users
Yongjing Ye, Libin Liu, Lei Hu +1
Animating an avatar that reflects a user's action in the VR world enables natural interactions with the virtual environment. It has the potential to allow remote users to communica…
Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction
Chongyang Zhong, Lei Hu, Zihao Zhang +2
Predicting future motion based on historical motion sequence is a fundamental problem in computer vision, and it has wide applications in autonomous driving and robotics. Some rece…