21 citations · 23 across the 8 of their papers we have counts for
10 papers
Learning to Search for Executable Patternmaking from Certified Programs
Zhuotao Xu, Chi Zeng, Liying Yang +2
Recent models generate sewing patterns from images or text, and program-based representations make these patterns executable. These systems produce a finished pattern and do not mo…
Marrying Optimal Transport and ODEs for Unified Continuous-Time 4D Reconstruction and Tracking
Liying Yang, Hao Mo, Jialun Liu +7
Existing unified 4D reconstruction and point tracking approaches typically rely on heuristic interpolations or just predict at integer timestamps, lacking kinematic coherence and f…
PointCHR: Point Cloud Analysis via Curvature-Aware Hyperbolic Rectification
Xinxing Yu, Liying Yang, Hao Mo +4
High-curvature regions in 3D point clouds encapsulate critical fine-grained geometric semantics yet exhibit a distinct long-tail sparsity in their spatial distribution. The inheren…
PointCSP: Cross-Sample Semantic Propagation and Stability Preservation in Self-Supervised Point Cloud Learning
Xinxing Yu, Ajian Liu, Sunyuan Qiang +5
Scene-level point cloud self-supervised learning (PC-SSL) has demonstrated potential in enhancing the generalization capability of 3D vision models. Despite the advances in the fie…
Spatial-Temporal State Propagation Autoregressive Model for 4D Object Generation
Liying Yang, Jialun Liu, Jiakui Hu +5
Generating high-quality 4D objects with spatial-temporal consistency is still formidable. Existing diffusion-based methods often struggle with spatial-temporal inconsistency, as th…
FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection
Yongze Li, Ning Li, Ajian Liu +7
Facial recognition systems are vulnerable to physical (e.g., printed photos) and digital (e.g., DeepFake) face attacks. Existing methods struggle to simultaneously detect physical…
Not All Frame Features Are Equal: Video-to-4D Generation via Decoupling Dynamic-Static Features
Liying Yang, Chen Liu, Zhenwei Zhu +4
Recently, the generation of dynamic 3D objects from a video has shown impressive results. Existing methods directly optimize Gaussians using whole information in frames. However, w…
Long-Range Grouping Transformer for Multi-View 3D Reconstruction
Liying Yang, Zhenwei Zhu, Xuxin Lin +2
Nowadays, transformer networks have demonstrated superior performance in many computer vision tasks. In a multi-view 3D reconstruction algorithm following this paradigm, self-atten…
UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction
Zhenwei Zhu, Liying Yang, Ning Li +2
In recent years, many video tasks have achieved breakthroughs by utilizing the vision transformer and establishing spatial-temporal decoupling for feature extraction. Although mult…
GARNet: Global-Aware Multi-View 3D Reconstruction Network and the Cost-Performance Tradeoff
Zhenwei Zhu, Liying Yang, Xuxin Lin +4
Deep learning technology has made great progress in multi-view 3D reconstruction tasks. At present, most mainstream solutions establish the mapping between views and shape of an ob…