collaborators

6 papers

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2026

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…

cs.CV2025

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…

cs.CV2025

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…