3 papers
cs.CV2026
TAPFormer: Robust Arbitrary Point Tracking via Transient Asynchronous Fusion of Frames and Events
Jiaxiong Liu, Zhen Tan, Jinpu Zhang +4
Tracking any point (TAP) is a fundamental yet challenging task in computer vision, requiring high precision and long-term motion reasoning. Recent attempts to combine RGB frames an…
cs.CV2025
TVG-SLAM: Robust Gaussian Splatting SLAM with Tri-view Geometric Constraints
Zhen Tan, Xieyuanli Chen, Lei Feng +4
Recent advances in 3D Gaussian Splatting (3DGS) have enabled RGB-only SLAM systems to achieve high-fidelity scene representation. However, the heavy reliance of existing systems on…
cs.CV2024
Tracking Any Point with Frame-Event Fusion Network at High Frame Rate
Jiaxiong Liu, Bo Wang, Zhen Tan +3
Tracking any point based on image frames is constrained by frame rates, leading to instability in high-speed scenarios and limited generalization in real-world applications. To ove…