activity
20232025
most citedScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video

1 citations · 1 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2025

OCSplats: Observation Completeness Quantification and Label Noise Separation in 3DGS

Han Ling, Xian Xu, Yinghui Sun +1

3D Gaussian Splatting (3DGS) has become one of the most promising 3D reconstruction technologies. However, label noise in real-world scenarios-such as moving objects, non-Lambertia…

cs.LG2024

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun +5

In recent years, anchor and hash-based multi-view clustering methods have gained attention for their efficiency and simplicity in handling large-scale data. However, existing metho…

cs.CV2024

Self-Assessed Generation: Trustworthy Label Generation for Optical Flow and Stereo Matching in Real-world

Han Ling, Yinghui Sun, Quansen Sun +2

A significant challenge facing current optical flow and stereo methods is the difficulty in generalizing them well to the real world. This is mainly due to the high costs required…

cs.CV2024★ 1 cited

ScaleFlow++: Robust and Accurate Estimation of 3D Motion from Video

Han Ling, Quansen Sun

Perceiving and understanding 3D motion is a core technology in fields such as autonomous driving, robots, and motion prediction. This paper proposes a 3D motion perception method c…

cs.CV2023

ADFactory: An Effective Framework for Generalizing Optical Flow with Nerf

Han Ling

A significant challenge facing current optical flow methods is the difficulty in generalizing them well to the real world. This is mainly due to the high cost of hand-crafted datas…