most citedFNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients

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

collaborators

6 papers

cs.RO2026

Bench2Dex: Benchmarking Visuo-Tactile Bimanual Dexterous Manipulation Across Dexterous Hands

Zhenjie Yang, Yideng Zhang, Dongjie Zhang +21

Tactile sensing provides contact information that can be difficult to infer from vision alone, but tactile hardware for dexterous hands has not converged to a common design. Dexter…

cs.RO2026

SegDiff: Segmented Trajectory Diffusion for Consistent and Adaptive Robot Manipulation

Haidong Cao, Wenjun Cao, Quanhao Li +5

Imitation learning enables robots to acquire manipulation skills from demonstrations by mapping observations to actions. Existing approaches predict either short-horizon continuous…

cs.CV2025

FlashPortrait: 6x Faster Infinite Portrait Animation with Adaptive Latent Prediction

Shuyuan Tu, Yueming Pan, Yinming Huang +6

Current diffusion-based acceleration methods for long-portrait animation struggle to ensure identity (ID) consistency. This paper presents FlashPortrait, an end-to-end video diffus…

cs.RO2025

Unify Robot Actions in Camera Frame

Sicheng Xie, Lingchen Meng, Zijie Diao +9

Cross-embodiment robot learning requires a unified action representation with consistent semantics across robot platforms. Existing representations suffer from platform-specific in…

cs.RO2025

Human2Robot: Learning Robot Actions from Paired Human-Robot Videos

Sicheng Xie, Haidong Cao, Zejia Weng +6

Distilling knowledge from human demonstrations is a promising way for robots to learn and act. Existing methods, which often rely on coarsely-aligned video pairs, are typically con…

cs.CV2025★ 1 cited

FNIN: A Fourier Neural Operator-based Numerical Integration Network for Surface-form-gradients

Jiaqi Leng, Yakun Ju, Yuanxu Duan +4

Surface-from-gradients (SfG) aims to recover a three-dimensional (3D) surface from its gradients. Traditional methods encounter significant challenges in achieving high accuracy an…