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.CV2026

EVA-Cap: Optimizing Audiovisual Video Captioning via Event-Centric Alignment

Jiapeng Shi, Qiuxia Hou, Jiaqi Leng +5

Recent advances in Omni Language Models (OLMs) provide a unified solution for audiovisual video captioning. Nevertheless, existing approaches predominantly treat captioning as an u…

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.CV2026

Preference Score Distillation: Leveraging 2D Rewards to Align Text-to-3D Generation with Human Preference

Jiaqi Leng, Shuyuan Tu, Haidong Cao +4

Human preference alignment presents a critical yet underexplored challenge for diffusion models in text-to-3D generation. Existing solutions typically require task-specific fine-tu…

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…