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Xuekun Jiang

3 accepted papers

2026

InternData-A1: Pioneering High-Fidelity Synthetic Data for Pre-training Generalist Policy

CVPR 2026

Recent work explores how real and synthetic data contribute to VLA model generalization. While the \pi-series model has shown the strong effectiveness of large-scale real-robot pre-training, synthetic data has not previously demonstrated comparable capability at scale.This paper provides the first e

Cited by 0SourceScholar
2024

Cinematic Behavior Transfer via NeRF-based Differentiable Filming

CVPR 2024poster

In the evolving landscape of digital media and video production the precise manipulation and reproduction of visual elements like camera movements and character actions are highly desired. Existing SLAM methods face limitations in dynamic scenes and human pose estimation often focuses on 2D projecti…

Cited by 6SourcePDFScholar
2020

A Unified Framework for Shot Type Classification Based on Subject Centric Lens

ECCV 2020poster

In film making, shot has a profound influence on how the story is delivered and how the audiences are echoed. As different scale and movement types of shots can express different emotions and contents, recognizing shots and their attributes is important to the understanding of movies as well as gene…

Cited by 85SourcePDFScholar