Search Results for author: Yufei Zhu

Found 7 papers, 4 papers with code

FreqPolicy: Frequency Autoregressive Visuomotor Policy with Continuous Tokens

no code implementations2 Jun 2025 Yiming Zhong, Yumeng Liu, Chuyang Xiao, Zemin Yang, Youzhuo Wang, Yufei Zhu, Ye Shi, Yujing Sun, Xinge Zhu, Yuexin Ma

Learning effective visuomotor policies for robotic manipulation is challenging, as it requires generating precise actions while maintaining computational efficiency.

Computational Efficiency

Template-Guided Reconstruction of Pulmonary Segments with Neural Implicit Functions

1 code implementation13 May 2025 Kangxian Xie, Yufei Zhu, Kaiming Kuang, Li Zhang, Hongwei Bran Li, Mingchen Gao, Jiancheng Yang

High-quality 3D reconstruction of pulmonary segments plays a crucial role in segmentectomy and surgical treatment planning for lung cancer.

3D Reconstruction Anatomy +1

Towards Dataset Copyright Evasion Attack against Personalized Text-to-Image Diffusion Models

1 code implementation5 May 2025 Kuofeng Gao, Yufei Zhu, Yiming Li, Jiawang Bai, Yong Yang, Zhifeng Li, Shu-Tao Xia

In this paper, we explore how attackers can bypass these mechanisms through CEA, allowing models to circumvent watermarks even when trained on watermarked datasets.

Image Generation

EvolvingGrasp: Evolutionary Grasp Generation via Efficient Preference Alignment

no code implementations18 Mar 2025 Yufei Zhu, Yiming Zhong, Zemin Yang, Peishan Cong, Jingyi Yu, Xinge Zhu, Yuexin Ma

Dexterous robotic hands often struggle to generalize effectively in complex environments due to the limitations of models trained on low-diversity data.

Grasp Generation

Diffusion Prior Interpolation for Flexibility Real-World Face Super-Resolution

1 code implementation21 Dec 2024 Jiarui Yang, Tao Dai, Yufei Zhu, Naiqi Li, Jinmin Li, Shutao Xia

In this paper, we propose a masking strategy with strong and weak constraints and iterative refinement for real-world FSR, termed Diffusion Prior Interpolation (DPI).

Face Recognition Super-Resolution

Interpreting Attributions and Interactions of Adversarial Attacks

no code implementations ICCV 2021 Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang

This paper aims to explain adversarial attacks in terms of how adversarial perturbations contribute to the attacking task.

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