Search Results for author: Xufeng Yao

Found 9 papers, 3 papers with code

ChatPattern: Layout Pattern Customization via Natural Language

no code implementations15 Mar 2024 Zixiao Wang, Yunheng Shen, Xufeng Yao, Wenqian Zhao, Yang Bai, Farzan Farnia, Bei Yu

Existing works focus on fixed-size layout pattern generation, while the more practical free-size pattern generation receives limited attention.

Language Modelling Large Language Model

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

1 code implementation17 Dec 2023 Haoyuan Wu, Xinyun Zhang, Peng Xu, Peiyu Liao, Xufeng Yao, Bei Yu

In this paper, we present a novel modeling framework that recasts adapter tuning after attention as a graph message passing process on attention graphs, where the projected query and value features and attention matrix constitute the node features and the graph adjacency matrix, respectively.

Image Captioning Question Answering +3

ChatEDA: A Large Language Model Powered Autonomous Agent for EDA

no code implementations20 Aug 2023 Zhuolun He, Haoyuan Wu, Xinyun Zhang, Xufeng Yao, Su Zheng, Haisheng Zheng, Bei Yu

The integration of a complex set of Electronic Design Automation (EDA) tools to enhance interoperability is a critical concern for circuit designers.

Language Modelling Large Language Model

AdaOPC: A Self-Adaptive Mask Optimization Framework For Real Design Patterns

no code implementations15 Mar 2023 Wenqian Zhao, Xufeng Yao, Ziyang Yu, Guojin Chen, Yuzhe ma, Bei Yu, Martin D. F. Wong

We inspect the pattern distribution on a design layer and find that different sub-regions have different pattern complexity.

Removing Anomalies as Noises for Industrial Defect Localization

no code implementations ICCV 2023 Fanbin Lu, Xufeng Yao, Chi-Wing Fu, Jiaya Jia

Our denoising model outperforms the state-of-the-art reconstruction-based anomaly detection methods for precise anomaly localization and high-quality normal image reconstruction on the MVTec-AD benchmark.

Denoising Image Reconstruction +1

Efficient Deep Space Filling Curve

no code implementations ICCV 2023 Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu

By modeling the pixel grid as a graph, they first adopt GNN to predict the edge weights and then generate a minimum spanning tree (MST) based on the predictions, which is further used to construct the SFC.

PCL: Proxy-Based Contrastive Learning for Domain Generalization

1 code implementation CVPR 2022 Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu

Domain generalization refers to the problem of training a model from a collection of different source domains that can directly generalize to the unseen target domains.

Contrastive Learning Domain Generalization

Cannot find the paper you are looking for? You can Submit a new open access paper.