Search Results for author: Hong Gu

Found 9 papers, 0 papers with code

A Novel Semisupervised Contrastive Regression Framework for Forest Inventory Mapping with Multisensor Satellite Data

no code implementations1 Dec 2022 Shaojia Ge, Hong Gu, Weimin Su, Anne Lönnqvist, Oleg Antropov

To overcome those limitations, here we introduce contrastive regression into EO based forest mapping and develop a novel semisupervised regression framework for wall-to-wall mapping of continuous forest variables.

Earth Observation Management +1

Evaluating robustness of support vector machines with the Lagrangian dual approach

no code implementations5 Jun 2023 YuTing Liu, Hong Gu, Pan Qin

To this end, we propose a method to improve the verification performance for SVMs with nonlinear kernels.

Adversarial Robustness

A Domain-adaptive Physics-informed Neural Network for Inverse Problems of Maxwell's Equations in Heterogeneous Media

no code implementations12 Aug 2023 Shiyuan Piao, Hong Gu, Aina Wang, Pan Qin

To this end, we propose a domain-adaptive PINN (da-PINN) to solve inverse problems of Maxwell's equations in heterogeneous media.

Aggregating Feature Point Cloud for Depth Completion

no code implementations ICCV 2023 Zhu Yu, Zehua Sheng, Zili Zhou, Lun Luo, Si-Yuan Cao, Hong Gu, Huaqi Zhang, Hui-Liang Shen

We extract 2D feature map from images and transform the sparse depth map to point cloud to extract sparse 3D features.

Depth Completion

DiffFAE: Advancing High-fidelity One-shot Facial Appearance Editing with Space-sensitive Customization and Semantic Preservation

no code implementations26 Mar 2024 Qilin Wang, Jiangning Zhang, Chengming Xu, Weijian Cao, Ying Tai, Yue Han, Yanhao Ge, Hong Gu, Chengjie Wang, Yanwei Fu

Facial Appearance Editing (FAE) aims to modify physical attributes, such as pose, expression and lighting, of human facial images while preserving attributes like identity and background, showing great importance in photograph.

Attribute Semantic Composition

InstructBrush: Learning Attention-based Instruction Optimization for Image Editing

no code implementations27 Mar 2024 Ruoyu Zhao, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Wei Wu, Pengcheng Xu, Mingrui Zhu, Nannan Wang, Xinbo Gao

Two key techniques are introduced into InstructBrush, Attention-based Instruction Optimization and Transformation-oriented Instruction Initialization, to address the limitations of the previous method in terms of inversion effects and instruction generalization.

Tuning-Free Adaptive Style Incorporation for Structure-Consistent Text-Driven Style Transfer

no code implementations10 Apr 2024 Yanqi Ge, Jiaqi Liu, Qingnan Fan, Xi Jiang, Ye Huang, Shuai Qin, Hong Gu, Wen Li, Lixin Duan

In this work, we propose a novel solution to the text-driven style transfer task, namely, Adaptive Style Incorporation~(ASI), to achieve fine-grained feature-level style incorporation.

Style Transfer

FreeDiff: Progressive Frequency Truncation for Image Editing with Diffusion Models

no code implementations18 Apr 2024 Wei Wu, Qingnan Fan, Shuai Qin, Hong Gu, Ruoyu Zhao, Antoni B. Chan

Precise image editing with text-to-image models has attracted increasing interest due to their remarkable generative capabilities and user-friendly nature.

Denoising

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