Search Results for author: Qiguang Miao

Found 17 papers, 4 papers with code

Towards Unified Robustness Against Both Backdoor and Adversarial Attacks

1 code implementation28 May 2024 Zhenxing Niu, Yuyao Sun, Qiguang Miao, Rong Jin, Gang Hua

Specifically, our PUD has a progressive model purification scheme to jointly erase backdoors and enhance the model's adversarial robustness.

Adversarial Defense Adversarial Robustness +2

Structural Entities Extraction and Patient Indications Incorporation for Chest X-ray Report Generation

1 code implementation23 May 2024 Kang Liu, Zhuoqi Ma, Xiaolu Kang, Zhusi Zhong, Zhicheng Jiao, Grayson Baird, Harrison Bai, Qiguang Miao

This process allows the text decoder to attend to discriminative features of X-ray images, assimilate historical diagnostic information from similar cases, and understand the examination intention of patients.

Decoder Text Generation

Factual Serialization Enhancement: A Key Innovation for Chest X-ray Report Generation

1 code implementation15 May 2024 Kang Liu, Zhuoqi Ma, Mengmeng Liu, Zhicheng Jiao, Xiaolu Kang, Qiguang Miao, Kun Xie

Additionally, existing methods for similar historical cases retrieval face suboptimal performance owing to the modal gap issue.

Medical Report Generation Retrieval +3

Inlier Confidence Calibration for Point Cloud Registration

no code implementations CVPR 2024 Yongzhe Yuan, Yue Wu, Xiaolong Fan, Maoguo Gong, Qiguang Miao, Wenping Ma

Firstly we provide finely initial correspondences for ICC in order to generate high quality reference point cloud copy corresponding to the source point cloud.

Point Cloud Registration

PCRDiffusion: Diffusion Probabilistic Models for Point Cloud Registration

no code implementations11 Dec 2023 Yue Wu, Yongzhe Yuan, Xiaolong Fan, Xiaoshui Huang, Maoguo Gong, Qiguang Miao

We propose a new framework that formulates point cloud registration as a denoising diffusion process from noisy transformation to object transformation.

Denoising Point Cloud Registration

M3SOT: Multi-frame, Multi-field, Multi-space 3D Single Object Tracking

2 code implementations11 Dec 2023 Jiaming Liu, Yue Wu, Maoguo Gong, Qiguang Miao, Wenping Ma, Can Qin

3D Single Object Tracking (SOT) stands a forefront task of computer vision, proving essential for applications like autonomous driving.

3D Single Object Tracking Autonomous Driving +1

EFormer: Enhanced Transformer towards Semantic-Contour Features of Foreground for Portraits Matting

no code implementations CVPR 2024 Zitao Wang, Qiguang Miao, Peipei Zhao, Yue Xi

Based on cross-attention module, we further build a semantic and contour detector (SCD) to accurately capture both of the low-frequency semantic and high-frequency contour features.

Image Matting

One-Nearest Neighborhood Guides Inlier Estimation for Unsupervised Point Cloud Registration

no code implementations26 Jul 2023 Yongzhe Yuan, Yue Wu, Maoguo Gong, Qiguang Miao, A. K. Qin

In this paper, we propose an effective inlier estimation method for unsupervised point cloud registration by capturing geometric structure consistency between the source point cloud and its corresponding reference point cloud copy.

Model Optimization Point Cloud Registration

Evolutionary Multitasking with Solution Space Cutting for Point Cloud Registration

no code implementations12 Dec 2022 Wu Yue, Peiran Gong, Maoguo Gong, Hangqi Ding, Zedong Tang, Yibo Liu, Wenping Ma, Qiguang Miao

However, most evolving registration methods cannot tackle the local optimum well and they have rarely investigated the success ratio, which implies the probability of not falling into local optima and is closely related to the practicality of the algorithm.

Point Cloud Registration Transfer Learning

ChaLearn Looking at People: IsoGD and ConGD Large-scale RGB-D Gesture Recognition

no code implementations29 Jul 2019 Jun Wan, Chi Lin, Longyin Wen, Yunan Li, Qiguang Miao, Sergio Escalera, Gholamreza Anbarjafari, Isabelle Guyon, Guodong Guo, Stan Z. Li

The ChaLearn large-scale gesture recognition challenge has been run twice in two workshops in conjunction with the International Conference on Pattern Recognition (ICPR) 2016 and International Conference on Computer Vision (ICCV) 2017, attracting more than $200$ teams round the world.

Gesture Recognition

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