Search Results for author: Pengyi Zhang

Found 13 papers, 7 papers with code

MetaGait: Learning to Learn an Omni Sample Adaptive Representation for Gait Recognition

no code implementations6 Jun 2023 Huanzhang Dou, Pengyi Zhang, Wei Su, Yunlong Yu, Xi Li

Towards this goal, MetaGait injects meta-knowledge, which could guide the model to perceive sample-specific properties, into the calibration network of the attention mechanism to improve the adaptiveness from the omni-scale, omni-dimension, and omni-process perspectives.

Gait Recognition

Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection

no code implementations28 Feb 2023 Jian Shi, Pengyi Zhang, Ni Zhang, Hakim Ghazzai, Yehia Massoud

Interestingly, apart from the remarkable image generation abilities of diffusion models, we observed that diffusion models can dissolve image details for a given image, resulting in generalized feature representations.

Anomaly Detection Image Generation

Ultra Fast Deep Lane Detection with Hybrid Anchor Driven Ordinal Classification

2 code implementations15 Jun 2022 Zequn Qin, Pengyi Zhang, Xi Li

With the help of the anchor-driven representation, we then reformulate the lane detection task as an ordinal classification problem to get the coordinates of lanes.

Lane Detection

Multitask Identity-Aware Image Steganography via Minimax Optimization

no code implementations13 Jul 2021 Jiabao Cui, Pengyi Zhang, Songyuan Li, Liangli Zheng, Cuizhu Bao, Jupeng Xia, Xi Li

The key issue of the direct recognition is to preserve identity information of secret images into container images and make container images look similar to cover images at the same time.

Image Restoration Image Steganography

VersatileGait: A Large-Scale Synthetic Gait Dataset with Fine-GrainedAttributes and Complicated Scenarios

no code implementations5 Jan 2021 Huanzhang Dou, Wenhu Zhang, Pengyi Zhang, Yuhan Zhao, Songyuan Li, Zequn Qin, Fei Wu, Lin Dong, Xi Li

With the motivation of practical gait recognition applications, we propose to automatically create a large-scale synthetic gait dataset (called VersatileGait) by a game engine, which consists of around one million silhouette sequences of 11, 000 subjects with fine-grained attributes in various complicated scenarios.

Gait Recognition

FcaNet: Frequency Channel Attention Networks

2 code implementations ICCV 2021 Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li

With the proof, we naturally generalize the compression of the channel attention mechanism in the frequency domain and propose our method with multi-spectral channel attention, termed as FcaNet.

Image Classification Instance Segmentation +3

DRR4Covid: Learning Automated COVID-19 Infection Segmentation from Digitally Reconstructed Radiographs

1 code implementation26 Aug 2020 Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li

The infection-aware DRR generator is able to produce DRRs with adjustable strength of radiological signs of COVID-19 infection, and generate pixel-level infection annotations that match the DRRs precisely.

COVID-19 Diagnosis Domain Adaptation

Learning Diagnosis of COVID-19 from a Single Radiological Image

1 code implementation arXiv:2006.12220 2020 Pengyi Zhang, Yunxin Zhong, Xiaoying Tang, Yunlin Deng, Xiaoqiong Li

To address this problem, we explore the feasibility of learning deep models for COVID-19 diagnosis from a single radiological image by resorting to synthesizing diverse radiological images.

COVID-19 Diagnosis Data Augmentation

ACCL: Adversarial constrained-CNN loss for weakly supervised medical image segmentation

1 code implementation1 May 2020 Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li

In the new paradigm, prior knowledge is encoded and depicted by reference masks, and is further employed to impose constraints on segmentation outputs through adversarial learning with reference masks.

Image Segmentation Medical Image Segmentation +3

A Survey on Deep Learning of Small Sample in Biomedical Image Analysis

1 code implementation1 Aug 2019 Pengyi Zhang, Yunxin Zhong, Yulin Deng, Xiaoying Tang, Xiaoqiong Li

In order to accelerate the clinical usage of biomedical image analysis based on deep learning techniques, we intentionally expand this survey to include the explanation methods for deep models that are important to clinical decision making.

Active Learning Data Augmentation +4

SlimYOLOv3: Narrower, Faster and Better for Real-Time UAV Applications

2 code implementations25 Jul 2019 Pengyi Zhang, Yunxin Zhong, Xiaoqiong Li

Drones or general Unmanned Aerial Vehicles (UAVs), endowed with computer vision function by on-board cameras and embedded systems, have become popular in a wide range of applications.

object-detection Real-Time Object Detection +1

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