Search Results for author: Zhijing Yang

Found 26 papers, 9 papers with code

Active Mining Sample Pair Semantics for Image-text Matching

no code implementations9 Nov 2023 Yongfeng Chena, Jin Liua, Zhijing Yang, Ruihan Chena, Junpeng Tan

2) The weak generalization ability of the model leads to the poor effect of image and text matching on large-scale datasets.

Active Learning Image-text matching +3

Data-Centric Diet: Effective Multi-center Dataset Pruning for Medical Image Segmentation

no code implementations2 Aug 2023 Yongkang He, Mingjin Chen, Zhijing Yang, Yongyi Lu

This paper seeks to address the dense labeling problems where a significant fraction of the dataset can be pruned without sacrificing much accuracy.

Image Classification Image Segmentation +3

Low Rank Properties for Estimating Microphones Start Time and Sources Emission Time

no code implementations14 Jul 2023 Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang, S. M. Ahsan Kazmiand Yingxiu Chang

Utilizing this augmented low-rank structural information from both LRP and the proposed variants, we formulate four linear constraints on the UTIm.

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-World Video Super-Resolution

no code implementations24 May 2023 Yexing Song, Meilin Wang, Zhijing Yang, Xiaoyu Xian, Yukai Shi

On the contrary, simple combinations of classical degradation are used for real-world noise modeling, which led to the VSR model often being violated by out-of-distribution noise.

Video Super-Resolution

Justices for Information Bottleneck Theory

no code implementations19 May 2023 Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang

This study comes as a timely response to mounting criticism of the information bottleneck (IB) theory, injecting fresh perspectives to rectify misconceptions and reaffirm its validity.


Are Microphone Signals Alone Sufficient for Self-Positioning?

no code implementations19 May 2023 Faxian Cao, Yongqiang Cheng, Adil Mehmood Khan, Zhijing Yang

In an era where asynchronous environments pose challenges to traditional self-positioning methods, we propose a new transformation to the existing paradigm.

Open-World Pose Transfer via Sequential Test-Time Adaption

no code implementations20 Mar 2023 Junyang Chen, Xiaoyu Xian, Zhijing Yang, Tianshui Chen, Yongyi Lu, Yukai Shi, Jinshan Pan, Liang Lin

In open-world conditions, the pose transfer task raises various independent signals: OOD appearance and skeleton, which need to be extracted and distributed in speciality.

Motion Synthesis Person Re-Identification +2

OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup

2 code implementations3 Jan 2023 Zhijing Yang, Junyang Chen, Yukai Shi, Hao Li, Tianshui Chen, Liang Lin

Image Virtual try-on aims at replacing the cloth on a personal image with a garment image (in-shop clothes), which has attracted increasing attention from the multimedia and computer vision communities.

Semantic Parsing Virtual Try-on

DnSwin: Toward Real-World Denoising via Continuous Wavelet Sliding-Transformer

1 code implementation28 Jul 2022 Hao Li, Zhijing Yang, Xiaobin Hong, Ziying Zhao, Junyang Chen, Yukai Shi, Jinshan Pan

Real-world image denoising is a practical image restoration problem that aims to obtain clean images from in-the-wild noisy inputs.

Image Denoising Image Restoration

Criteria Comparative Learning for Real-scene Image Super-Resolution

2 code implementations26 Jul 2022 Yukai Shi, Hao Li, Sen Zhang, Zhijing Yang, Xiao Wang

Inspired by the observation that the contrastive relationship could also exist between the criteria, in this work, we propose a novel training paradigm for RealSR, named Criteria Comparative Learning (Cria-CL), by developing contrastive losses defined on criteria instead of image patches.

Contrastive Learning Image Super-Resolution +1

Real-World Image Super-Resolution by Exclusionary Dual-Learning

1 code implementation6 Jun 2022 Hao Li, Jinghui Qin, Zhijing Yang, Pengxu Wei, Jinshan Pan, Liang Lin, Yukai Shi

Real-world image super-resolution is a practical image restoration problem that aims to obtain high-quality images from in-the-wild input, has recently received considerable attention with regard to its tremendous application potentials.

Image Restoration Image Super-Resolution

Dual-Perspective Semantic-Aware Representation Blending for Multi-Label Image Recognition with Partial Labels

1 code implementation26 May 2022 Tao Pu, Tianshui Chen, Hefeng Wu, Yukai Shi, Zhijing Yang, Liang Lin

Specifically, an instance-perspective representation blending (IPRB) module is designed to blend the representations of the known labels in an image with the representations of the corresponding unknown labels in another image to complement these unknown labels.

Image Classification Multi-label Image Recognition with Partial Labels

Heterogeneous Semantic Transfer for Multi-label Recognition with Partial Labels

1 code implementation23 May 2022 Tianshui Chen, Tao Pu, Lingbo Liu, Yukai Shi, Zhijing Yang, Liang Lin

Multi-label image recognition with partial labels (MLR-PL), in which some labels are known while others are unknown for each image, may greatly reduce the cost of annotation and thus facilitate large-scale MLR.

Multi-label Image Recognition with Partial Labels

NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results

2 code implementations11 May 2022 Yawei Li, Kai Zhang, Radu Timofte, Luc van Gool, Fangyuan Kong, Mingxi Li, Songwei Liu, Zongcai Du, Ding Liu, Chenhui Zhou, Jingyi Chen, Qingrui Han, Zheyuan Li, Yingqi Liu, Xiangyu Chen, Haoming Cai, Yu Qiao, Chao Dong, Long Sun, Jinshan Pan, Yi Zhu, Zhikai Zong, Xiaoxiao Liu, Zheng Hui, Tao Yang, Peiran Ren, Xuansong Xie, Xian-Sheng Hua, Yanbo Wang, Xiaozhong Ji, Chuming Lin, Donghao Luo, Ying Tai, Chengjie Wang, Zhizhong Zhang, Yuan Xie, Shen Cheng, Ziwei Luo, Lei Yu, Zhihong Wen, Qi Wu1, Youwei Li, Haoqiang Fan, Jian Sun, Shuaicheng Liu, Yuanfei Huang, Meiguang Jin, Hua Huang, Jing Liu, Xinjian Zhang, Yan Wang, Lingshun Long, Gen Li, Yuanfan Zhang, Zuowei Cao, Lei Sun, Panaetov Alexander, Yucong Wang, Minjie Cai, Li Wang, Lu Tian, Zheyuan Wang, Hongbing Ma, Jie Liu, Chao Chen, Yidong Cai, Jie Tang, Gangshan Wu, Weiran Wang, Shirui Huang, Honglei Lu, Huan Liu, Keyan Wang, Jun Chen, Shi Chen, Yuchun Miao, Zimo Huang, Lefei Zhang, Mustafa Ayazoğlu, Wei Xiong, Chengyi Xiong, Fei Wang, Hao Li, Ruimian Wen, Zhijing Yang, Wenbin Zou, Weixin Zheng, Tian Ye, Yuncheng Zhang, Xiangzhen Kong, Aditya Arora, Syed Waqas Zamir, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Dandan Gaoand Dengwen Zhouand Qian Ning, Jingzhu Tang, Han Huang, YuFei Wang, Zhangheng Peng, Haobo Li, Wenxue Guan, Shenghua Gong, Xin Li, Jun Liu, Wanjun Wang, Dengwen Zhou, Kun Zeng, Hanjiang Lin, Xinyu Chen, Jinsheng Fang

The aim was to design a network for single image super-resolution that achieved improvement of efficiency measured according to several metrics including runtime, parameters, FLOPs, activations, and memory consumption while at least maintaining the PSNR of 29. 00dB on DIV2K validation set.

Image Super-Resolution

Unsupervised Multi-view Clustering by Squeezing Hybrid Knowledge from Cross View and Each View

no code implementations23 Aug 2020 Junpeng Tan, Yukai Shi, Zhijing Yang, Caizhen Wen, Liang Lin

To ensure that we achieve effective sparse representation and clustering performance on the original data matrix, adaptive graph regularization and unsupervised clustering constraints are also incorporated in the proposed model to preserve the internal structural features of the data.


DDet: Dual-path Dynamic Enhancement Network for Real-World Image Super-Resolution

1 code implementation25 Feb 2020 Yukai Shi, Haoyu Zhong, Zhijing Yang, Xiaojun Yang, Liang Lin

Previous image SR methods fail to exhibit similar performance on Real-SR as the image data is not aligned inherently.

Image Super-Resolution

POP-CNN: Predicting Odor's Pleasantness with Convolutional Neural Network

no code implementations19 Mar 2019 Danli Wu, Yu Cheng, Dehan Luo, Kin-Yeung Wong, Kevin Hung, Zhijing Yang

Predicting odor's pleasantness simplifies the evaluation of odors and has the potential to be applied in perfumes and environmental monitoring industry.

Conditioning Optimization of Extreme Learning Machine by Multitask Beetle Antennae Swarm Algorithm

no code implementations22 Nov 2018 Xixian Zhang, Zhijing Yang, Faxian Cao, Jiangzhong Cao, Meilin Wang, Nian Cai

Extreme learning machine (ELM) as a simple and rapid neural network has been shown its good performance in various areas.

Does Normalization Methods Play a Role for Hyperspectral Image Classification?

no code implementations9 Oct 2017 Faxian Cao, Zhijing Yang, Jinchang Ren, Mengying Jiang, Wing-Kuen Ling

For Hyperspectral image (HSI) datasets, each class have their salient feature and classifiers classify HSI datasets according to the class's saliency features, however, there will be different salient features when use different normalization method.

Classification General Classification +1

Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification

no code implementations12 Sep 2017 Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling

To tackle these two problems, in this paper, we propose a new framework for ELM based spectral-spatial classification of HSI, where probabilistic modelling with sparse representation and weighted composite features (WCF) are employed respectively to derive the op-timized output weights and extract spatial features.

Classification General Classification +1

Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification

no code implementations8 Sep 2017 Faxian Cao, Zhijing Yang, Jinchang Ren, Wing-Kuen Ling

Although the sparse multinomial logistic regression (SMLR) has provided a useful tool for sparse classification, it suffers from inefficacy in dealing with high dimensional features and manually set initial regressor values.

Attribute Classification +3

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