Search Results for author: Junyang Chen

Found 25 papers, 7 papers with code

CUPID: Improving Battle Fairness and Position Satisfaction in Online MOBA Games with a Re-matchmaking System

no code implementations28 Jun 2024 Ge Fan, Chaoyun Zhang, Kai Wang, Yingjie Li, Junyang Chen, Zenglin Xu

Enhancing the gaming experience requires a deep understanding of player behavior, and a crucial aspect of MOBA games is matchmaking, which aims to assemble teams of comparable skill levels.

Fairness Position

ROG$_{PL}$: Robust Open-Set Graph Learning via Region-Based Prototype Learning

no code implementations28 Feb 2024 Qin Zhang, Xiaowei Li, Jiexin Lu, Liping Qiu, Shirui Pan, Xiaojun Chen, Junyang Chen

In specific, ROG$_{PL}$ consists of two modules, i. e., denoising via label propagation and open-set prototype learning via regions.

Denoising Graph Learning +2

PH-Net: Semi-Supervised Breast Lesion Segmentation via Patch-wise Hardness

1 code implementation CVPR 2024 Siyao Jiang, Huisi Wu, Junyang Chen, Qin Zhang, Jing Qin

We first identify hard patches by computing the average entropy of each patch and then shield hard patches to prevent them from being cropped out while performing random patch cutmix.

Contrastive Learning Image Segmentation +2

ParsNets: A Parsimonious Orthogonal and Low-Rank Linear Networks for Zero-Shot Learning

no code implementations15 Dec 2023 Jingcai Guo, Qihua Zhou, Ruibing Li, Xiaocheng Lu, Ziming Liu, Junyang Chen, Xin Xie, Jie Zhang

Then, to facilitate the generalization of local linearities, we construct a maximal margin geometry on the learned features by enforcing low-rank constraints on intra-class samples and high-rank constraints on inter-class samples, resulting in orthogonal subspaces for different classes and each subspace lies on a compact manifold.

Zero-Shot Learning

Ranking-aware Uncertainty for Text-guided Image Retrieval

no code implementations16 Aug 2023 Junyang Chen, Hanjiang Lai

Specifically, our approach mainly comprises three components: (1) In-sample uncertainty, which aims to capture semantic diversity using a Gaussian distribution derived from both combined and target features; (2) Cross-sample uncertainty, which further mines the ranking information from other samples' distributions; and (3) Distribution regularization, which aligns the distributional representations of source inputs and targeted image.

Diversity Image Retrieval +1

MvCo-DoT:Multi-View Contrastive Domain Transfer Network for Medical Report Generation

no code implementations15 Apr 2023 Ruizhi Wang, Xiangtao Wang, Zhenghua Xu, Wenting Xu, Junyang Chen, Thomas Lukasiewicz

In clinical scenarios, multiple medical images with different views are usually generated at the same time, and they have high semantic consistency.

Contrastive Learning Medical Report Generation

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 +1

MPS-AMS: Masked Patches Selection and Adaptive Masking Strategy Based Self-Supervised Medical Image Segmentation

no code implementations27 Feb 2023 Xiangtao Wang, Ruizhi Wang, Biao Tian, Jiaojiao Zhang, Shuo Zhang, Junyang Chen, Thomas Lukasiewicz, Zhenghua Xu

We leverage the masked patches selection strategy to choose masked patches with lesions to obtain more lesion representation information, and the adaptive masking strategy is utilized to help learn more mutual information and improve performance further.

Contrastive Learning Image Segmentation +4

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

MV-HAN: A Hybrid Attentive Networks based Multi-View Learning Model for Large-scale Contents Recommendation

no code implementations14 Oct 2022 Ge Fan, Chaoyun Zhang, Kai Wang, Junyang Chen

In this paper, we introduce a novel Multi-View Approach with Hybrid Attentive Networks (MV-HAN) for contents retrieval at the matching stage of recommender systems.

MULTI-VIEW LEARNING Recommendation Systems +1

Hybrid Reinforced Medical Report Generation with M-Linear Attention and Repetition Penalty

no code implementations14 Oct 2022 Wenting Xu, Zhenghua Xu, Junyang Chen, Chang Qi, Thomas Lukasiewicz

In this article, we propose a hybrid reinforced medical report generation method with m-linear attention and repetition penalty mechanism (HReMRG-MR) to overcome these problems.

Medical Report Generation

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.

Decoder Image Denoising +1

A Unified Joint Maximum Mean Discrepancy for Domain Adaptation

no code implementations25 Jan 2021 Wei Wang, Baopu Li, Shuhui Yang, Jing Sun, Zhengming Ding, Junyang Chen, Xiao Dong, Zhihui Wang, Haojie Li

From the revealed unified JMMD, we illustrate that JMMD degrades the feature-label dependence (discriminability) that benefits to classification, and it is sensitive to the label distribution shift when the label kernel is the weighted class conditional one.

Domain Adaptation

Efficient Medical Image Segmentation with Intermediate Supervision Mechanism

no code implementations15 Nov 2020 Di Yuan, Junyang Chen, Zhenghua Xu, Thomas Lukasiewicz, Zhigang Fu, Guizhi Xu

However, U-Net is mainly engaged in segmentation, and the extracted features are also targeted at segmentation location information, and the input and output are different.

Decoder Image Segmentation +3

SAG-GAN: Semi-Supervised Attention-Guided GANs for Data Augmentation on Medical Images

no code implementations15 Nov 2020 Chang Qi, Junyang Chen, Guizhi Xu, Zhenghua Xu, Thomas Lukasiewicz, Yang Liu

We first generate MRI images on limited datasets, then we trained three popular classification models to get the best model for tumor classification.

Data Augmentation General Classification +2

Joint Self-Attention and Scale-Aggregation for Self-Calibrated Deraining Network

1 code implementation6 Aug 2020 Cong Wang, Yutong Wu, Zhixun Su, Junyang Chen

In the field of multimedia, single image deraining is a basic pre-processing work, which can greatly improve the visual effect of subsequent high-level tasks in rainy conditions.

Single Image Deraining

DCSFN: Deep Cross-scale Fusion Network for Single Image Rain Removal

no code implementations3 Aug 2020 Cong Wang, Xiaoying Xing, Zhixun Su, Junyang Chen

Further, we design an inner-scale connection block to utilize the multi-scale information and features fusion way between different scales to improve rain representation ability and we introduce the dense block with skip connection to inner-connect these blocks.

Rain Removal

D2D-Enabled Data Sharing for Distributed Machine Learning at Wireless Network Edge

no code implementations28 Jan 2020 Xiaoran Cai, Xiaopeng Mo, Junyang Chen, Jie Xu

Mobile edge learning is an emerging technique that enables distributed edge devices to collaborate in training shared machine learning models by exploiting their local data samples and communication and computation resources.

BIG-bench Machine Learning

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