Search Results for author: Xinliang Zhang

Found 14 papers, 5 papers with code

Exploiting Inherent Class Label: Towards Robust Scribble Supervised Semantic Segmentation

1 code implementation18 Mar 2025 Xinliang Zhang, Lei Zhu, Shuang Zeng, Hangzhou He, Ourui Fu, Zhengjian Yao, Zhaoheng Xie, Yanye Lu

Scribble-based weakly supervised semantic segmentation leverages only a few annotated pixels as labels to train a segmentation model, presenting significant potential for reducing the human labor involved in the annotation process.

Segmentation Weakly supervised Semantic Segmentation +1

Interference-Aware Super-Constellation Design for NOMA

no code implementations10 Mar 2025 Mojtaba Vaezi, Xinliang Zhang

Non-orthogonal multiple access (NOMA) has gained significant attention as a potential next-generation multiple access technique.

V2C-CBM: Building Concept Bottlenecks with Vision-to-Concept Tokenizer

1 code implementation9 Jan 2025 Hangzhou He, Lei Zhu, Xinliang Zhang, Shuang Zeng, Qian Chen, Yanye Lu

Concept Bottleneck Models (CBMs) offer inherent interpretability by initially translating images into human-comprehensible concepts, followed by a linear combination of these concepts for classification.

Multi-Level Correlation Network For Few-Shot Image Classification

1 code implementation4 Dec 2024 Yunkai Dang, Min Zhang, Zhengyu Chen, Xinliang Zhang, Zheng Wang, Meijun Sun, Donglin Wang

In this paper, we argue that measure at such a level may not be effective enough to generalize from base to novel classes when using only a few images.

Few-Shot Image Classification Metric Learning +1

Low-Rank Mixture-of-Experts for Continual Medical Image Segmentation

no code implementations19 Jun 2024 Qian Chen, Lei Zhu, Hangzhou He, Xinliang Zhang, Shuang Zeng, Qiushi Ren, Yanye Lu

However, the incorrect pseudo-labels may corrupt the learned feature and lead to a new problem that the better the model is trained on the old task, the poorer the model performs on the new tasks.

Continual Learning Image Segmentation +2

Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label

1 code implementation27 Feb 2024 Xinliang Zhang, Lei Zhu, Hangzhou He, Lujia Jin, Yanye Lu

In this study, we propose a class-driven scribble promotion network, which utilizes both scribble annotations and pseudo-labels informed by image-level classes and global semantics for supervision.

Segmentation Weakly supervised Semantic Segmentation +1

Deep Autoencoder-based Z-Interference Channels with Perfect and Imperfect CSI

no code implementations23 Oct 2023 Xinliang Zhang, Mojtaba Vaezi

The proposed structure significantly enhances the performance of the ZIC both for the perfect and imperfect CSI.

Quantization

Multi-level Asymmetric Contrastive Learning for Volumetric Medical Image Segmentation Pre-training

no code implementations21 Sep 2023 Shuang Zeng, Lei Zhu, Xinliang Zhang, Qian Chen, Hangzhou He, Lujia Jin, Zifeng Tian, Qiushi Ren, Zhaoheng Xie, Yanye Lu

Moreover, we develop a multi-level contrastive learning strategy that integrates correspondences across feature-level, image-level, and pixel-level representations to ensure the encoder and decoder capture comprehensive details from representations of varying scales and granularities during the pre-training phase.

Contrastive Learning Decoder +4

3D Implicit Transporter for Temporally Consistent Keypoint Discovery

1 code implementation ICCV 2023 Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao

To address this issue, the Transporter method was introduced for 2D data, which reconstructs the target frame from the source frame to incorporate both spatial and temporal information.

Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation

no code implementations9 Aug 2023 Lei Zhu, Hangzhou He, Xinliang Zhang, Qian Chen, Shuang Zeng, Qiushi Ren, Yanye Lu

Existing methods adopt an online-trained classification branch to provide pseudo annotations for supervising the segmentation branch.

Classification Segmentation +3

Fully-integrated multipurpose microwave frequency identification system on a single chip

no code implementations17 Feb 2022 Yuhan Yao, Yuhe Zhao, Yanxian Wei, Feng Zhou, Daigao Chen, Yuguang Zhang, Xi Xiao, Ming Li, Jianji Dong, Shaohua Yu, Xinliang Zhang

We demonstrate a fully-integrated multipurpose microwave frequency identification system on silicon-on-insulator platform.

Multi-Objective DNN-based Precoder for MIMO Communications

no code implementations6 Jul 2020 Xinliang Zhang, Mojtaba Vaezi

Numerical results demonstrate that, compared to the conventional solutions, the proposed DNN-based precoder reduces on-the-fly computational complexity more than an order of magnitude while reaching near-optimal performance (99. 45\% of the averaged optimal solutions).

Deep Learning based Precoding for the MIMO Gaussian Wiretap Channel

no code implementations17 Sep 2019 Xinliang Zhang, Mojtaba Vaezi

A novel precoding method based on supervised deep neural networks is introduced for the multiple-input multiple-output Gaussian wiretap channel.

Deep Learning

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