Search Results for author: Xuehui Wang

Found 16 papers, 8 papers with code

Tendency-driven Mutual Exclusivity for Weakly Supervised Incremental Semantic Segmentation

no code implementations18 Apr 2024 Chongjie Si, Xuehui Wang, Xiaokang Yang, Wei Shen

However, a scenario usually arises where a pixel is concurrently predicted as an old class by the pre-trained segmentation model and a new class by the seed areas.

Appeal: Allow Mislabeled Samples the Chance to be Rectified in Partial Label Learning

no code implementations18 Dec 2023 Chongjie Si, Xuehui Wang, Yan Wang, Xiaokang Yang, Wei Shen

In partial label learning (PLL), each instance is associated with a set of candidate labels among which only one is ground-truth.

Partial Label Learning

SVCNet: Scribble-based Video Colorization Network with Temporal Aggregation

1 code implementation21 Mar 2023 Yuzhi Zhao, Lai-Man Po, Kangcheng Liu, Xuehui Wang, Wing-Yin Yu, Pengfei Xian, Yujia Zhang, Mengyang Liu

It addresses three common issues in the scribble-based video colorization area: colorization vividness, temporal consistency, and color bleeding.

Colorization Super-Resolution

Two Efficient Beamforming Methods for Hybrid IRS-aided AF Relay Wireless Networks

no code implementations7 Jan 2023 Xuehui Wang, Feng Shu, Mengxing Huang, Fuhui Zhou, Riqing Chen, Cunhua Pan, Yongpeng Wu, Jiangzhou Wang

Moreover, it is verified that the proposed HP-SDR-FP method perform better than WF-GPI-GRR method in terms of rate performance.

Three High-rate Beamforming Methods for Active IRS-aided Wireless Network

no code implementations5 Dec 2022 Feng Shu, Jing Liu, Yeqing Lin, Yang Liu, Zhilin Chen, Xuehui Wang, Rongen Dong, Jiangzhou Wang

To fully exploit the amplifying gain achieved by active IRS, two high-rate methods, maximum ratio reflecting (MRR) and selective ratio reflecting (SRR) are presented, which are motivated by maximum ratio combining and selective ratio combining.

Vocal Bursts Intensity Prediction

H2RBox: Horizontal Box Annotation is All You Need for Oriented Object Detection

3 code implementations13 Oct 2022 Xue Yang, Gefan Zhang, Wentong Li, Xuehui Wang, Yue Zhou, Junchi Yan

Oriented object detection emerges in many applications from aerial images to autonomous driving, while many existing detection benchmarks are annotated with horizontal bounding box only which is also less costive than fine-grained rotated box, leading to a gap between the readily available training corpus and the rising demand for oriented object detection.

Autonomous Driving Box-supervised Instance Segmentation +6

D2HNet: Joint Denoising and Deblurring with Hierarchical Network for Robust Night Image Restoration

1 code implementation7 Jul 2022 Yuzhi Zhao, Yongzhe Xu, Qiong Yan, Dingdong Yang, Xuehui Wang, Lai-Man Po

Night imaging with modern smartphone cameras is troublesome due to low photon count and unavoidable noise in the imaging system.

Deblurring Denoising +1

A Survey on Label-efficient Deep Image Segmentation: Bridging the Gap between Weak Supervision and Dense Prediction

no code implementations4 Jul 2022 Wei Shen, Zelin Peng, Xuehui Wang, Huayu Wang, Jiazhong Cen, Dongsheng Jiang, Lingxi Xie, Xiaokang Yang, Qi Tian

Next, we summarize the existing label-efficient image segmentation methods from a unified perspective that discusses an important question: how to bridge the gap between weak supervision and dense prediction -- the current methods are mostly based on heuristic priors, such as cross-pixel similarity, cross-label constraint, cross-view consistency, and cross-image relation.

Image Segmentation Instance Segmentation +2

ChildPredictor: A Child Face Prediction Framework with Disentangled Learning

1 code implementation21 Apr 2022 Yuzhi Zhao, Lai-Man Po, Xuehui Wang, Qiong Yan, Wei Shen, Yujia Zhang, Wei Liu, Chun-Kit Wong, Chiu-Sing Pang, Weifeng Ou, Wing-Yin Yu, Buhua Liu

On this basis, we formulate predictions as a mapping from parents' genetic factors to children's genetic factors, and disentangle them from external and variety factors.

Age-Invariant Face Recognition Image-to-Image Translation +2

ContrastMask: Contrastive Learning to Segment Every Thing

1 code implementation CVPR 2022 Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen

In this framework, annotated masks of seen categories and pseudo masks of unseen categories serve as a prior for contrastive learning, where features from the mask regions (foreground) are pulled together, and are contrasted against those from the background, and vice versa.

Instance Segmentation Segmentation +1

SalientSleepNet: Multimodal Salient Wave Detection Network for Sleep Staging

1 code implementation24 May 2021 Ziyu Jia, Youfang Lin, Jing Wang, Xuehui Wang, Peiyi Xie, Yingbin Zhang

Besides, the multimodal attention module is proposed to adaptively capture valuable information from multimodal data for the specific sleep stage.

object-detection Object Detection +2

Lightweight Single-Image Super-Resolution Network with Attentive Auxiliary Feature Learning

1 code implementation13 Nov 2020 Xuehui Wang, Qing Wang, Yuzhi Zhao, Junchi Yan, Lei Fan, Long Chen

In this paper, we develop a computation efficient yet accurate network based on the proposed attentive auxiliary features (A$^2$F) for SISR.

Image Super-Resolution

Scene-adaptive Coded Apertures Imaging

no code implementations19 Jun 2015 Xuehui Wang, Jinli Suo, Jingyi Yu, Yongdong Zhang, Qionghai Dai

Firstly, we capture the scene with a pinhole and analyze the scene content to determine primary edge orientations.

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