Search Results for author: Huiyu Zhou

Found 84 papers, 40 papers with code

MMFusion: Multi-modality Diffusion Model for Lymph Node Metastasis Diagnosis in Esophageal Cancer

1 code implementation15 May 2024 Chengyu Wu, Chengkai Wang, Yaqi Wang, Huiyu Zhou, Yatao Zhang, Qifeng Wang, Shuai Wang

In addition, efficient and effective interactions between multi-modal representations need to be further explored, lacking insightful exploration of prognostic correlation in multi-modality features.

Representation Learning

Multilateral Temporal-view Pyramid Transformer for Video Inpainting Detection

no code implementations17 Apr 2024 Ying Zhang, Yuezun Li, Bo Peng, Jiaran Zhou, Huiyu Zhou, Junyu Dong

The task of video inpainting detection is to expose the pixel-level inpainted regions within a video sequence.

Decoder Diversity +1

Assessing the Efficacy of Invisible Watermarks in AI-Generated Medical Images

no code implementations5 Feb 2024 Xiaodan Xing, Huiyu Zhou, Yingying Fang, Guang Yang

AI-generated medical images are gaining growing popularity due to their potential to address the data scarcity challenge in the real world.

SMC-NCA: Semantic-guided Multi-level Contrast for Semi-supervised Temporal Action Segmentation

no code implementations19 Dec 2023 Feixiang Zhou, Zheheng Jiang, Huiyu Zhou, Xuelong Li

However, learning the representation of each frame by unsupervised contrastive learning for action segmentation remains an open and challenging problem.

Action Segmentation Contrastive Learning +2

DomainForensics: Exposing Face Forgery across Domains via Bi-directional Adaptation

no code implementations17 Dec 2023 Qingxuan Lv, Yuezun Li, Junyu Dong, Sheng Chen, Hui Yu, Huiyu Zhou, Shu Zhang

Specifically, our strategy considers both forward and backward adaptation, to transfer the forgery knowledge from the source domain to the target domain in forward adaptation and then reverse the adaptation from the target domain to the source domain in backward adaptation.

DeepFake Detection Face Swapping +2

Efficient Object Detection in Optical Remote Sensing Imagery via Attention-based Feature Distillation

no code implementations28 Oct 2023 Pourya Shamsolmoali, Jocelyn Chanussot, Huiyu Zhou, Yue Lu

To address the aforementioned challenges, we propose Attention-based Feature Distillation (AFD), a new KD approach that distills both local and global information from the teacher detector.

Knowledge Distillation Object +2

SIDE: Self-supervised Intermediate Domain Exploration for Source-free Domain Adaptation

1 code implementation13 Oct 2023 Jiamei Liu, Han Sun, Yizhen Jia, Jie Qin, Huiyu Zhou, Ningzhong Liu

Domain adaptation aims to alleviate the domain shift when transferring the knowledge learned from the source domain to the target domain.

Self-Supervised Learning Source-Free Domain Adaptation

Distance Weighted Trans Network for Image Completion

no code implementations11 Oct 2023 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Xuelong Li, Yue Lu

The challenge of image generation has been effectively modeled as a problem of structure priors or transformation.

Image Generation

FGFusion: Fine-Grained Lidar-Camera Fusion for 3D Object Detection

1 code implementation21 Sep 2023 Zixuan Yin, Han Sun, Ningzhong Liu, Huiyu Zhou, Jiaquan Shen

In this paper, we propose Fine-Grained Lidar-Camera Fusion (FGFusion) that make full use of multi-scale features of image and point cloud and fuse them in a fine-grained way.

3D Object Detection Autonomous Driving +1

Secure Control of Networked Inverted Pendulum Visual Servo System with Adverse Effects of Image Computation (Extended Version)

no code implementations7 Sep 2023 Dajun Du, Changda Zhang, Qianjiang Lu, Minrui Fei, Huiyu Zhou

When visual image information is transmitted via communication networks, it easily suffers from image attacks, leading to system performance degradation or even crash.

CLANet: A Comprehensive Framework for Cross-Batch Cell Line Identification Using Brightfield Images

1 code implementation28 Jun 2023 Lei Tong, Adam Corrigan, Navin Rathna Kumar, Kerry Hallbrook, Jonathan Orme, Yinhai Wang, Huiyu Zhou

To address this challenge, we introduce CLANet, a pioneering framework for cross-batch cell line identification using brightfield images, specifically designed to tackle three distinct batch effects.

Domain Adaptation Multiple Instance Learning +2

Learning Geometric Transformation for Point Cloud Completion

2 code implementations International Journal of Computer Vision 2023 Shengping Zhang, Xianzhu Liu, Haozhe Xie, Liqiang Nie, Huiyu Zhou, DaCheng Tao, Xuelong Li

It exploits the repetitive geometric structures in common 3D objects to recover the complete shapes, which contains three sub-networks: geometric patch network, structure transformation network, and detail refinement network.

Decoder Point Cloud Completion

DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model

no code implementations21 May 2023 Xiangrong Zhang, Shunli Tian, Guanchun Wang, Huiyu Zhou, Licheng Jiao

In this work, we extend the diffusion model's application to the HSI-CD field and propose a novel unsupervised HSI-CD with semantic correlation diffusion model (DiffUCD).

Change Detection Contrastive Learning +2

VTAE: Variational Transformer Autoencoder with Manifolds Learning

1 code implementation3 Apr 2023 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, DaCheng Tao, Xuelong Li

This weak projection, however, can be addressed by a Riemannian metric, and we show that geodesics computation and accurate interpolations between data samples on the Riemannian manifold can substantially improve the performance of deep generative models.

Representation Learning

LSDM: Long-Short Diffeomorphic Motion for Weakly-Supervised Ultrasound Landmark Tracking

no code implementations11 Jan 2023 Zhihua Liu, Bin Yang, Yan Shen, Xuejun Ni, Huiyu Zhou

In this paper, we propose a long-short diffeomorphic motion network, which is a multi-task framework with a learnable deformation prior to search for the plausible deformation of landmark.

Landmark Tracking

DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation

no code implementations19 Dec 2022 Fang Chen, Heiko Balzter, Feixiang Zhou, Peng Ren, Huiyu Zhou

In this paper, we develop an effective segmentation framework named DGNet, which performs oil spill segmentation by incorporating the intrinsic distribution of backscatter values in SAR images.

Image Segmentation Segmentation +1

Deep Learning Methods for Calibrated Photometric Stereo and Beyond

1 code implementation16 Dec 2022 Yakun Ju, Kin-Man Lam, Wuyuan Xie, Huiyu Zhou, Junyu Dong, Boxin Shi

We summarize the performance of deep learning photometric stereo models on the most widely-used benchmark data set.

Stealthy Measurement-Aided Pole-Dynamics Attacks with Nominal Models

no code implementations26 Oct 2022 Dajun Du, Changda Zhang, Chen Peng, Minrui Fei, Huiyu Zhou

Thirdly, the performance of the proposed MAPDAs method is explored using convergence of multivariate measurements, and MAPDAs with model mismatch have the same stealthiness and similar destructiveness as TPDAs.

A Task-aware Dual Similarity Network for Fine-grained Few-shot Learning

1 code implementation22 Oct 2022 Yan Qi, Han Sun, Ningzhong Liu, Huiyu Zhou

The goal of fine-grained few-shot learning is to recognize sub-categories under the same super-category by learning few labeled samples.

Few-Shot Learning

Polycentric Clustering and Structural Regularization for Source-free Unsupervised Domain Adaptation

1 code implementation14 Oct 2022 Xinyu Guan, Han Sun, Ningzhong Liu, Huiyu Zhou

In this paper, a novel framework named PCSR is proposed to tackle SFDA via a novel intra-class Polycentric Clustering and Structural Regularization strategy.

Clustering Source-Free Domain Adaptation +1

Representing Camera Response Function by a Single Latent Variable and Fully Connected Neural Network

1 code implementation8 Sep 2022 Yunfeng Zhao, Stuart Ferguson, Huiyu Zhou, Karen Rafferty

In this paper, a new high-performance camera response model that uses a single latent variable and fully connected neural network is proposed.

Binary Representation via Jointly Personalized Sparse Hashing

1 code implementation31 Aug 2022 Xiaoqin Wang, Chen Chen, Rushi Lan, Licheng Liu, Zhenbing Liu, Huiyu Zhou, Xiaonan Luo

Different personalized subspaces are constructed to reflect category-specific attributes for different clusters, adaptively mapping instances within the same cluster to the same Hamming space.

Representation Learning

Video-based Cross-modal Auxiliary Network for Multimodal Sentiment Analysis

1 code implementation30 Aug 2022 Rongfei Chen, Wenju Zhou, Yang Li, Huiyu Zhou

Multimodal sentiment analysis has a wide range of applications due to its information complementarity in multimodal interactions.

Classification Diversity +2

Cross-Skeleton Interaction Graph Aggregation Network for Representation Learning of Mouse Social Behaviour

no code implementations7 Aug 2022 Feixiang Zhou, Xinyu Yang, Fang Chen, Long Chen, Zheheng Jiang, Hui Zhu, Reiko Heckel, Haikuan Wang, Minrui Fei, Huiyu Zhou

Furthermore, we design a novel Interaction-Aware Transformer (IAT) to dynamically learn the graph-level representation of social behaviours and update the node-level representation, guided by our proposed interaction-aware self-attention mechanism.

Representation Learning Self-Supervised Learning

CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation

1 code implementation2 Aug 2022 Weiwei Cui, Yaqi Wang, Yilong Li, Dan Song, Xingyong Zuo, Jiaojiao Wang, Yifan Zhang, Huiyu Zhou, Bung san Chong, Liaoyuan Zeng, Qianni Zhang

This work provides a new benchmark for the tooth volume segmentation task, and the experiment can serve as the baseline for future AI-based dental imaging research and clinical application development.

Active Learning Segmentation

giMLPs: Gate with Inhibition Mechanism in MLPs

1 code implementation1 Aug 2022 Cheng Kang, Jindich Prokop, Lei Tong, Huiyu Zhou, Yong Hu, Daneil Novak

As for the gate with inhibition MLPs on DeBERTa (giDeBERTa) fine-tuning, we find it can achieve appealing results on most parts of NLU tasks without any extra pretraining again.

Image Classification

Attention Guided Network for Salient Object Detection in Optical Remote Sensing Images

1 code implementation5 Jul 2022 Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou

Specifically, the position enhancement stage consists of a semantic attention module and a contextual attention module to accurately describe the approximate location of salient objects.

object-detection Object Detection +2

Salient Skin Lesion Segmentation via Dilated Scale-Wise Feature Fusion Network

no code implementations20 May 2022 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou

Skin lesion detection in dermoscopic images is essential in the accurate and early diagnosis of skin cancer by a computerized apparatus.

Lesion Detection Lesion Segmentation +2

A lightweight multi-scale context network for salient object detection in optical remote sensing images

1 code implementation18 May 2022 Yuhan Lin, Han Sun, Ningzhong Liu, Yetong Bian, Jun Cen, Huiyu Zhou

Meanwhile, in order to accurately detect complete salient objects in complex backgrounds, we design an attention-based pyramid feature aggregation mechanism for gradually aggregating and refining the salient regions from the multi-scale context extraction module.

object-detection Object Detection +1

Absolute Wrong Makes Better: Boosting Weakly Supervised Object Detection via Negative Deterministic Information

no code implementations21 Apr 2022 Guanchun Wang, Xiangrong Zhang, Zelin Peng, Xu Tang, Huiyu Zhou, Licheng Jiao

In the exploiting stage, we utilize the extracted NDI to construct a novel negative contrastive learning mechanism and a negative guided instance selection strategy for dealing with the issues of part domination and missing instances, respectively.

Contrastive Learning Multiple Instance Learning +2

Plug-and-play Shape Refinement Framework for Multi-site and Lifespan Brain Skull Stripping

no code implementations8 Mar 2022 Yunxiang Li, Ruilong Dan, Shuai Wang, Yifan Cao, Xiangde Luo, Chenghao Tan, Gangyong Jia, Huiyu Zhou, You Zhang, Yaqi Wang, Li Wang

For instance, the model trained on a dataset with specific imaging parameters cannot be well applied to other datasets with different imaging parameters.

Skull Stripping Source-Free Domain Adaptation

Neuroplastic graph attention networks for nuclei segmentation in histopathology images

no code implementations10 Jan 2022 Yoav Alon, Huiyu Zhou

The architecture is comprised of a novel neuroplastic graph attention network based on residual graph attention layers and concurrent optimization of the graph structure representing multiple magnification levels of the histopathological image.

Graph Attention Graph Neural Network +2

Colour alignment for relative colour constancy via non-standard references

no code implementations30 Dec 2021 Yunfeng Zhao, Stuart Ferguson, Huiyu Zhou, Chris Elliott, Karen Rafferty

This makes it hard to achieve consistent colour assessment across a range of devices, and that undermines the performance of computer vision algorithms.

Anchor Retouching via Model Interaction for Robust Object Detection in Aerial Images

1 code implementation13 Dec 2021 Dong Liang, Qixiang Geng, Zongqi Wei, Dmitry A. Vorontsov, Ekaterina L. Kim, Mingqiang Wei, Huiyu Zhou

On DOTA, our DEA-Net which integrated with the baseline of RoI-Transformer surpasses the advanced method by 0. 40% mean-Average-Precision (mAP) for oriented object detection with a weaker backbone network (ResNet-101 vs ResNet-152) and 3. 08% mean-Average-Precision (mAP) for horizontal object detection with the same backbone.

Ranked #16 on Object Detection In Aerial Images on DOTA (using extra training data)

Object object-detection +4

Semantically Contrastive Learning for Low-light Image Enhancement

1 code implementation13 Dec 2021 Dong Liang, Ling Li, Mingqiang Wei, Shuo Yang, Liyan Zhang, Wenhan Yang, Yun Du, Huiyu Zhou

Low-light image enhancement (LLE) remains challenging due to the unfavorable prevailing low-contrast and weak-visibility problems of single RGB images.

Contrastive Learning Low-Light Image Enhancement +1

Dispensed Transformer Network for Unsupervised Domain Adaptation

no code implementations28 Oct 2021 Yunxiang Li, Jingxiong Li, Ruilong Dan, Shuai Wang, Kai Jin, Guodong Zeng, Jun Wang, Xiangji Pan, Qianni Zhang, Huiyu Zhou, Qun Jin, Li Wang, Yaqi Wang

To mitigate this problem, a novel unsupervised domain adaptation (UDA) method named dispensed Transformer network (DTNet) is introduced in this paper.

Unsupervised Domain Adaptation

Structure-aware scale-adaptive networks for cancer segmentation in whole-slide images

1 code implementation26 Sep 2021 Yibao Sun, Giussepi Lopez, Yaqi Wang, Xingru Huang, Huiyu Zhou, Qianni Zhang

Cancer segmentation in whole-slide images is a fundamental step for viable tumour burden estimation, which is of great value for cancer assessment.

Decoder feature selection +2

Secure Control of Networked Control Systems Using Dynamic Watermarking

no code implementations26 Aug 2021 Dajun Du, Changda Zhang, Xue Li, Minrui Fei, Taicheng Yang, Huiyu Zhou

We here investigate secure control of networked control systems developing a new dynamic watermarking (DW) scheme.

Robust Ensembling Network for Unsupervised Domain Adaptation

1 code implementation21 Aug 2021 Han Sun, Lei Lin, Ningzhong Liu, Huiyu Zhou

In this paper, we propose a Robust Ensembling Network (REN) for UDA, which applies a robust time ensembling teacher network to learn global information for domain transfer.

Unsupervised Domain Adaptation

Multi-patch Feature Pyramid Network for Weakly Supervised Object Detection in Optical Remote Sensing Images

no code implementations18 Aug 2021 Pourya Shamsolmoali, Jocelyn Chanussot, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

Second, most of the standard methods used hand-crafted features, and do not work well on the detection of objects parts of which are missing.

Object object-detection +1

MPI: Multi-receptive and Parallel Integration for Salient Object Detection

1 code implementation8 Aug 2021 Han Sun, Jun Cen, Ningzhong Liu, Dong Liang, Huiyu Zhou

The semantic representation of deep features is essential for image context understanding, and effective fusion of features with different semantic representations can significantly improve the model's performance on salient object detection.

Object object-detection +2

Adaptive Affinity Loss and Erroneous Pseudo-Label Refinement for Weakly Supervised Semantic Segmentation

no code implementations3 Aug 2021 Xiangrong Zhang, Zelin Peng, Peng Zhu, Tianyang Zhang, Chen Li, Huiyu Zhou, Licheng Jiao

Semantic segmentation has been continuously investigated in the last ten years, and majority of the established technologies are based on supervised models.

Pseudo Label Segmentation +2

Semantic Attention and Scale Complementary Network for Instance Segmentation in Remote Sensing Images

no code implementations25 Jul 2021 Tianyang Zhang, Xiangrong Zhang, Peng Zhu, Xu Tang, Chen Li, Licheng Jiao, Huiyu Zhou

To address the above problems, we propose an end-to-end multi-category instance segmentation model, namely Semantic Attention and Scale Complementary Network, which mainly consists of a Semantic Attention (SEA) module and a Scale Complementary Mask Branch (SCMB).

Instance Segmentation Segmentation +1

Incorporating Lambertian Priors into Surface Normals Measurement

no code implementations15 Jul 2021 Yakun Ju, Muwei Jian, Shaoxiang Guo, YingYu Wang, Huiyu Zhou, Junyu Dong

In order to address this challenge, we here propose a photometric stereo network that incorporates Lambertian priors to better measure the surface normal.

Magnification-independent Histopathological Image Classification with Similarity-based Multi-scale Embeddings

1 code implementation2 Jul 2021 Yibao Sun, Xingru Huang, Yaqi Wang, Huiyu Zhou, Qianni Zhang

Experimental results show that the SMSE improves the performance for histopathological image classification tasks for both breast and liver cancers by a large margin compared to previous methods.

Histopathological Image Classification Image Classification

SRPN: similarity-based region proposal networks for nuclei and cells detection in histology images

1 code implementation25 Jun 2021 Yibao Sun, Xingru Huang, Huiyu Zhou, Qianni Zhang

The embedding layer is added into the region proposal networks, enabling the networks to learn discriminative features based on similarity learning.

Cell Detection Dense Object Detection +2

Wallpaper Texture Generation and Style Transfer Based on Multi-label Semantics

no code implementations22 Jun 2021 Ying Gao, Xiaohan Feng, Tiange Zhang, Eric Rigall, Huiyu Zhou, Lin Qi, Junyu Dong

Textures contain a wealth of image information and are widely used in various fields such as computer graphics and computer vision.

Attribute Style Transfer +1

Learning the Precise Feature for Cluster Assignment

1 code implementation11 Jun 2021 Yanhai Gan, Xinghui Dong, Huiyu Zhou, Feng Gao, Junyu Dong

Based on this, we propose a general-purpose deep clustering framework which radically integrates representation learning and clustering into a single pipeline for the first time.

Clustering Deep Clustering +4

Rotation Equivariant Feature Image Pyramid Network for Object Detection in Optical Remote Sensing Imagery

no code implementations2 Jun 2021 Pourya Shamsolmoali, Masoumeh Zareapoor, Jocelyn Chanussot, Huiyu Zhou, Jie Yang

The proposed model adopts single-shot detector in parallel with a lightweight image pyramid module to extract representative features and generate regions of interest in an optimization approach.

Object object-detection +1

Gaussian Dynamic Convolution for Efficient Single-Image Segmentation

no code implementations18 Apr 2021 Xin Sun, Changrui Chen, Xiaorui Wang, Junyu Dong, Huiyu Zhou, Sheng Chen

Furthermore, we also build a Gaussian dynamic pyramid Pooling to show its potential and generality in common semantic segmentation.

Image Segmentation Segmentation +1

Learning Polar Encodings for Arbitrary-Oriented Ship Detection in SAR Images

no code implementations24 Mar 2021 Yishan He, Fei Gao, Jun Wang, Amir Hussain, Erfu Yang, Huiyu Zhou

In this paper, in order to solve the boundary discontinuity problem in OBB regression, we propose to detect SAR ships by learning polar encodings.

regression SAR Ship Detection

Continuous Prediction of Lower-Limb Kinematics From Multi-Modal Biomedical Signals

no code implementations22 Mar 2021 Chunzhi Yi, Feng Jiang, Shengping Zhang, Hao Guo, Chifu Yang, Zhen Ding, Baichun Wei, Xiangyuan Lan, Huiyu Zhou

Challenges of exoskeletons motor intent decoding schemes remain in making a continuous prediction to compensate for the hysteretic response caused by mechanical transmission.

Learning Calibrated-Guidance for Object Detection in Aerial Images

1 code implementation21 Mar 2021 Zongqi Wei, Dong Liang, Dong Zhang, Liyan Zhang, Qixiang Geng, Mingqiang Wei, Huiyu Zhou

Specifically, for a given set of feature maps, CG first computes the feature similarity between each channel and the remaining channels as the intermediary calibration guidance.

Object object-detection +2

Feature Analyses and Modelling of Lithium-ion Batteries Manufacturing based on Random Forest Classification

no code implementations10 Feb 2021 Kailong Liu, Xiaosong Hu, Huiyu Zhou, Lei Tong, W. Dhammika Widanage, James Marco

Lithium-ion battery manufacturing is a highly complicated process with strongly coupled feature interdependencies, a feasible solution that can analyse feature variables within manufacturing chain and achieve reliable classification is thus urgently needed.

Classification Feature Importance +1

Towards advancing the earthquake forecasting by machine learning of satellite data

no code implementations31 Jan 2021 Pan Xiong, Lei Tong, Kun Zhang, Xuhui Shen, Roberto Battiston, Dimitar Ouzounov, Roberto Iuppa, Danny Crookes, Cheng Long, Huiyu Zhou

Amongst the available technologies for earthquake research, remote sensing has been commonly used due to its unique features such as fast imaging and wide image-acquisition range.

BIG-bench Machine Learning

Synthetic Generation of Three-Dimensional Cancer Cell Models from Histopathological Images

no code implementations26 Jan 2021 Yoav Alon, Xiang Yu, Huiyu Zhou

Synthetic generation of three-dimensional cell models from histopathological images aims to enhance understanding of cell mutation, and progression of cancer, necessary for clinical assessment and optimal treatment.

Decoder Image Registration +1

Class balanced underwater object detection dataset generated by class-wise style augmentation

no code implementations20 Jan 2021 Long Chen, Junyu Dong, Huiyu Zhou

CWSA is a new kind of data augmentation technique which augments the training data for the minority classes by generating various colors, textures and contrasts for the minority classes.

Data Augmentation object-detection +1

Multimodal Gait Recognition for Neurodegenerative Diseases

1 code implementation7 Jan 2021 Aite Zhao, Jianbo Li, Junyu Dong, Lin Qi, Qianni Zhang, Ning li, Xin Wang, Huiyu Zhou

In recent years, single modality based gait recognition has been extensively explored in the analysis of medical images or other sensory data, and it is recognised that each of the established approaches has different strengths and weaknesses.

Gait Recognition

Multi-Agent Reinforcement Learning for Unmanned Aerial Vehicle Coordination by Multi-Critic Policy Gradient Optimization

1 code implementation31 Dec 2020 Yoav Alon, Huiyu Zhou

Recent technological progress in the development of Unmanned Aerial Vehicles (UAVs) together with decreasing acquisition costs make the application of drone fleets attractive for a wide variety of tasks.

Collision Avoidance Management +3

Image Synthesis with Adversarial Networks: a Comprehensive Survey and Case Studies

1 code implementation26 Dec 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger, Huiyu Zhou, Ruili Wang, M. Emre Celebi, Jie Yang

However, there is a lack of comprehensive review in this field, especially lack of a collection of GANs loss-variant, evaluation metrics, remedies for diverse image generation, and stable training.

Image-to-Image Translation Translation

Distributed Fusion Estimation for Stochastic Uncertain Systems with Network-Induced Complexity and Multiple Noise

no code implementations24 Dec 2020 Li Liu, Wenju Zhou, Minrui Fei, Zhile Yang, Hongyong Yang, Huiyu Zhou

This paper investigates an issue of distributed fusion estimation under network-induced complexity and stochastic parameter uncertainties.

Structured Context Enhancement Network for Mouse Pose Estimation

1 code implementation1 Dec 2020 Feixiang Zhou, Zheheng Jiang, Zhihua Liu, Fang Chen, Long Chen, Lei Tong, Zhile Yang, Haikuan Wang, Minrui Fei, Ling Li, Huiyu Zhou

However, quantifying mouse behaviours from videos or images remains a challenging problem, where pose estimation plays an important role in describing mouse behaviours.

Animal Pose Estimation

Muti-view Mouse Social Behaviour Recognition with Deep Graphical Model

1 code implementation4 Nov 2020 Zheheng Jiang, Feixiang Zhou, Aite Zhao, Xin Li, Ling Li, DaCheng Tao, Xuelong Li, Huiyu Zhou

To address this problem, we here propose a novel multiview latent-attention and dynamic discriminative model that jointly learns view-specific and view-shared sub-structures, where the former captures unique dynamics of each view whilst the latter encodes the interaction between the views.

SWIPENET: Object detection in noisy underwater images

no code implementations19 Oct 2020 Long Chen, Feixiang Zhou, Shengke Wang, Junyu Dong, Ning li, Haiping Ma, Xin Wang, Huiyu Zhou

Moreover, inspired by the human education process that drives the learning from easy to hard concepts, we here propose the CMA training paradigm that first trains a clean detector which is free from the influence of noisy data.

Object object-detection +1

Perceptual underwater image enhancement with deep learning and physical priors

no code implementations21 Aug 2020 Long Chen, Zheheng Jiang, Lei Tong, Zhihua Liu, Aite Zhao, Qianni Zhang, Junyu Dong, Huiyu Zhou

Underwater image enhancement, as a pre-processing step to improve the accuracy of the following object detection task, has drawn considerable attention in the field of underwater navigation and ocean exploration.

Image Enhancement Image Generation +2

Road Segmentation for Remote Sensing Images using Adversarial Spatial Pyramid Networks

1 code implementation10 Aug 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Ruili Wang, Jie Yang

We also propose a feature pyramid network that improves the performance of the proposed model by extracting effective features from all the layers of the network for describing different scales objects.

Domain Adaptation Image Generation +1

CANet: Context Aware Network for 3D Brain Glioma Segmentation

1 code implementation15 Jul 2020 Zhihua Liu, Lei Tong, Long Chen, Feixiang Zhou, Zheheng Jiang, Qianni Zhang, Yinhai Wang, Caifeng Shan, Ling Li, Huiyu Zhou

Automated segmentation of brain glioma plays an active role in diagnosis decision, progression monitoring and surgery planning.

Brain Tumor Segmentation Segmentation +1

A Benchmark dataset for both underwater image enhancement and underwater object detection

no code implementations29 Jun 2020 Long Chen, Lei Tong, Feixiang Zhou, Zheheng Jiang, Zhenyang Li, Jialin Lv, Junyu Dong, Huiyu Zhou

To investigate how the underwater image enhancement methods influence the following underwater object detection tasks, in this paper, we provide a large-scale underwater object detection dataset with both bounding box annotations and high quality reference images, namely OUC dataset.

Image Enhancement Image Quality Assessment +3

Low-light Image Enhancement Using the Cell Vibration Model

1 code implementation3 Jun 2020 Xiaozhou Lei, Zixiang Fei, Wenju Zhou, Huiyu Zhou, Minrui Fei

Then, based on the unique mathematical properties of the energy model and combined with the gamma correction model, a new global lightness enhancement model is proposed.

Low-Light Image Enhancement

Underwater object detection using Invert Multi-Class Adaboost with deep learning

no code implementations23 May 2020 Long Chen, Zhihua Liu, Lei Tong, Zheheng Jiang, Shengke Wang, Junyu Dong, Huiyu Zhou

In addition, we propose a novel sample-weighted loss function which can model sample weights for SWIPENet, which uses a novel sample re-weighting algorithm, namely Invert Multi-Class Adaboost (IMA), to reduce the influence of noise on the proposed SWIPENet.

Object object-detection +1

AMIL: Adversarial Multi Instance Learning for Human Pose Estimation

1 code implementation18 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Huiyu Zhou, Jie Yang

The proposed adversarial residual multi-instance neural network that is based on pooling has been validated on two datasets for the human pose estimation task and successfully outperforms the other state-of-arts models.

Multiple Instance Learning Pose Estimation +2

A novel Deep Structure U-Net for Sea-Land Segmentation in Remote Sensing Images

no code implementations17 Mar 2020 Pourya Shamsolmoali, Masoumeh Zareapoor, Ruili Wang, Huiyu Zhou, Jie Yang

This paper presents a novel deep neural network structure for pixel-wise sea-land segmentation, a Residual Dense U-Net (RDU-Net), in complex and high-density remote sensing images.


Multi-Source Transfer Learning for Non-Stationary Environments

1 code implementation7 Jan 2019 Honghui Du, Leandro L. Minku, Huiyu Zhou

To speed up recovery from concept drift and improve predictive performance in data stream mining, this work proposes a novel approach called Multi-sourcE onLine TrAnsfer learning for Non-statIonary Environments (Melanie).

Transfer Learning

Spectral Illumination Correction: Achieving Relative Color Constancy Under the Spectral Domain

1 code implementation 2018 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) 2018 Yunfeng Zhao, Huiyu Zhou, Chris Elliott, Karen Rafferty

Achieving color constancy between and within images, i. e., minimizing the color difference between the same object imaged under nonuniform and varied illuminations is crucial for computer vision tasks such as colorimetric analysis and object recognition.

Camera Calibration Color Constancy +1

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