Weide Liu

According to our database, Weide Liu authored at least 53 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Modality-Aware Feature Matching: A Comprehensive Review of Single- and Cross-Modality Techniques.

Weide Liu, Wei Zhou, Jun Liu, Ping Hu, Jun Cheng, Jungong Han, Weisi Lin

CoRR, July, 2025

Viewport-Unaware Blind Omnidirectional Image Quality Assessment: A Flexible and Effective Paradigm.

Jiebin Yan, Kangcheng Wu, Junjie Chen, Ziwen Tan, Yuming Fang, Weide Liu

ACM Trans. Multim. Comput. Commun. Appl., May, 2025

Adaptive Cross-Feature Fusion Network With Inconsistency Guidance for Multi-Modal Brain Tumor Segmentation.

Guanghui Yue, Guibin Zhuo, Tianwei Zhou, Weide Liu, Tianfu Wang, Qiuping Jiang

IEEE J. Biomed. Health Informatics, May, 2025

Pyramid Network With Quality-Aware Contrastive Loss for Retinal Image Quality Assessment.

Guanghui Yue, Shaoping Zhang, Tianwei Zhou, Bin Jiang, Weide Liu, Tianfu Wang

IEEE Trans. Medical Imaging, March, 2025

Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images.

Jiebin Yan, Jiale Rao, Junjie Chen, Ziwen Tan, Weide Liu, Yuming Fang

IEEE Trans. Circuits Syst. Video Technol., March, 2025

Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images.

Jiebin Yan, Jiale Rao, Junjie Chen, Ziwen Tan, Weide Liu, Yuming Fang

CoRR, January, 2025

Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images.

Jiebin Yan, Jiale Rao, Xuelin Liu, Yuming Fang, Yifan Zuo, Weide Liu

IEEE Trans. Multim., 2025

Diffusion-Based Facial Aesthetics Enhancement With 3D Structure Guidance.

Lisha Li, Jingwen Hou, Weide Liu, Yuming Fang, Jiebin Yan

IEEE Trans. Image Process., 2025

Toward Transparent Deep Image Aesthetics Assessment With Tag-Based Content Descriptors.

Jingwen Hou, Weisi Lin, Yuming Fang, Haoning Wu, Chaofeng Chen, Liang Liao, Weide Liu

IEEE Trans. Image Process., 2025

Towards automatic US-MR fetal brain image registration with learning-based methods.

Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi

NeuroImage, 2025

Multimodal multitask similarity learning for vision language model on radiological images and reports.

Yang Yu, Jiahao Wang, Weide Liu, Ivan Ho Mien, Pavitra Krishnaswamy, Xulei Yang, Jun Cheng

Neurocomputing, 2025

Integrating large foundation models into multimodal named entity recognition with evidential fusion.

Weide Liu, Xiaoyang Zhong, Jingwen Hou, Shaohua Li, Haozhe Huang, Wei Zhou, Yuming Fang

Neurocomputing, 2025

Physically-guided open vocabulary segmentation with weighted patched alignment loss.

Weide Liu, Jieming Lou, Xingxing Wang, Wei Zhou, Jun Cheng, Xulei Yang

Neurocomputing, 2025

Improving multi-modal brain tumor segmentation via pre-training and knowledge distillation based post-training.

Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue

Neurocomputing, 2025

Uncertainty Aware Interest Point Detection and Description.

Jingbo Zeng, Zaiwang Gu, Weide Liu, Lile Cai, Jun Cheng

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Attribute-formed Class-specific Concept Space: Endowing Language Bottleneck Model with Better Interpretability and Scalability.

Jianyang Zhang, Qianli Luo, Guowu Yang, Wenjing Yang, Weide Liu, Guosheng Lin, Fengmao Lv

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

Rectification-specific Supervision and Constrained Estimator for Online Stereo Rectification.

Rui Gong, Kim-Hui Yap, Weide Liu, Xulei Yang, Jun Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2025

2024

Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling.

Jiebin Yan, Lei Wu, Yuming Fang, Xuelin Liu, Xue Xia, Weide Liu

IEEE Trans. Circuits Syst. Video Technol., December, 2024

Holistic and Contextual Evidential Stereo-LiDAR Fusion for Depth Estimation.

Jiayuan Fan, Haixiang Chen, Weide Liu, Xun Xu, Jun Cheng

IEEE Trans. Intell. Veh., November, 2024

FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion.

Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen

IEEE Trans. Ind. Informatics, November, 2024

Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation.

Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin

Int. J. Comput. Vis., April, 2024

LCReg: Long-tailed image classification with Latent Categories based Recognition.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

Pattern Recognit., January, 2024

Bayesian Uncertainty Calibration for Federated Time Series Analysis.

Chao Cai, Weide Liu, Xue Xia, Zhenghua Chen, Yuming Fang

IEEE Trans. Multim., 2024

When low-vision task meets dense prediction tasks with less data: an auxiliary self-trained geometry regularization.

Zaiwang Gu, Weide Liu, Xulei Yang, Chuan-Sheng Foo, Jun Cheng

Trans. Mach. Learn. Res., 2024

TINQ: Temporal Inconsistency Guided Blind Video Quality Assessment.

Yixiao Li, Xiaoyuan Yang, Weide Liu, Xin Jin, Xu Jia, Yu-Kun Lai, Haotao Liu, Paul L. Rosin, Wei Zhou

CoRR, 2024

Streamline tractography of the fetal brain in utero with machine learning.

Weide Liu, Camilo Calixto, Simon K. Warfield, Davood Karimi

CoRR, 2024

Gaussian Mixture based Evidential Learning for Stereo Matching.

Weide Liu, Xingxing Wang, Lu Wang, Jun Cheng, Fayao Liu, Xulei Yang

CoRR, 2024

Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency.

Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue

CoRR, 2024

Graph Neural Networks for Protein-Protein Interactions - A Short Survey.

Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang

CoRR, 2024

Predicting Plain Text Imageability for Faithful Prompt-Conditional Image Generation.

Yufeng Chen, Guanghui Yue, Weide Liu, Chenlei Lv, Ruomei Wang, Fan Zhou, Baoquan Zhao

Proceedings of the PRICAI 2024: Trends in Artificial Intelligence, 2024

Clip-Medfake: Synthetic Data Augmentation With AI-Generated Content for Improved Medical Image Classification.

Honghui Chen, Baoquan Zhao, Guanghui Yue, Weide Liu, Chenlei Lv, Ruomei Wang, Fan Zhou

Proceedings of the IEEE International Conference on Image Processing, 2024

Hybrid Model Design For Protein Function Prediction.

Shenghao Zhao, Xiaoyu Zhang, Ziyuan Zhao, Peisheng Qian, Weide Liu, Zeng Zeng, Bharadwaj Veeravalli, Lingyun Dai, Pär Nordlund, Nayana Prabhu, Tam Wai Leong, Xulei Yang

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model.

Tianrui Liu, Qiyue Wei, Jianguo Chen, Weide Liu, Weimin Huang, Ruchir Srivastava, Zhongyao Cheng, Zeng Zeng, Bharadwaj Veeravalli, Xulei Yang

Proceedings of the 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2024

Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching.

Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

SuperJunction: Learning-Based Junction Detection for Retinal Image Registration.

Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method.

Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng

IEEE Trans. Circuits Syst. Video Technol., October, 2023

Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images.

Guanghui Yue, Guibin Zhuo, Siying Li, Tianwei Zhou, Jingfeng Du, Weiqing Yan, Jingwen Hou, Weide Liu, Tianfu Wang

IEEE J. Biomed. Health Informatics, July, 2023

Few-Shot Segmentation With Optimal Transport Matching and Message Flow.

Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin

IEEE Trans. Multim., 2023

Cross-Image Region Mining With Region Prototypical Network for Weakly Supervised Segmentation.

Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin

IEEE Trans. Multim., 2023

Interaction-Matrix Based Personalized Image Aesthetics Assessment.

Jingwen Hou, Weisi Lin, Guanghui Yue, Weide Liu, Baoquan Zhao

IEEE Trans. Multim., 2023

Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion.

Weide Liu, Xiaoyang Zhong, Jingwen Hou, Shaohua Li, Haozhe Huang, Yuming Fang

CoRR, 2023

ELFNet: Evidential Local-global Fusion for Stereo Matching.

Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Explainable Recommendation Via Bert-Guided Explanation Generator.

Huijing Zhan, Ling Li, Shaohua Li, Weide Liu, Manas Gupta, Alex C. Kot

Proceedings of the IEEE International Conference on Acoustics, 2023

2022

Image segmentation with less manual labeling effort

Weide Liu

PhD thesis, 2022

Distilling Knowledge From Object Classification to Aesthetics Assessment.

Jingwen Hou, Henghui Ding, Weisi Lin, Weide Liu, Yuming Fang

IEEE Trans. Circuits Syst. Video Technol., 2022

CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks.

Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu

Int. J. Comput. Vis., 2022

Long-tailed Recognition by Learning from Latent Categories.

Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2022

2021

Guided Co-Segmentation Network for Fast Video Object Segmentation.

Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu

IEEE Trans. Circuits Syst. Video Technol., 2021

Stability analysis for quaternion-valued inertial memristor-based neural networks with time delays.

Weide Liu, Jianliang Huang, Qinghe Yao

Neurocomputing, 2021

Few-Shot Segmentation with Global and Local Contrastive Learning.

Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin

CoRR, 2021

2020

Weakly Supervised Segmentation with Maximum Bipartite Graph Matching.

Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi Hung, Chunyan Miao

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation.

Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex C. Kot

Proceedings of the Computer Vision - ECCV 2020, 2020

CRNet: Cross-Reference Networks for Few-Shot Segmentation.

Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020