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ORCIDWeide Liu
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2020 – today
- 2025
[j16]Weide Liu
, Jieming Lou, Xingxing Wang, Wei Zhou, Jun Cheng, Xulei Yang:
Physically-guided open vocabulary segmentation with weighted patched alignment loss. Neurocomputing 614: 128788 (2025)- [j15]Qi Zeng, Weide Liu, Bo Li, Ryne Didier, P. Ellen Grant, Davood Karimi:
Towards automatic US-MR fetal brain image registration with learning-based methods. NeuroImage 310: 121104 (2025) - [i20]Jiebin Yan, Lei Wu, Yuming Fang, Xuelin Liu, Xue Xia, Weide Liu:
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling. CoRR abs/2501.07087 (2025) - [i19]Jiebin Yan, Jiale Rao, Xuelin Liu, Yuming Fang, Yifan Zuo, Weide Liu:
Subjective and Objective Quality Assessment of Non-Uniformly Distorted Omnidirectional Images. CoRR abs/2501.11511 (2025) - [i18]Jiebin Yan, Jiale Rao, Junjie Chen, Ziwen Tan, Weide Liu, Yuming Fang:
Multitask Auxiliary Network for Perceptual Quality Assessment of Non-Uniformly Distorted Omnidirectional Images. CoRR abs/2501.11512 (2025) - 2024
- [j14]Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. Int. J. Comput. Vis. 132(4): 1277-1291 (2024) - [j13]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
LCReg: Long-tailed image classification with Latent Categories based Recognition. Pattern Recognit. 145: 109971 (2024) - [j12]Jiebin Yan, Lei Wu, Yuming Fang, Xuelin Liu, Xue Xia, Weide Liu:
Video Quality Assessment for Online Processing: From Spatial to Temporal Sampling. IEEE Trans. Circuits Syst. Video Technol. 34(12): 13441-13451 (2024) - [j11]Chao Cai, Yuming Fang, Weide Liu, Ruibing Jin, Jun Cheng, Zhenghua Chen:
FedCov: Enhanced Trustworthy Federated Learning for Machine RUL Prediction With Continuous-to-Discrete Conversion. IEEE Trans. Ind. Informatics 20(11): 12565-12574 (2024) - [j10]Chao Cai, Weide Liu, Xue Xia, Zhenghua Chen, Yuming Fang:
Bayesian Uncertainty Calibration for Federated Time Series Analysis. IEEE Trans. Multim. 26: 11151-11163 (2024) - [c10]Yu Wang, Xiaoye Wang, Zaiwang Gu, Weide Liu, Wee Siong Ng, Weimin Huang, Jun Cheng:
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration. AAAI 2024: 292-300 - [c9]Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng:
Learning Intra-View and Cross-View Geometric Knowledge for Stereo Matching. CVPR 2024: 20752-20762 - [c8]Tianrui Liu, Qiyue Wei, Jianguo Chen, Weide Liu, Weimin Huang, Ruchir Srivastava, Zhongyao Cheng, Zeng Zeng, Bharadwaj Veeravalli, Xulei Yang:
Unsupervised 3D Lung Segmentation by Leveraging 2D Segment Anything Model. EMBC 2024: 1-4 - [c7]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:
Hybrid Model Design For Protein Function Prediction. EMBC 2024: 1-4 - [c6]Yufeng Chen, Guanghui Yue, Weide Liu, Chenlei Lv, Ruomei Wang, Fan Zhou, Baoquan Zhao:
Predicting Plain Text Imageability for Faithful Prompt-Conditional Image Generation. PRICAI (3) 2024: 89-95 - [i17]Rui Gong, Weide Liu, Zaiwang Gu, Xulei Yang, Jun Cheng:
Learning Intra-view and Cross-view Geometric Knowledge for Stereo Matching. CoRR abs/2402.19270 (2024) - [i16]Mingda Xu, Peisheng Qian, Ziyuan Zhao, Zeng Zeng, Jianguo Chen, Weide Liu, Xulei Yang:
Graph Neural Networks for Protein-Protein Interactions - A Short Survey. CoRR abs/2404.10450 (2024) - [i15]Weide Liu, Jingwen Hou, Xiaoyang Zhong, Huijing Zhan, Jun Cheng, Yuming Fang, Guanghui Yue:
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency. CoRR abs/2406.10175 (2024) - [i14]Weide Liu, Xingxing Wang, Lu Wang, Jun Cheng, Fayao Liu, Xulei Yang:
Gaussian Mixture based Evidential Learning for Stereo Matching. CoRR abs/2408.02796 (2024) - [i13]Weide Liu, Camilo Calixto, Simon K. Warfield, Davood Karimi:
Streamline tractography of the fetal brain in utero with machine learning. CoRR abs/2408.14326 (2024) - [i12]Yixiao Li, Xiaoyuan Yang, Weide Liu, Xin Jin, Xu Jia, Yu-Kun Lai, Haotao Liu, Paul L. Rosin, Wei Zhou:
TINQ: Temporal Inconsistency Guided Blind Video Quality Assessment. CoRR abs/2412.18933 (2024) - 2023
- [j9]Guanghui Yue, Di Cheng, Tianwei Zhou, Jingwen Hou, Weide Liu, Long Xu, Tianfu Wang, Jun Cheng:
Perceptual Quality Assessment of Enhanced Colonoscopy Images: A Benchmark Dataset and an Objective Method. IEEE Trans. Circuits Syst. Video Technol. 33(10): 5549-5561 (2023) - [j8]Guanghui Yue, Guibin Zhuo, Siying Li, Tianwei Zhou, Jingfeng Du, Weiqing Yan, Jingwen Hou, Weide Liu, Tianfu Wang:
Benchmarking Polyp Segmentation Methods in Narrow-Band Imaging Colonoscopy Images. IEEE J. Biomed. Health Informatics 27(7): 3360-3371 (2023) - [j7]Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin:
Cross-Image Region Mining With Region Prototypical Network for Weakly Supervised Segmentation. IEEE Trans. Multim. 25: 1148-1160 (2023) - [j6]Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin:
Few-Shot Segmentation With Optimal Transport Matching and Message Flow. IEEE Trans. Multim. 25: 5130-5141 (2023) - [j5]Jingwen Hou, Weisi Lin, Guanghui Yue, Weide Liu, Baoquan Zhao:
Interaction-Matrix Based Personalized Image Aesthetics Assessment. IEEE Trans. Multim. 25: 5263-5278 (2023) - [c5]Huijing Zhan, Ling Li, Shaohua Li, Weide Liu, Manas Gupta, Alex C. Kot:
Towards Explainable Recommendation Via Bert-Guided Explanation Generator. ICASSP 2023: 1-5 - [c4]Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng:
ELFNet: Evidential Local-global Fusion for Stereo Matching. ICCV 2023: 17738-17747 - [i11]Weide Liu, Zhonghua Wu, Yang Zhao, Yuming Fang, Chuan-Sheng Foo, Jun Cheng, Guosheng Lin:
Harmonizing Base and Novel Classes: A Class-Contrastive Approach for Generalized Few-Shot Segmentation. CoRR abs/2303.13724 (2023) - [i10]Weide Liu, Xiaoyang Zhong, Jingwen Hou, Shaohua Li, Haozhe Huang, Yuming Fang:
Integrating Large Pre-trained Models into Multimodal Named Entity Recognition with Evidential Fusion. CoRR abs/2306.16991 (2023) - [i9]Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng:
ELFNet: Evidential Local-global Fusion for Stereo Matching. CoRR abs/2308.00728 (2023) - [i8]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
LCReg: Long-Tailed Image Classification with Latent Categories based Recognition. CoRR abs/2309.07186 (2023) - 2022
- [b1]Weide Liu:
Image segmentation with less manual labeling effort. Nanyang Technological University, Singapore, 2022 - [j4]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRCNet: Few-Shot Segmentation with Cross-Reference and Region-Global Conditional Networks. Int. J. Comput. Vis. 130(12): 3140-3157 (2022) - [j3]Jingwen Hou, Henghui Ding, Weisi Lin, Weide Liu, Yuming Fang:
Distilling Knowledge From Object Classification to Aesthetics Assessment. IEEE Trans. Circuits Syst. Video Technol. 32(11): 7386-7402 (2022) - [i7]Jingwen Hou, Henghui Ding, Weisi Lin, Weide Liu, Yuming Fang:
Distilling Knowledge from Object Classification to Aesthetics Assessment. CoRR abs/2206.00809 (2022) - [i6]Weide Liu, Zhonghua Wu, Yiming Wang, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Long-tailed Recognition by Learning from Latent Categories. CoRR abs/2206.01010 (2022) - [i5]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRCNet: Few-shot Segmentation with Cross-Reference and Region-Global Conditional Networks. CoRR abs/2208.10761 (2022) - 2021
- [j2]Weide Liu, Jianliang Huang, Qinghe Yao:
Stability analysis for quaternion-valued inertial memristor-based neural networks with time delays. Neurocomputing 448: 67-81 (2021) - [j1]Weide Liu, Guosheng Lin, Tianyi Zhang, Zichuan Liu:
Guided Co-Segmentation Network for Fast Video Object Segmentation. IEEE Trans. Circuits Syst. Video Technol. 31(4): 1607-1617 (2021) - [i4]Weide Liu, Zhonghua Wu, Henghui Ding, Fayao Liu, Jie Lin, Guosheng Lin:
Few-Shot Segmentation with Global and Local Contrastive Learning. CoRR abs/2108.05293 (2021) - [i3]Weide Liu, Xiangfei Kong, Tzu-Yi Hung, Guosheng Lin:
Cross-Image Region Mining with Region Prototypical Network for Weakly Supervised Segmentation. CoRR abs/2108.07413 (2021) - [i2]Weide Liu, Chi Zhang, Henghui Ding, Tzu-Yi Hung, Guosheng Lin:
Few-shot Segmentation with Optimal Transport Matching and Message Flow. CoRR abs/2108.08518 (2021) - 2020
- [c3]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. CVPR 2020: 4164-4172 - [c2]Tianyi Zhang, Guosheng Lin, Weide Liu, Jianfei Cai, Alex C. Kot:
Splitting Vs. Merging: Mining Object Regions with Discrepancy and Intersection Loss for Weakly Supervised Semantic Segmentation. ECCV (22) 2020: 663-679 - [c1]Weide Liu, Chi Zhang, Guosheng Lin, Tzu-Yi Hung, Chunyan Miao:
Weakly Supervised Segmentation with Maximum Bipartite Graph Matching. ACM Multimedia 2020: 2085-2094 - [i1]Weide Liu, Chi Zhang, Guosheng Lin, Fayao Liu:
CRNet: Cross-Reference Networks for Few-Shot Segmentation. CoRR abs/2003.10658 (2020)
Coauthor Index
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