Liangchen Liu

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 50

Top Topics

Pose Estimation

Question Answering

Clustering Framework

Top Venues

IEEE Trans. Image Process.

Publications

Juncai He, Liangchen Liu, Yen-Hsi Richard Tsai
Data-induced multiscale losses and efficient multirate gradient descent schemes. CoRR (2024)
Xinyue Hu, Lin Gu, Kazuma Kobayashi, Liangchen Liu, Mengliang Zhang, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Interpretable medical image Visual Question Answering via multi-modal relationship graph learning. Medical Image Anal. 97 (2024)
Zheng Zhang, Liangchen Liu, Xunyi Zhao, Lijun Zhang, Jun Wu, Yan Zhang, Zhenghao Li
DSSO-YOLO: A fast detection model for densely stacked small object. Displays 82 (2024)
Mengliang Zhang, Xinyue Hu, Lin Gu, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Uncertainty and Severity Aware Chest X-Ray Classification by Multi-Relationship Graph Learning. CoRR (2023)
Liangchen Liu, Benjamin Hou, Manas Kumar Nag, Jianfei Liu, Navid Hasani, Thomas C. Shen, Yingying Zhu, Babak Saboury, Jing Xiao, Ronald M. Summers
Improving Automatic Segmentation of lymphoma with Additional Medical Knowledge Priors. ISBI (2023)
Xixiang Lin, Zhenghao Li, Liangchen Liu, Jun Wu, Lijun Zhang, Xiang-Dong Zhou
Irecut+MM: Data Generalization and Metric Improvement for Few-shot Learning. ICME (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. KDD (2023)
Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
Precondition and effect reasoning for action recognition. Comput. Vis. Image Underst. 232 (2023)
Liangchen Liu, Juncai He, Yen-Hsi Tsai
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. TAG-ML (2023)
Min Peng, Liangchen Liu, Zhenghao Li, Yu Shi, Xiangdong Zhou
Multi-Semantic Alignment Co-Reasoning Network for Video Question Answering. ICIP (2023)
Liangchen Liu, Xi Yang, Nannan Wang, Xinbo Gao
Frequency Information Disentanglement Network for Video-Based Person Re-Identification. IEEE Trans. Image Process. 32 (2023)
Liangchen Liu, Juncai He, Richard Tsai
Linear Regression on Manifold Structured Data: the Impact of Extrinsic Geometry on Solutions. CoRR (2023)
Meng Li, Chaoyi Li, Can Peng, Liangchen Liu, Brian C. Lovell
End to End Generative Meta Curriculum Learning for Medical Data Augmentation. ICIP (2023)
Xinyue Hu, Lin Gu, Qiyuan An, Mengliang Zhang, Liangchen Liu, Kazuma Kobayashi, Tatsuya Harada, Ronald M. Summers, Yingying Zhu
Expert Knowledge-Aware Image Difference Graph Representation Learning for Difference-Aware Medical Visual Question Answering. CoRR (2023)
Andrew M. Nguyen, Tejas Sudharshan Mathai, Liangchen Liu, Jianfei Liu, Ronald M. Summers
Automated Measurement of Pericoronary Adipose Tissue Attenuation and Volume in CT Angiography. CoRR (2023)
Manas Kumar Nag, Jianfei Liu, Seung Yeon Shin, Benjamin Hou, Liangchen Liu, Perry J. Pickhardt, Jung-Min Lee, Ronald M. Summers
Improved ascites segmentation with bladder identification using anatomical location residual U-Net. Medical Imaging: Computer-Aided Diagnosis (2023)
Lijun Zhang, Kangkang Zhou, Liangchen Liu, Zhenghao Li, Xunyi Zhao, Xiang-Dong Zhou, Yu Shi
Progressive Multi-View Fusion for 3D Human Pose Estimation. ICIP (2023)
Yuanbo Lin Wu, Deyin Liu, Xiaojie Guo, Richang Hong, Liangchen Liu, Rui Zhang
Multi-scale Spatial Representation Learning via Recursive Hermite Polynomial Networks. IJCAI (2022)
Xinyue Hu, Lin Gu, Liangchen Liu, Ruijiang Li, Chang Su, Tatsuya Harada, Yingying Zhu
Memory Efficient Temporal & Visual Graph Model for Unsupervised Video Domain Adaptation. CoRR (2022)
Hui Xu, Xiang-Dong Zhou, Zhenghao Li, Liangchen Liu, Chaojie Li, Yu Shi
EILPR: Toward End-to-End Irregular License Plate Recognition Based on Automatic Perspective Alignment. IEEE Trans. Intell. Transp. Syst. 23 (3) (2022)
Shengzhe Zhao, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
Action-ViT: Pedestrian Intent Prediction in Traffic Scenes. IEEE Signal Process. Lett. 29 (2022)
Liangchen Liu, Jianfei Liu, Manas Kumar Nag, Navid Hasani, Seung Yeon Shin, Sriram S. Paravastu, Babak Saboury, Jing Xiao, Lingyun Huang, Ronald M. Summers
Improved Multi-modal Patch Based Lymphoma Segmentation with Negative Sample Augmentation and Label Guidance on PET/CT Scans. MMMI@MICCAI (2022)
Hanhan Ye, Hailiang Shi, Chao Li, Xianhua Wang, Wei Xiong, Yuan An, Yue Wang, Liangchen Liu
A Coupled BRDF CO2 Retrieval Method for the GF-5 GMI and Improvements in the Correction of Atmospheric Scattering. Remote. Sens. 14 (3) (2022)
Liangchen Liu, Qiuhong Ke, Chaojie Li, Feiping Nie, Yingying Zhu
Unified Multi-View Orthonormal Non-Negative Graph Based Clustering Framework. CoRR (2022)
Xi Yang, Liangchen Liu, Nannan Wang, Xinbo Gao
A Two-Stream Dynamic Pyramid Representation Model for Video-Based Person Re-Identification. IEEE Trans. Image Process. 30 (2021)
Lei Zhu, Chengyuan Zhang, Jiayu Song, Liangchen Liu, Shichao Zhang, Yangding Li
Multi-Graph Based Hierarchical Semantic Fusion for Cross-Modal Representation. ICME (2021)
Liangchen Liu, Xi Yang, Nannan Wang, Xinbo Gao
Viewing from Frequency Domain: A DCT-based Information Enhancement Network for Video Person Re-Identification. ACM Multimedia (2021)
Hongsang Yoo, Haopeng Li, Qiuhong Ke, Liangchen Liu, Rui Zhang
Precondition and Effect Reasoning for Action Recognition. CoRR (2021)
Deyin Liu, Yuanbo Lin Wu, Liangchen Liu, Qichang Hu, Lin Qi
Auto-Encoder based Structured Dictinoary Learning. MMSP (2020)
Deyin Liu, Liangchen Liu, Yun Tie, Lin Qi
Multi-task image set classification via joint representation with class-level sparsity and intra-task low-rankness. Pattern Recognit. Lett. 132 (2020)
Teng Zhang, Liangchen Liu, Kun Zhao, Arnold Wiliem, Graham Hemson, Brian C. Lovell
Omni-supervised joint detection and pose estimation for wild animals. Pattern Recognit. Lett. 132 (2020)
Mingyang Zhong, Chaojie Li, Liangchen Liu, Jiahui Wen, Jingwei Ma, Xinghuo Yu
Fuzzy Neighborhood Learning for Deep 3-D Segmentation of Point Cloud. IEEE Trans. Fuzzy Syst. 28 (12) (2020)
Mingyang Zhong, Chaojie Li, Jiahui Wen, Liangchen Liu, Jingwei Ma, Guangda Zhang, Yin Yang
HIGnet: Hierarchical and Interactive Gate Networks for Item Recommendation. IEEE Intell. Syst. 35 (5) (2020)
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
Deep Inspection: An Electrical Distribution Pole Parts Study VIA Deep Neural Networks. ICIP (2019)
Tianren Wang, Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell
Cannygan: Edge-Preserving Image Translation with Disentangled Features. ICIP (2019)
Teng Zhang, Liangchen Liu, Arnold Wiliem, Stephen Connor, Zelkjo Ilich, Eddie Van Der Draai, Brian C. Lovell
Deep Corrosion Assessment for Electrical Transmission Towers. DICTA (2019)
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CoRR (2019)
Liangchen Liu, Louis Ly, Colin B. Macdonald, Yen-Hsi Richard Tsai
Nearest Neighbor Sampling of Point Sets using Random Rays. CoRR (2019)
Jingwei Ma, Jiahui Wen, Mingyang Zhong, Liangchen Liu, Chaojie Li, Weitong Chen, Yin Yang, Hongkui Tu, Xue Li
DBRec: Dual-Bridging Recommendation via Discovering Latent Groups. CIKM (2019)
Liangchen Liu, Teng Zhang, Kun Zhao, Arnold Wiliem, Kieren Astin-Walmsley, Brian C. Lovell
Deep inspection: an electrical distribution pole parts study via deep neural networks. CoRR (2019)
Liangchen Liu, Feiping Nie, Arnold Wiliem, Zhihui Li, Teng Zhang, Brian C. Lovell
Multi-Modal Joint Clustering With Application for Unsupervised Attribute Discovery. IEEE Trans. Image Process. 27 (9) (2018)
Chaojie Li, Chen Liu, Xinghuo Yu, Ke Deng, Tingwen Huang, Liangchen Liu
Integrating Demand Response and Renewable Energy In Wholesale Market. IJCAI (2018)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
What is the best way for extracting meaningful attributes from pictures? Pattern Recognit. 64 (2017)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
Determining the best attributes for surveillance video keywords generation. CoRR (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
What is the Best Way for Extracting Meaningful Attributes from Pictures? CoRR (2016)
Teng Zhang, Liangchen Liu, Arnold Wiliem, Brian C. Lovell
Is alice chasing or being chased?: Determining subject and object of activities in videos. WACV (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Automatic and Quantitative evaluation of attribute discovery methods. CoRR (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Automatic and quantitative evaluation of attribute discovery methods. WACV (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Kun Zhao, Brian C. Lovell
Determining the best attributes for surveillance video keywords generation. ISBA (2016)
Liangchen Liu, Feiping Nie, Teng Zhang, Arnold Wiliem, Brian C. Lovell
Unsupervised automatic attribute discovery method via multi-graph clustering. ICPR (2016)
Liangchen Liu, Arnold Wiliem, Shaokang Chen, Brian C. Lovell
Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories. ICPR (2014)