Publications

• Shuang Liang*, Zhiqi Yan, Chi Xie, Hongming Zhu, Jiewen Wang, “Scribble-based complementary graph reasoning network for weakly supervised salient object detection”, Computer Vision and Image Understanding (CVIU), 2024. (CCF-B) (paper) (code)
• Shuang Liang*, Weidong Dai, Yiyang Cai, Chi Xie, “Sketch-based 3D shape retrieval via teacher-student learning”, Computer Vision and Image Understanding (CVIU), 2024. (CCF-B) (paper) (code)
• Shuang Liang*, Jiaming Lu, Yiyang Cai, “Label Correction for Sketch-Based 3D Shape Retrieval”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2024), 2024. (CCF-B) (paper)
• Shuang Liang*, Wentao Ma, Chi Xie, “Relation with Free Objects for Action Recognition”, ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2024. (CCF-B) (paper)
• Deze Zhao, Shengjie Zhao*, Shuang Liang*, “SVFNeXt: Sparse Voxel Fusion for LiDAR-Based 3D Object Detection”, Pacific Rim International Conference on Artificial Intelligence (PRCAI 2023), 2023. (CCF-C) (paper)
• Chi Xie, Zhao Zhang, Yixuan Wu, Feng Zhu, Rui Zhao, Shuang Liang*, “Described Object Detection: Liberating Object Detection with Flexible Expressions”, Advances in Neural Information Processing Systems (NeurIPS 2023), 2023. (CCF-A) (paper) (code)
• Zikun Zhuang, Ruihao Qian, Chi Xie, Shuang Liang*, “Compositional Learning in Transformer-Based Human-Object Interaction Detection”, International Conference on Multimedia and Expo (ICME 2023), 2023. (CCF-B) (paper) (code)
• Yiyang Cai, Jiaming Lu, Jiewen Wang, Shuang Liang*, “Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval”, International Conference on Multimedia and Expo (ICME 2023), 2023. (CCF-B) (paper) (code)
• Zhiqi Yan, Shuang Liang*, “BENet: Boundary Enhance Network for Salient Object Detection”, International Conference on Multimedia Modeling (MMM 2023), 2023. (CCF-C) (paper) (code)
• Chi Xie, Fangao Zeng, Yue Hu, Shuang Liang*, Yichen Wei, “Category query learning for human-object interaction classification”, Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), 2023. (CCF-A) (paper) (code)
• Shuang Liang*, Jiewen Wang, Zikun Zhuang, “Patch excitation network for boxless action recognition in still images”, The Visual Computer, 2023. (CCF-C) (paper)
• Chi Xie, Zikun Zhuang, Shengjie Zhao, Shuang Liang*, “Temporal dropout for weakly supervised action localization”, ACM Transactions on Multimedia Computing, Communications and Applications (ACM TOMM), 2023. (CCF-B) (paper)
• Ruihao Qian, Jiewen Wang, Jianxiu Wang, Shuang Liang*, “Structural attention for channel-wise adaptive graph convolution in skeleton-based action recognition”, IEEE International Conference on Multimedia and Expo (ICME 2022), 2022. (CCF-B) (paper)
• Shuang Liang*, Gang Chu, Chi Xie, Jiewen Wang, “Joint relation based human pose estimation”, The Visual Computer, 2022. (CCF-C) (paper)
• Jiewen Wang, Shuang Liang*, “Pose-enhanced relation feature for action recognition in still images”, International Conference on Multimedia Modeling (MMM 2022), 2022. (CCF-C) (paper)
• Shuang Liang*, Weidong Dai, Yichen Wei, “Uncertainty learning for noise resistant sketch-based 3d shape retrieval”, IEEE Transactions on Image Processing (TIP), 2021. (CCF-A) (paper)
• Han Yao, Sev-Jue Zhao, Chi Xie, Kenan Ye, Shuang Liang*, “Recurrent graph convolutional autoencoder for unsupervised skeleton-based action recognition”, IEEE International Conference on Multimedia and Expo (ICME 2021), 2021. (CCF-B) (paper)
• Gang Chu, Chi Xie, Shuang Liang*, “Automatic Pose Quality Assessment for Adaptive Human Pose Refinement”, International Conference on Multimedia Modeling (MMM 2021), 2021. (CCF-C) (paper)
• Wentao Ma, Shuang Liang*, “Human-Object Relation for Action Recognition in Still Images”, International Conference on Multimedia and Expo (ICME 2020), London, UK, 2020. (CCF-B) (paper) (code)
• Weidong Dai, Shuang Liang*, “Cross-Modal Guidance Network for Sketch based 3D Shape Retrieval”, International Conference on Multimedia and Expo (ICME 2020), London, UK, 2020. (CCF-B) (paper)
• Xiangyun Zhao, Shuang Liang*, Yichen Wei, “Pseudo Mask Augmented Object Detection”, 2018 IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2018), pp 4061-4070, 2018. (CCF-A) (paper)
• Chao Wang*, Shuang Liang, Jinyuan Jia, “Immersing Web3D Furniture into Real Interior Images”, the 25th IEEE Conference on Virtual Reality and 3D User Interfaces (VR 2018), pp 721-722, 2018. (CCF-A) (paper)
• Xiao Sun, Bin Xiao, Fangyin Wei, Shuang Liang*, Yichen Wei, “Integral human pose regression”, 15th European Conference on Computer Vision (ECCV 2018), pp. 536-553, 2018, Munich, Germany, 2018. (CCF-B) (paper) (code)
• Shuang Liang*, Xiao Sun, Yichen Wei, “Compositional Human Pose Regression”, Computer Vision and Image Understanding (CVIU), 176-177, pp 1-8, 2018. (CCF-B) (paper)
• Xiao Sun, Jiaxiang Shang*, Shuang Liang, Yichen Wei, “Compositional Human Pose Regression”, the IEEE International Conference on Computer Vision (ICCV 2017), pp 2621-2630, 2017. (CCF-A) (paper)
• Xingyi Zhou, Xiao Sun, Wei Zhang, Shuang Liang*, Yichen Wei, “Deep Kinematic Pose Regression”, European Conference on Computer Vision (ECCV 2016) Workshop，Amsterdam, The Netherlands, 2016. (CCF-B) (paper)
• Luwei Yang, Ligeng Zhu, Yichen Wei, Shuang Liang, Ping Tan，“Attribute Recognition from Adaptive Parts”, The British Machine Vision Conference (BMVC 2016), York, England, 2016. (CCF-C) (paper)
• Dejia Zhang, Ning Xie, Shuang Liang, Jinyuan Jia*,“3D tree skeletonization from multiple images based on PyrLK optical flow”, Pattern Recognition Letters, Vol 76, pp 49-58, 2016. (CCF-C) (paper)
• Wen Zhou*, Jinyuan Jia, Shuang Liang, “View-Dependent Simplification for Web3D Triangular Mesh Based on Voxelization and Saliency”, proceedings of the 6th International Conference on Virtual Reality and Visualization, ICVRV 2016，pp. 280-285, 2016, Hangzhou, Zhejiang, China. (paper)
• Shuang Liang*, Wenyin Liu, Jun Luo, “Sketch Matching on Topology Product Graph”, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), vol. 37, no. 8, pp.1723-1729, 2015. (CCF-A) (paper)
• Xiao Sun, Yichen Wei, Shuang Liang*, Xiaoou Tang and Jian Sun, “Cascaded Hand Pose Regression”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015), Boston, US, 2015. (CCF-A) (paper)
• Chaoyang Wang, Long Zhao, Shuang Liang*, Liqing Zhang, Jinyuan Jia and Yichen Wei, “Object Proposal by Multi-branch Hierarchical Segmentation”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR2015), Boston, US, 2015. (CCF-A) (paper)
• Long Zhao, Shuang Liang*, Jinyuan Jia, Yichen Wei, “Learning best views of 3D shapes from sketch contour”, The Visual Computer (Special Issue of CGI, Computer Graphics International), vol. 31, no. 6-8, pp.765-774, 2015.（CCF-C）(paper)
• Wangjiang Zhu, Shuang Liang*, Yichen Wei, Jian Sun, “Saliency Optimization from Robust Background Detection”, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, USA, June 2014. (CCF-A) (paper)
• Long Zhao, Shuang Liang*, Yichen Wei, and Jinyuan Jia, “Size and Location Matter: a New Baseline for Salient Object Detection”, The 12th Asian Conference on Computer Vision (ACCV 2014), Singapore, 2014.（CCF-C）(paper) (code)
• Shuang Liang*, Long Zhao, Yichen Wei and Jinyuan Jia, “Sketch-Based Retrieval Using Content-Aware Hashing”, The 15th Pacific-Rim Conference on Multimedia (PCM), Malaysia, December, 2014.（CCF-C）(paper)
• Laixiang Wen, Jinyuan Jia, Shuang Liang, “LPM: Lightweight Progressive Meshes Towards Smooth Transmission of Web3D Media over Internet”, The 13th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and Its Applications in Industry (ACM SIGGRAPH VRCAI2014), Shenzhen, China, 2014. (paper)
• Jinyuan Jia, Qian Zhang, Long Zeng, Shuang Liang*, “Voxel-Encoded Descriptor for 3D Model Retrieval by Exploring Model’s Spatial Information”, Journal of Mechanical Science and Technology, vol. 28, no. 7, pp. 2459-2467, 2014. (paper)
• Wenyin Liu, Tong Lu, Yajie Yu, Shuang Liang, Rui Zhang, “On-line Stroke Segmentation by Quick Penalty-based Dynamic Programming”, IET Computer Vision, vol. 7, no. 5, pp. 311-319, 2013. (CCF-C) (paper)
• Shuang Liang, George Baciu, Rong-Hua Li, Jinyuan Jia*, and Jianhua Zhang, “Recommendation in Motion: Intelligent Hypertouch Garment Design”, Advances in Mechanical Engineering, 2013. (paper)
• Laixiang Wen, Jinyuan Jia, Shuang Liang*, Jianhua Zhang, “Automatic Detection of Repetitive Components in 3D Mechanical Engineering Models”, Advances in Mechanical Engineering, 2013. (paper)
• George Baciu* and Shuang Liang, “Human interaction with computers and its use in the textile apparel industry”, In Jinlian Hu (editor), Computer technology for textiles and apparel. Woodhead Publishing, Cambridge, UK. July 2011. (paper)
• Shuang Liang, Ronghua Li and George Baciu, “A graph modeling and matching method for sketch-based garment panel design”, The 10th IEEE International Conference on Cognitive Informatics (IEEE ICCI’CC 2011), Banff, Canada, August 2011. (paper)
• Shuang Liang*, Justin John Cameron and George Baciu, “Generic Gesture Kernel Modeling and its application with Virtual Garment Design”, The 10th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry (ACM SIGGRAPH VRCAI 2011), HongKong, December 2011. (paper)
• Jiahua Zhang*, George Baciu, Shuang Liang and Cheng Liang, “A Creative Try: Composing Weaving Patterns by Playing on a Multi-Input Device”, The 17th ACM symposium on Virtual Reality Software and Technology (ACM VRST2010), Hong Kong, November 2010. (CCF-C) (paper)
• Shuang Liang, Eddie Chan, George Baciu and Ronghua Li, “Cognitive Garment Design Interface Using User Behavior Tree Model”, The 9th IEEE International Conference on Cognitive Informatics (IEEE ICCI 2010), Beijing, China, July 2010. (paper)
• Shuang Liang, Ronghua Li, George Baciu, Eddie Chan and Dejun Zheng, “Partial Matching of Garment Panel Shapes with Dynamic Sketching Design”, The first ACM Augmented Human International Conference (ACM AH 2010), Megève, France, April 2010. (paper)
• Shuang Liang and Zhengxing Sun*, “Sketch Retrieval and Relevance Feedback with BSVM Classification”, Pattern Recognition Letters, vol. 29, no. 12, pp. 1733-1741, 2008. (CCF-C) (paper)