Publications

Jihe Li*, Fabian Zhang*, Xia Li, Tianhao Zhang, Ye Zhang, Joachim Buhmann (2024). Gaussian Representation for Deformable Image Registration. Arxiv 2024.
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Xia Li, Runzhao Yang, Xiangtai Li, Antony Loaxx, Ye Zhang, Joachim Buhamann (2024). CPT-Interp: Continuous sPatial and Temporal Motion Modeling for 4D Medical Image Interpolation. Arxiv 2024.
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Xia Li, Fabian Zhang, Muheng Li, Damien Weber, Antony Lomax, Joachim Buhmann, Ye Zhang (2024). Neural Graphics Primitives-based Deformable Image Registration for On-the-fly Motion Extraction. ICCR 2024.
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Muheng Li, Xia Li, Sairos Safai, Damien Weber, Antony Lomax, Ye Zhang (2024). Diffusion Schrödinger Bridge Models for High-Quality MR-to-CT Synthesis for Head and Neck Proton Treatment Planning. ICCR 2024.
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Peifeng Jiang, Hong Liu, Xia Li, Ti Wang, Fabian Zhang, Joachim Buhamann (2024). TAMBRIDGE: Bridging Frame-Centered Tracking and 3D Gaussian Splatting for Enhanced SLAM. Arxiv 2024.
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Xia Li, Muheng Li, Damien Weber, Antony Lomax, Joachim Buhmann, Ye Zhang (2024). Beyond Voxel-Based Methods: Continuous Motion Modeling for Enhanced Deformable Image Registration. ESTRO 2024.
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Xia Li, Muheng Li, Antony Lomax, Joachim Buhmann, Ye Zhang (2024). Continuous sPatial-Temporal Deformable Image Registration (CPT-DIR) for motion modelling in radiotherapy: beyond classic voxel-based methods. Arxiv 2024.
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Jianzong Wu, Xiangtai Li, Xia Li, Henghui Ding, Yunhai Tong, Dacheng Tao (2024). Towards robust referring image segmentation. TIP 2024.
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Ti Wang, Mengyuan Liu, Hong Liu, Bin Ren, Yingxuan You, Wenhao Li, Nicu Sebe, Xia Li (2024). Uncertainty-Aware Testing-Time Optimization for 3D Human Pose Estimation. Arxiv 2024.
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Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, Dacheng Tao (2024). Towards open vocabulary learning: A survey. TPAMI 2024.
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Xia Li, Renato Bellotti, Gabriel Meier, Barbara Bachtiary, Damien Weber, Antony Lomax, Joachim Buhmann, Ye Zhang (2024). Uncertainty-aware MR-based CT synthesis for robust proton therapy planning of brain tumour. Green Journal 2023.
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Xia Li, Renato Bellotti, Barbara Bachtiary, Jan Hrbacek, Damien Weber, Antony Lomax, Joachim Buhmann, Ye Zhang (2024). A Unified Generation-Registration Framework for Improved MR-based CT Synthesis in Proton Therapy. Arxiv 2024.
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Xinshun Wang, Zhongbin Fang, Xia Li, Xiangtai Li, Chen Chen, Mengyuan Liu (2023). Skeleton-in-context: Unified skeleton sequence modeling with in-context learning. CVPR 2024.
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Zhongbin Fang, Xiangtai Li, Xia Li, Joachim Buhmann, Chen Change Loy, Mengyuan Liu (2023). Explore In-Context Learning for 3D Point Cloud Understanding. NeurIPS 2023.
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Yingxuan You, Hong Liu, Ti Wang, Wenhao Li, Runwei Ding, Xia Li (2023). Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video. ICCV 2023.
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Jianzong Wu, Xiangtai Li, Henghui Ding, Xia Li, Guangliang Cheng, Yunhai Tong, Chen Change Loy (2023). Betrayed by captions: Joint caption grounding and generation for open vocabulary instance segmentation. ICCV 2023.
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Xingyu Xie, Qiuhao Wang, Zenan Ling, Xia Li, Guangcan Liu, Zhouchen Lin (2022). Optimization induced equilibrium networks: An explicit optimization perspective for understanding equilibrium models. TPAMI 2022.
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Meijia Song, Hong Liu, Wei Shi, Xia Li (2021). PCLoss: Fashion landmark estimation with position constraint loss. PR 2022.
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Lei Ke, Xia Li, Martin Danelljan, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu (2021). Prototypical Cross-Attention Networks for Multiple Object Tracking and Segmentation. NeurIPS 2021.
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Xiangtai Li, Xia Li, Ansheng You, Li Zhang, Guangliang Cheng, Kuiyuan Yang, Yunhai Tong, Zhouchen Lin (2021). Towards efficient scene understanding via squeeze reasoning. TIP 2021.
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Jiangmiao Pang, Linlu Qiu, Xia Li, Qi Li, Trevor Darrel, Fisher Yu (2021). Quasi-dense similarity learning for multiple object tracking. CVPR 2021.
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Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin (2021). PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. CVPR 2021.
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Hanrong Ye, Hong Liu, Fanyang Meng, Xia Li (2020). Bi-directional Exponential Angular Triplet Loss for RGB-Infrared Person Re-Identification. TIP 2021.
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Zhengyang Geng, Menghao Guo, Hongxu Chen, Xia Li, Ke Wei, Zhouchen Lin (2020). Is Attention Better Than Matrix Decomposition?. ICLR 2020.
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Xiangtai Li, Xia Li, Li Zhang, Guangliang Cheng, Jianping Shi, Zhouchen Lin, Shaohua Tan, Yunhai Tong (2020). Improving Semantic Segmentation via Decoupled Body and Edge Supervision. ECCV 2020.
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Xia Li, Yibo Yang, Qijie Zhao, Tiancheng Shen, Zhouchen Lin, Hong Liu (2020). Spatial Pyramid Based Graph Reasoning for Semantic Segmentation. CVPR 2020.
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Yibo Yang, Hongyang Li, Xia Li, Qijie Zhao, Jianlong Wu, Zhouchen Lin (2020). SOGNet: Scene Overlap Graph Network for Panoptic Segmentation. AAAI 2020.
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Yibo Yang, Jianlong Wu, Hongyang Li, Xia Li, Tiancheng Shen, Zhouchen Lin (2020). Dynamic System Inspired Adaptive Time Stepping Controller for Residual Networks Families. AAAI 2020.
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Xia Li, Zhisheng Zhong, Jianlong Wu, Yibo Yang, Zhouchen Lin, Hong Liu (2019). Expectation Maximization Attention Networks for Semantic Segmentation. ICCV 2019.
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Tiancheng Shen, Xia Li, Zhisheng Zhong, Jianlong Wu, Zhouchen Lin (2019). R^2 Net Recurrent and Recursive Network for Sparse View CT Artifacts Removal. MICCAI 2019.
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Xia Li, Jianlong Wu, Zhouchen Lin, Hong Liu, Hongbin Zha (2018). Recurrent Squeeze-and-Excitation Net for Single Image Deraining. ECCV 2018.
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