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Publication search results
found 70 matches
- 2024
- Xingtong He, Xu Liu, Licheng Jiao:
Global Shapes and Salient Joints Features Learning for Skeleton-Based Action Recognition. IEEE Signal Process. Lett. 31: 206-210 (2024) - Cong Gao, Anqi Feng, Xingtong Liu, Russell H. Taylor, Mehran Armand, Mathias Unberath:
A Fully Differentiable Framework for 2D/3D Registration and the Projective Spatial Transformers. IEEE Trans. Medical Imaging 43(1): 275-285 (2024) - Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang:
HGPrompt: Bridging Homogeneous and Heterogeneous Graphs for Few-Shot Prompt Learning. AAAI 2024: 16578-16586 - Xingtong Yu, Yuan Fang, Zemin Liu, Yuxia Wu, Zhihao Wen, Jianyuan Bo, Xinming Zhang, Steven C. H. Hoi:
Few-Shot Learning on Graphs: from Meta-learning to Pre-training and Prompting. CoRR abs/2402.01440 (2024) - Xinjie Zhang, Shenyuan Gao, Zhening Liu, Jiawei Shao, Xingtong Ge, Dailan He, Tongda Xu, Yan Wang, Jun Zhang:
Content-aware Masked Image Modeling Transformer for Stereo Image Compression. CoRR abs/2403.08505 (2024) - 2023
- Meng Shen, Ke Ye, Xingtong Liu, Liehuang Zhu, Jiawen Kang, Shui Yu, Qi Li, Ke Xu:
Machine Learning-Powered Encrypted Network Traffic Analysis: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 25(1): 791-824 (2023) - Hua Fang, Weidong Man, Mingyue Liu, Yongbin Zhang, Xingtong Chen, Xiang Li, Jiannan He, Di Tian:
Leaf Area Index Inversion of Spartina alterniflora Using UAV Hyperspectral Data Based on Multiple Optimized Machine Learning Algorithms. Remote. Sens. 15(18): 4465 (2023) - Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang:
Learning to Count Isomorphisms with Graph Neural Networks. AAAI 2023: 4845-4853 - Shaokang Wang, Songlin Sun, Jiaqi Zou, Ruotong Wu, Zhilei Ling, Xingtong Liu:
An Improved CTU-level Rate Control Algorithm Based on Temporal Domain Motion Intensity. ISCIT 2023: 214-218 - Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang:
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. WWW 2023: 417-428 - Xingtong Yu, Zemin Liu, Yuan Fang, Xinming Zhang:
Learning to Count Isomorphisms with Graph Neural Networks. CoRR abs/2302.03266 (2023) - Zemin Liu, Xingtong Yu, Yuan Fang, Xinming Zhang:
GraphPrompt: Unifying Pre-Training and Downstream Tasks for Graph Neural Networks. CoRR abs/2302.08043 (2023) - Xingtong Yu, Zhenghao Liu, Yuan Fang, Zemin Liu, Sihong Chen, Xinming Zhang:
Generalized Graph Prompt: Toward a Unification of Pre-Training and Downstream Tasks on Graphs. CoRR abs/2311.15317 (2023) - Xingtong Yu, Yuan Fang, Zemin Liu, Xinming Zhang:
HGPROMPT: Bridging Homogeneous and Heterogeneous Graphs for Few-shot Prompt Learning. CoRR abs/2312.01878 (2023) - 2022
- Yihui Wang, Shanquan Gao, Xingtong Li, Lei Liu, Huaxiao Liu:
Missing standard features compared with similar apps? A feature recommendation method based on the knowledge from user interface. J. Syst. Softw. 193: 111435 (2022) - Gang Yang, Chaojing Tang, Xingtong Liu:
DualAC2NN: Revisiting and Alleviating Alert Fatigue from the Detection Perspective. Symmetry 14(10): 2138 (2022) - Xingtong Liu, Zhaoshuo Li, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
SAGE: SLAM with Appearance and Geometry Prior for Endoscopy. ICRA 2022: 5587-5593 - Xingtong Liu, Meng Shen, Laizhong Cui, Ke Ye, Jizhe Jia, Guangchun Yue:
FewFine: Few-shot Malware Traffic Classification Via Transfer Learning based on Fine-tuning Strategy. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 425-432 - Xingtong Liu, Zhaoshuo Li, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
SAGE: SLAM with Appearance and Geometry Prior for Endoscopy. CoRR abs/2202.09487 (2022) - 2021
- Javad Fotouhi, Xingtong Liu, Mehran Armand, Nassir Navab, Mathias Unberath:
Reconstruction of Orthographic Mosaics From Perspective X-Ray Images. IEEE Trans. Medical Imaging 40(11): 3165-3177 (2021) - Xingtong Liu, Benjamin D. Killeen, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Neighborhood Normalization for Robust Geometric Feature Learning. CVPR 2021: 13049-13058 - Zhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy S. Ding, Francis X. Creighton, Russell H. Taylor, Mathias Unberath:
Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. ICCV 2021: 6177-6186 - 2020
- Jianbin Xiong, Xi Liu, Xingtong Zhu, Hongbin Zhu, Haiying Li, Qinghua Zhang:
Semi-Supervised Fuzzy C-Means Clustering Optimized by Simulated Annealing and Genetic Algorithm for Fault Diagnosis of Bearings. IEEE Access 8: 181976-181987 (2020) - Bing Lv, Xingtong Chen, Chunguo Liu:
A Highly Sensitive Piezoresistive Pressure Sensor Based on Graphene Oxide/Polypyrrole@Polyurethane Sponge. Sensors 20(4): 1219 (2020) - Xingtong Liu, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Austin Reiter, Russell H. Taylor, Mathias Unberath:
Dense Depth Estimation in Monocular Endoscopy With Self-Supervised Learning Methods. IEEE Trans. Medical Imaging 39(5): 1438-1447 (2020) - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences Using a Learned Feature Descriptor. CVPR 2020: 4846-4855 - Cong Gao, Xingtong Liu, Wenhao Gu, Benjamin Killeen, Mehran Armand, Russell H. Taylor, Mathias Unberath:
Generalizing Spatial Transformers to Projective Geometry with Applications to 2D/3D Registration. MICCAI (3) 2020: 329-339 - Xingtong Liu, Maia Stiber, Jindan Huang, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Reconstructing Sinus Anatomy from Endoscopic Video - Towards a Radiation-Free Approach for Quantitative Longitudinal Assessment. MICCAI (3) 2020: 3-13 - Max Allan, Satoshi Kondo, Sebastian Bodenstedt, Stefan Leger, Rahim Kadkhodamohammadi, Imanol Luengo, Félix Fuentes-Hurtado, Evangello Flouty, Ahmed Kedir Mohammed, Marius Pedersen, Avinash Kori, Alex Varghese, Ganapathy Krishnamurthi, David Rauber, Robert Mendel, Christoph Palm, Sophia Bano, Guinther Saibro, Chi-Sheng Shih, Hsun-An Chiang, Juntang Zhuang, Junlin Yang, Vladimir Iglovikov, Anton Dobrenkii, Madhu Reddiboina, Anubhav Reddy, Xingtong Liu, Cong Gao, Mathias Unberath, Mahdi Azizian, Danail Stoyanov, Lena Maier-Hein, Stefanie Speidel:
2018 Robotic Scene Segmentation Challenge. CoRR abs/2001.11190 (2020) - Xingtong Liu, Yiping Zheng, Benjamin Killeen, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath:
Extremely Dense Point Correspondences using a Learned Feature Descriptor. CoRR abs/2003.00619 (2020)
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