Visualization of the geometric transformation group based on the Riemannian metric. - Tianci Liu 001; Zelin Shi; Yunpeng Liu 001; Chenxi Li (ICSAI, 2016)

Joint Geometric and Photometric Visual Tracking Based on Lie Group. - Chenxi Li; Zelin Shi; Yunpeng Liu 001; Tianci Liu 001 (GSI, 2017)

Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective. - Tianci Liu 001; Zelin Shi; Yunpeng Liu 001 (CoRR, 2017)

Joint Normalization and Dimensionality Reduction on Grassmannian: A Generalized Perspective. - Tianci Liu 001; Zelin Shi; Yunpeng Liu 001 (IEEE Signal Process. Lett., 2018)

Efficient and Robust Direct Image Registration Based on Joint Geometric and Photometric Lie Algebra. - Chenxi Li; Zelin Shi; Yunpeng Liu 001; Tianci Liu 001; Lingyun Xu (IEEE Trans. Image Process., 2018)

LumNet: A Deep Neural Network for Lumbar Paraspinal Muscles Segmentation. - Yingdi Zhang; Zelin Shi; Huan Wang; Chongnan Yan; Lanbo Wang; Yueming Mu; Yunpeng Liu 001; Shuhang Wu; Tianci Liu 001 (Australasian Conference on Artificial Intelligence, 2019)

Visualization of the Image Geometric Transformation Group Based on Riemannian Manifold. - Tianci Liu 001; Zelin Shi; Yunpeng Liu 001 (IEEE Access, 2019)

Supervised Dimensionality Reduction on Grassmannian for Image Set Recognition. - Tianci Liu 001; Zelin Shi; Yunpeng Liu 001 (Neural Comput., 2019)

DAGN: A Real-Time UAV Remote Sensing Image Vehicle Detection Framework. - Zhongyu Zhang; Yunpeng Liu 001; Tianci Liu 001; Zhiyuan Lin; Sikui Wang (IEEE Geosci. Remote. Sens. Lett., 2020)

CrossGAN-Detection: A generative adversarial network with directly controllable fusion for target detection. - Hao Zhang; Haiyang Hua; Tianci Liu 001 (J. Intell. Fuzzy Syst., 2022)

Multibranch Feature Difference Learning Network for Cross-Spectral Image Patch Matching. - Chuang Yu 003; Yunpeng Liu 001; Chenxi Li; Lin Qi; Xin Xia; Tianci Liu 001; Zhuhua Hu (IEEE Trans. Geosci. Remote. Sens., 2022)

Accurate Segmentation of Lumbar Spine Magnetic Resonance Imaging by Deep Neural Network with Size-Adaptive Loss. - Yingdi Zhang; Zelin Shi; Huan Wang; Chongnan Yan; Lanbo Wang; Yueming Mu; Yunpeng Liu 001; Shuhang Wu; Tianci Liu 001; Mingqi Pang (ICMLC, 2023)

Deep Learning Methods for Ship Classification: From Visible to Infrared Images. - Tianci Liu 001; Hengjia Qin; Zhuo Zhan; Yunpeng Liu 001 (RICAI, 2023)

Boosting 3D point-based object detection by reducing information loss caused by discontinuous receptive fields. - Ao Liang; Haiyang Hua; Jian Fang; Huaici Zhao; Tianci Liu 001 (Int. J. Appl. Earth Obs. Geoinformation, 2024)