Field Calibration Method of Camera for Measuring the Dimensions of Large Forging. - Wei Liu 037; Jian Du; Bangguo Wang; Xinghua Jia; Shuangjun Liu; Zhenyuan Jia (ICIRA (2), 2010)

A roughness Measurement Method Based on Genetic Algorithm and Neural Network for Microheterogeneous Surface in Deep-Hole Parts. - Wei Liu 037; Xiuyan Zheng; Shuangjun Liu; Zhenyuan Jia (J. Circuits Syst. Comput., 2012)

A mechanical vibration identification method for sub-Nyquist sampling based on ESPRIT-like algorithm. - Peng Chen; Shuangjun Liu; Long Cui; Hongyi Li (ICCA, 2014)

A Vision-Based System for In-Bed Posture Tracking. - Shuangjun Liu; Sarah Ostadabbas (ICCV Workshops, 2017)

In-Bed Pose Estimation: Deep Learning with Shallow Dataset. - Shuangjun Liu; Yu Yin 001; Sarah Ostadabbas (CoRR, 2017)

Inner Space Preserving Generative Pose Machine. - Shuangjun Liu; Sarah Ostadabbas (ECCV (1), 2018)

A Semi-supervised Data Augmentation Approach Using 3D Graphical Engines. - Shuangjun Liu; Sarah Ostadabbas (ECCV Workshops (2), 2018)

Seeing Under the Cover: A Physics Guided Learning Approach for In-bed Pose Estimation. - Shuangjun Liu; Sarah Ostadabbas (MICCAI (1), 2019)

Recognition Of Atypical Behavior In Autism Diagnosis From Video Using Pose Estimation Over Time. - Kathan Vyas; Rui Ma; Behnaz Rezaei; Shuangjun Liu; Michael Neubauer 004; Thomas Ploetz; Ronald Oberleitner; Sarah Ostadabbas (MLSP, 2019)

Simultaneously-Collected Multimodal Lying Pose Dataset: Towards In-Bed Human Pose Monitoring under Adverse Vision Conditions. - Shuangjun Liu; Xiaofei Huang; Nihang Fu; Cheng Li; Zhongnan Su; Sarah Ostadabbas (CoRR, 2020)

Development of use-specific high-performance cyber-nanomaterial optical detectors by effective choice of machine learning algorithms. - Davoud Hejazi; Shuangjun Liu; Amirreza Farnoosh; Sarah Ostadabbas; Swastik Kar (Mach. Learn. Sci. Technol., 2020)

An Efficient 3D Synthetic Model Generation Pipeline for Human Pose Data Augmentation. - Kathan Vyas; Le Jiang; Shuangjun Liu; Sarah Ostadabbas (CVPR Workshops, 2021)

Invariant Representation Learning for Infant Pose Estimation with Small Data. - Xiaofei Huang; Nihang Fu; Shuangjun Liu; Sarah Ostadabbas (FG, 2021)

Heuristic Weakly Supervised 3D Human Pose Estimation in Novel Contexts without Any 3D Pose Ground Truth. - Shuangjun Liu; Xiaofei Huang; Nihang Fu; Sarah Ostadabbas (CoRR, 2021)

Prior-Aware Synthetic Data to the Rescue: Animal Pose Estimation with Very Limited Real Data. - Le Jiang; Shuangjun Liu; Xiangyu Bai; Sarah Ostadabbas (BMVC, 2022)

Privacy-Preserving In-Bed Pose and Posture Tracking on Edge. - Cholpady Vikram Kamath; Shuangjun Liu; Sarah Ostadabbas (EMBC, 2022)

Appearance-Independent Pose-Based Posture Classification in Infants. - Xiaofei Huang; Shuangjun Liu; Michael Wan; Nihang Fu; David Li Pino; Bharath R. Modayur; Sarah Ostadabbas (ICPR Workshops (1), 2022)

Adapted human pose: monocular 3D human pose estimation with zero real 3D pose data. - Shuangjun Liu; Naveen Sehgal; Sarah Ostadabbas (Appl. Intell., 2022)

Privacy-Preserving in-Bed Human Pose Estimation: Highlights from the IEEE Video and Image Processing Cup 2021 Student Competition [SP Competitions]. - Shuangjun Liu; Xiaofei Huang; Lucio Marcenaro; Sarah Ostadabbas (IEEE Signal Process. Mag., 2022)

Pressure eye: In-bed contact pressure estimation via contact-less imaging. - Shuangjun Liu; Sarah Ostadabbas (Medical Image Anal., 2023)

Simultaneously-Collected Multimodal Lying Pose Dataset: Enabling In-Bed Human Pose Monitoring. - Shuangjun Liu; Xiaofei Huang; Nihang Fu; Cheng Li; Zhongnan Su; Sarah Ostadabbas (IEEE Trans. Pattern Anal. Mach. Intell., 2023)