Papers by AltumView:
- Soroush Oraki, Feng Ding, Jie Liang, SCALE: Semantic- and Confidence-Aware Conditional Variational Autoencoder for Zero-shot Skeleton-based Action Recognition, ICPR 2026.
- J. Liang, A. Au, M. Chen, C. Chan, J. Zheng, Z. DeVries, Y. Xiao, and Paeton Dhesi, “Skeleton-based Privacy-Preserving Smart Activity Sensor for Senior Care and Patient Monitoring,” preprint, Jan. 2024.
- S. Oraki, H. Zhuang, and J. Liang, “LORTSAR: Low-Rank Transformer for Skeleton-based Action Recognition,” 19th International Symposium on Visual Computing, Lake Tahoe, NV, Oct. 2024. (This paper is the first that applies the low-rank approximation method in large language models (LLMs) to skeleton-based human action recognition, which can significantly reduce the number of model parameters with negligible performance degradation or even better performance after retraining.)
- X. Wang, H. W. Ng, and J. Liang, “Lapped Convolutional Neural Networks for Embedded Systems,” Proc. of 2017 IEEE Global Conference on Signal and Information Processing (GlobalSIP), Montreal, Quebec, Canada, Nov. 2017, pp. 1135-1139.
Papers by other researchers that use AltumView product:
- Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., “Walking Gait Speed Measurement Using Privacy Respecting AI Enabled Visual Sensor”, 2022 IEEE International Symposium on Medical Measurements and Applications (MeMeA), Jun. 2022, Messina, Italy, 6 pages.
- Agarwal, A., Wallace, B., Goubran, R., Knoefel, F., Thomas, N., “Method to Improve Gait Speed Assessment for Low Frame Rate AI Enabled Visual Sensor” 2022 IEEE Sensors Applications Symposium (SAS), Aug. 2022, Sundsvall, Sweden, 6 pages.
- Agarwal, A. “Methods for Gait Analysis in a Supportive Smart Home”, M.A.Sc. Thesis, Carleton University, 2022.
Patents by AltumView:
- C. Chan, D. Zhang, Y. Gao, A. Au, Z. DeVries, J. Liang, Privacy-preserving human action recognition, storage, and retrieval via joint edge and cloud computing. US Patent Number 17/522,901. Notice of Allowance: August 22, 2024.
- Him Wai Ng, Xing Wang, Jiannan Zheng, Andrew Au, Chi Chung Chan, Kuan Huan Lin, Dong Zhang, Eric Honsch,Kwun-Keat Chan, Minghua Chen, Yu Gao, Adrian Auk, Karen Ly-Ma, Adrian Fettes, Jianbing Wu, Ye Lu, Method and System for Privacy-Preserving Fall Detection, US Patent Number 16/672,432, issued, Nov. 23, 2021.
- Andrew Tsun-Hong Au, Dong Zhang, Chi Chung Chan, Jiannan Zheng, Deep Learning-based Fall Detection based on Human Keypoints. US patent No. 11923092, issued, March 5, 2024.
- X. Wang, M. Seyfi, M. Chen, H. W. Ng, and J. Liang, Face Detection Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent number 10,268,947, Issued, Apr 23, 2019.
- X. Wang, M. Seyfi, M. Chen, H. W. Ng, Jiannan Zheng, and J. Liang, Age and Gender Estimation Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent No. 10,558,908, Issued, Feb. 11, 2020.
- X. Wang, M. Seyfi, M. Chen, H. W. Ng, and J. Liang, Joint Face-Detection and Head-Pose-Angle-Estimation Using Small-Scale Convolutional Neural Network (CNN) Modules for Embedded Systems, US Patent No. 10,467,458, Issued, Nov. 5, 2019.
- M. Seyfi, X. Wang, M. Chen, K. Wang, W. Wang, H. W. Ng, J. Zheng, and J. Liang, Method and Apparatus for Real-Time Face-Tracking and Face-Pose-Selection on Embedded Vision Systems, US Patent No. 10,510,157, Issued, Dec 17, 2019.
- H. W. Ng, X. Wang, Y. Gao, R. Ma, and Y. Lu, Enhanced Face-Detection and Face-Tracking for Resource-Limited Embedded Vision Systems, US Patent No. 10,691,925,Issued: Jun. 23, 2020.
- Z. Yi, X. Wang, H. W. Ng, S. Ma, and J. Liang, High-Quality Training Data Preparation for High-Performance Face Recognition Systems, US Patent No. 10,943,096,Issued, Mar. 9, 2021.
- Y. Gao, E. Honsch, R. Ma, C. Shen, M. Chen, Y. Lu, J. Liang, and J. Wu, High-Performance Visual Object Tracking for Embedded Vision Systems, US Patent No. 11,205,274, issued, Dec. 21, 2021.
- R. Ma, C. Shen, Y. Gao, Y. Lu, M. Chen, J. Liang, and J. Wu, Obstacle Avoidance System based on Embedded Stereo Vision for Unmanned Aerial Vehicles, US Patent No. 10,776,939,Issued, Sept. 15, 2020.
- X. Wang, H. W. Ng, and J. Liang, Convolutional Neural Network (CNN) System based on Resolution-Limited Small-Scale CNN Modules, US Patent Number 10,360,494, Issued, Jul 23, 2019.
- Y. Gao, X. Wang, R. Ma, C. Shen, M. Chen, J. Liang, J. Wu, Real-time visual object tracking for unmanned aerial vehicles (UAVs), US Patent Number 11645765. Issue Date: May 9, 2023.
- Jiannan Zheng, Chao Shen, Dong Zhang, and Jie Liang, Video-based Fall Risk Assessment System, US patent application 16/731,025, Dec. 30, 2019.
- Andrew Tsun-Hong Au, Dong Zhang, Chi Chung Chan, and Jiannan Zheng, Method and System for Privacy-Preserving Health Monitoring, US patent application 17/408,490, Aug. 23, 2021.