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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
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Posts
Future Blog Post
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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Blog Post number 2
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Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
publications
Atfvo: An attentive tensor-compressed lstm model with optical flow features for monocular visual odometry
Published in 2021 WRC Symposium on Advanced Robotics and Automation (WRC SARA), 2021
Recommended citation: Ren, H., Li, C., Zhang, X., Ding, C., Man, C., & Yu, H. (2021, September). Atfvo: An attentive tensor-compressed lstm model with optical flow features for monocular visual odometry. In 2021 WRC Symposium on Advanced Robotics and Automation (WRC SARA) (pp. 79-85). IEEE.
An edge-device based fast fall detection using spatio-temporal optical flow model
Published in 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), 2021
Recommended citation: Yang, Y., Ren, H., Li, C., Ding, C., & Yu, H. (2021, November). An edge-device based fast fall detection using spatio-temporal optical flow model. In 2021 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (pp. 5067-5071). IEEE.
TLCD: A Transformer based Loop Closure Detection for Robotic Visual SLAM
Published in 2022 International Conference on Advanced Robotics and Mechatronics (ICARM), 2022
Recommended citation: Li, C., Ren, H., Bi, M., Ding, C., Li, W., Zhang, R., ... & Yu, H. (2022, July). TLCD: A Transformer based Loop Closure Detection for Robotic Visual SLAM. In 2022 International Conference on Advanced Robotics and Mechatronics (ICARM) (pp. 261-267). IEEE.
SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation
Published in 2023 International Conference on Computer Vision (ICCV), 2023
Recommended citation: Zhang, Y., Chen, D., Kundu, S., Li, C., & Beerel, P. A. (2023). SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. In Proceedings of the IEEE/CVF International Conference on Computer Vision (pp. 5116-5125).
RNA-ViT: Reduced-Dimension Approximate Normalized Attention Vision Transformers for Latency Efficient Private Inference
Published in 2023 International Conference on Computer-Aided Design (ICCAD), 2023
Recommended citation: Coming soon (Accepted)
Mitigate Replication and Copying in Diffusion Models with Generalized Caption and Dual Fusion Enhancement
Published in 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2024
Recommended citation: Coming soon (Accepted)
research
Mitigate Data Replication in Diffusion Models
Student Researcher(USC), Professor Peter A. Beerel
Private Inference(PI)-friendly Visual Transformer Structure
Student Researcher(USC), Professor Peter A. Beerel
Pytorch Implementation of MobileViTv2
Student Researcher(USC), Professor Peter A. Beerel
Visual SLAM system
Student Researcher (SUSTech), Professor Hao Yu
An Edge-Device Based Fast Fall Detection Using Spatio-temporal Optical Flow Model
Student Researcher (SUSTech), Professor Hao Yu
3D Facial Recognition System
Student Researcher (SUSTech), Professor Hao Yu
teaching
Grader
EE565 Information Theory and its Application to (Big) Data Sciences Spring 2023, University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, 2023
Grader
EE364 Introduction to Probability and Statistics for Electrical Engineering and Computer Science Fall 2023, University of Southern California, Ming Hsieh Department of Electrical and Computer Engineering, 2023