Jennifer Yu
Jennifer Yu
Home
News
Projects
Experiences
Publications
Accomplishments
Service
CV
Light
Dark
Automatic
Computer Vision
A Multi-Granularity Approach to Similarity Search in Multiplexed Immunofluorescence Images
First image similarity search system on multiplexed immunofluorescence (mIF) tissue images
Jennifer Yu
,
Zhenqin Wu
,
Aaron Mayer
,
Alexandro Trevino
,
James Zou
PDF
Cite
Poster
PMLR
bioRxiv preprint
Haustral rhythmic motor patterns of the human large bowel revealed by ultrasound
Abdominal ultrasound recordings of the healthy human colon, analyzed with image segmentation and frequency analysis software, reveal three distinct rhythmic motor patterns at 1, 3 and 12 cycles per minute.
Amer Hussain
,
Zhenyu Zhang
,
Jennifer Yu
,
Ruihan Wei
,
Hamza Arshad
,
Jinhwan Lew
,
Cierra Jagan
,
Yongdong Wang
,
Ji-Hong Chen
,
Jan D. Huizinga
PDF
Cite
DOI
Exploring Model Compression Techniques for Deep Learning based Image Compression Models
We apply model compression techniques such as pruning and quantization to deep learning image compression models and find that pruning affects different components of these models differently.
Jennifer Yu
,
Rui Zhu
,
Parinita Edke
PDF
Cite
Project
Poster
Deep Learning-Based In-Cabin Monitoring and Vehicle Safety System Using a 4-D Imaging Radar Sensor
We propose a 2-D CNN-LSTM deep learning model that uses a MIMO radar to accurately detect, count, and classify passengers in five-seater vehicles, achieving over 95% accuracy in detecting unattended infants/children, 89% accuracy in counting passengers and identifying their seats, and 74% accuracy in classifying passengers, demonstrating its applicability in any five-seater vehicle.
Hajar Abedi
,
Martin Ma
,
James He
,
Jennifer Yu
,
Ahmad Ansariyan
,
George Shaker
PDF
Cite
DOI
On the Use of Machine Learning and Deep Learning for Radar- Based Passenger Monitoring
In the past decade, there has been an increasing demand for in-vehicle safety sensors. In this paper, we use a multi-input multi-output …
Hajar Abedi
,
Martin Ma
,
Jennifer Yu
,
James He
,
Ahmad Ansariyan
,
George Shaker
PDF
Cite
DOI
Cite
×