Yung-Hsiang Lu

is this you? claim profile

0 followers

∙

Purdue University

Featured Co-authors

Xin Liu
157 publications
Yiran Chen
84 publications
Bo Chen
74 publications
Chen Feng
66 publications
Xiaopeng Zhang
55 publications
Fei Sun
44 publications
Yang Lu
40 publications
George K. Thiruvathukal
26 publications
Ling Zhang
26 publications
Alexander C. Berg
26 publications
Andrew Howard
21 publications

∙ 07/28/2022

Why Accuracy Is Not Enough: The Need for Consistency in Object Detection

Object detectors are vital to many modern computer vision applications. ...

Caleb Tung, et al. ∙

∙ 07/21/2022

Irrelevant Pixels are Everywhere: Find and Exclude Them for More Efficient Computer Vision

Computer vision is often performed using Convolutional Neural Networks (...

Caleb Tung, et al. ∙

∙ 09/27/2021

Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks

Computer vision on low-power edge devices enables applications including...

Abhinav Goel, et al. ∙

∙ 07/02/2021

An Experience Report on Machine Learning Reproducibility: Guidance for Practitioners and TensorFlow Model Garden Contributors

Machine learning techniques are becoming a fundamental tool for scientif...

Vishnu Banna, et al. ∙

∙ 06/19/2021

Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks

Low-power computer vision on embedded devices has many applications. Thi...

Abhinav Goel, et al. ∙

∙ 03/23/2021

Automated Discovery of Real-Time Network Camera Data From Heterogeneous Web Pages

Reduction in the cost of Network Cameras along with a rise in connectivi...

Ryan Dailey, et al. ∙

∙ 08/27/2020

Analyzing Worldwide Social Distancing through Large-Scale Computer Vision

In order to contain the COVID-19 pandemic, countries around the world ha...

Isha Ghodgaonkar, et al. ∙

∙ 07/02/2020

Low-Power Object Counting with Hierarchical Neural Networks

Deep Neural Networks (DNNs) can achieve state-of-the-art accuracy in man...

Abhinav Goel, et al. ∙

∙ 05/18/2020

Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras

COVID-19 has resulted in a worldwide pandemic, leading to "lockdown" pol...

Isha Ghodgaonkar, et al. ∙

∙ 03/24/2020

A Survey of Methods for Low-Power Deep Learning and Computer Vision

Deep neural networks (DNNs) are successful in many computer vision tasks...

Abhinav Goel, et al. ∙

∙ 04/15/2019

Low-Power Computer Vision: Status, Challenges, Opportunities

Computer vision has achieved impressive progress in recent years. Meanwh...

Sergei Alyamkin, et al. ∙

∙ 04/14/2019

See the World through Network Cameras

Millions of network cameras have been deployed worldwide. Real-time data...

Yung-Hsiang Lu, et al. ∙

∙ 03/12/2019

Low Power Inference for On-Device Visual Recognition with a Quantization-Friendly Solution

The IEEE Low-Power Image Recognition Challenge (LPIRC) is an annual comp...

Chen Feng, et al. ∙

∙ 01/19/2019

Cross-referencing Social Media and Public Surveillance Camera Data for Disaster Response

Physical media (like surveillance cameras) and social media (like Instag...

Chittayong Surakitbanharn, et al. ∙

∙ 01/18/2019

Cloud Resource Optimization for Processing Multiple Streams of Visual Data

Hundreds of millions of network cameras have been installed throughout t...

Zohar Kapach, et al. ∙

∙ 12/31/2018

Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions

Computer vision relies on labeled datasets for training and evaluation i...

Caleb Tung, et al. ∙

∙ 10/03/2018

2018 Low-Power Image Recognition Challenge

The Low-Power Image Recognition Challenge (LPIRC, https://rebootingcompu...

Sergei Alyamkin, et al. ∙

∙ 02/21/2018

Analyzing Real-Time Multimedia Content From Network Cameras: Using CPUs and GPUs in the Cloud

Millions of network cameras are streaming real-time multimedia content (...

Ahmed S. Kaseb, et al. ∙