Caleb Tung
Purdue University West Lafayette(US)
Publications by Year
Research Areas
Advanced Neural Network Applications, CCD and CMOS Imaging Sensors, Video Surveillance and Tracking Methods, COVID-19 epidemiological studies, Industrial Vision Systems and Defect Detection
Most-Cited Works
- → Modular Neural Networks for Low-Power Image Classification on Embedded Devices(2020)26 cited
- → Efficient Computer Vision on Edge Devices with Pipeline-Parallel Hierarchical Neural Networks(2022)18 cited
- → Camera Placement Meeting Restrictions of Computer Vision(2020)18 cited
- → Large-Scale Object Detection of Images from Network Cameras in Variable Ambient Lighting Conditions(2019)16 cited
- → Analyzing Worldwide Social Distancing through Large-Scale Computer Vision(2020)15 cited
- → Low-power object counting with hierarchical neural networks(2020)8 cited
- → A Survey of Methods for Low-Power Deep Learning and Computer Vision(2020)8 cited
- → A replication of ‘DeepBugs: a learning approach to name-based bug detection’(2021)5 cited
- → Observing Responses to the COVID-19 Pandemic using Worldwide Network Cameras(2020)5 cited
- → Low-Power Multi-Camera Object Re-Identification using Hierarchical Neural Networks(2021)4 cited