1 citations · 2 across the 5 of their papers we have counts for
6 papers
Learning to Classify New Foods Incrementally Via Compressed Exemplars
Justin Yang, Zhihao Duan, Jiangpeng He +1
Food image classification systems play a crucial role in health monitoring and diet tracking through image-based dietary assessment techniques. However, existing food recognition s…
Probing Image Compression For Class-Incremental Learning
Justin Yang, Zhihao Duan, Andrew Peng +3
Image compression emerges as a pivotal tool in the efficient handling and transmission of digital images. Its ability to substantially reduce file size not only facilitates enhance…
Towards Backward-Compatible Continual Learning of Image Compression
Zhihao Duan, Ming Lu, Justin Yang +3
This paper explores the possibility of extending the capability of pre-trained neural image compressors (e.g., adapting to new data or target bitrates) without breaking backward co…
A Visual Quality Assessment Method for Raster Images in Scanned Document
Justin Yang, Peter Bauer, Todd Harris +4
Image quality assessment (IQA) is an active research area in the field of image processing. Most prior works focus on visual quality of natural images captured by cameras. In this…
How do people incorporate advice from artificial agents when making physical judgments?
Erik Brockbank, Haoliang Wang, Justin Yang +4
How do people build up trust with artificial agents? Here, we study a key component of interpersonal trust: people's ability to evaluate the competence of another agent across repe…
Visual communication of object concepts at different levels of abstraction
Justin Yang, Judith E. Fan
People can produce drawings of specific entities (e.g., Garfield), as well as general categories (e.g., "cat"). What explains this ability to produce such varied drawings of even h…