65 citations · 115 across the 23 of their papers we have counts for
6 papers · 1 filter
SYRAC: Synthesize, Rank, and Count
Adriano D'Alessandro, Ali Mahdavi-Amiri, Ghassan Hamarneh
Crowd counting is a critical task in computer vision, with several important applications. However, existing counting methods rely on labor-intensive density map annotations, neces…
SLiMe: Segment Like Me
Aliasghar Khani, Saeid Asgari Taghanaki, Aditya Sanghi +2
Significant strides have been made using large vision-language models, like Stable Diffusion (SD), for a variety of downstream tasks, including image editing, image correspondence,…
AI-based analysis of super-resolution microscopy: Biological discovery in the absence of ground truth
Ivan R. Nabi, Ben Cardoen, Ismail M. Khater +3
Super-resolution microscopy, or nanoscopy, enables the use of fluorescent-based molecular localization tools to study molecular structure at the nanoscale level in the intact cell,…
Why is plausibility surprisingly problematic as an XAI criterion?
Weina Jin, Xiaoxiao Li, Ghassan Hamarneh
Explainable artificial intelligence (XAI) is motivated by the problem of making AI predictions understandable, transparent, and responsible, as AI becomes increasingly impactful in…
Invisible Users: Uncovering End-Users' Requirements for Explainable AI via Explanation Forms and Goals
Weina Jin, Jianyu Fan, Diane Gromala +2
Non-technical end-users are silent and invisible users of the state-of-the-art explainable artificial intelligence (XAI) technologies. Their demands and requirements for AI explain…
Log-Paradox: Necessary and sufficient conditions for confounding statistically significant pattern reversal under the log-transform
Ben Cardoen, Hanene Ben Yedder, Sieun Lee +2
The log-transform is a common tool in statistical analysis, reducing the impact of extreme values, compressing the range of reported values for improved visualization, enabling the…