142 citations · 175 across the 30 of their papers we have counts for
5 papers · 1 filter
A Joint Framework Towards Class-aware and Class-agnostic Alignment for Few-shot Segmentation
Kai Huang, Mingfei Cheng, Yang Wang +4
Few-shot segmentation (FSS) aims to segment objects of unseen classes given only a few annotated support images. Most existing methods simply stitch query features with independent…
Revisiting Piggyback Prototyping: Examining Benefits and Tradeoffs in Extending Existing Social Computing Systems
Daniel A. Epstein, Fannie Liu, Andrés Monroy-Hernández +1
The CSCW community has a history of designing, implementing, and evaluating novel social interactions in technology, but the process requires significant technical effort for uncer…
Explanation-Guided Fairness Testing through Genetic Algorithm
Ming Fan, Wenying Wei, Wuxia Jin +2
The fairness characteristic is a critical attribute of trusted AI systems. A plethora of research has proposed diverse methods for individual fairness testing. However, they are su…
BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster
Jason Dai, Ding Ding, Dongjie Shi +13
Most AI projects start with a Python notebook running on a single laptop; however, one usually needs to go through a mountain of pains to scale it to handle larger dataset (for bot…
MiDaS: Representative Sampling from Real-world Hypergraphs
Minyoung Choe, Jaemin Yoo, Geon Lee +3
Graphs are widely used for representing pairwise interactions in complex systems. Since such real-world graphs are large and often evergrowing, sampling a small representative subg…