2 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.CV2021
Large-Scale Video Analytics through Object-Level Consolidation
Daniel Rivas, Francesc Guim, Jordà Polo +1
As the number of installed cameras grows, so do the compute resources required to process and analyze all the images captured by these cameras. Video analytics enables new use case…
cs.CV2021★ 1 cited
Towards Automatic Model Specialization for Edge Video Analytics
Daniel Rivas, Francesc Guim, Jordà Polo +3
Judging by popular and generic computer vision challenges, such as the ImageNet or PASCAL VOC, neural networks have proven to be exceptionally accurate in recognition tasks. Howeve…
cs.DC2020★ 2 cited
Disaggregating Non-Volatile Memory for Throughput-Oriented Genomics Workloads
Aaron Call, Jordà Polo, David Carrera +2
Massive exploitation of next-generation sequencing technologies requires dealing with both: huge amounts of data and complex bioinformatics pipelines. Computing architectures have…