11 citations · 38 across the 15 of their papers we have counts for
17 papers
Deep Appearance Prefiltering
Steve Bako, Pradeep Sen, Anton Kaplanyan
Physically based rendering of complex scenes can be prohibitively costly with a potentially unbounded and uneven distribution of complexity across the rendered image. The goal of a…
Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images
Chengyuan Xu, Boning Dong, Noah Stier +4
We introduce an interactive image segmentation and visualization framework for identifying, inspecting, and editing tiny objects (just a few pixels wide) in large multi-megapixel h…
Remarks on weak-strong uniqueness for two-fluid model
Yang Li, Ewelina Zatorska
This paper concerns with the compressible two-fluid model with algebraic pressure closure. We prove a conditional weak-strong uniqueness principle, meaning that a finite energy wea…
Efficient Big Text Data Clustering Algorithms using Hadoop and Spark
Sergios Gerakidis, Sofia Megarchioti, Basilis Mamalis
Document clustering is a traditional, efficient and yet quite effective, text mining technique when we need to get a better insight of the documents of a collection that could be g…
Sparse Fusion for Multimodal Transformers
Yi Ding, Alex Rich, Mason Wang +4
Multimodal classification is a core task in human-centric machine learning. We observe that information is highly complementary across modalities, thus unimodal information can be…
Cosmic-CoNN: A Cosmic Ray Detection Deep-Learning Framework, Dataset, and Toolkit
Chengyuan Xu, Curtis McCully, Boning Dong +2
Rejecting cosmic rays (CRs) is essential for the scientific interpretation of CCD-captured data, but detecting CRs in single-exposure images has remained challenging. Conventional…