2 citations · 3 across the 7 of their papers we have counts for
8 papers
Prism: Semi-Supervised Multi-View Stereo with Monocular Structure Priors
Alex Rich, Noah Stier, Pradeep Sen +1
The promise of unsupervised multi-view-stereo (MVS) is to leverage large unlabeled datasets, yet current methods underperform when training on difficult data, such as handheld smar…
Multimodal 3D Fusion and In-Situ Learning for Spatially Aware AI
Chengyuan Xu, Radha Kumaran, Noah Stier +2
Seamless integration of virtual and physical worlds in augmented reality benefits from the system semantically "understanding" the physical environment. AR research has long focuse…
FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction
Noah Stier, Anurag Ranjan, Alex Colburn +4
Recent works on 3D reconstruction from posed images have demonstrated that direct inference of scene-level 3D geometry without test-time optimization is feasible using deep neural…
LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses
Noah Stier, Baptiste Angles, Liang Yang +3
Dense 3D reconstruction from RGB images traditionally assumes static camera pose estimates. This assumption has endured, even as recent works have increasingly focused on real-time…
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…