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20212024
most citedSparse Fusion for Multimodal Transformers

2 citations · 3 across the 7 of their papers we have counts for

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cs.CV2024

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…

cs.CV2023

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…

cs.CV2023

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…

cs.CV2022★ 1 cited

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…

cs.CV2021★ 2 cited

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…