Noah Stier

According to our database, Noah Stier authored at least 9 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction.

Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses.

Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Weakly-Supervised Convolutional Neural Networks for Vessel Segmentation in Cerebral Angiography.

Arvind Vepa, Andrew Choi, Noor Nakhaei, Wonjun Lee, Noah Stier, Andrew Vu, Greyson Jenkins, Xiaoyan Yang, Manjot Shergill, Moira Desphy, Kevin Delao, Mia Levy, Cristopher Garduno, Lacy Nelson, Wandi Liu, Fan Hung, Fabien Scalzo

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images.

Chengyuan Xu, Boning Dong, Noah Stier, Curtis McCully, D. Andrew Howell, Pradeep Sen, Tobias Höllerer

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Sparse Fusion for Multimodal Transformers.

Yi Ding, Alex Rich, Mason Wang, Noah Stier, Matthew A. Turk, Pradeep Sen, Tobias Höllerer

CoRR, 2021

VoRTX: Volumetric 3D Reconstruction With Transformers for Voxelwise View Selection and Fusion.

Noah Stier, Alexander Rich, Pradeep Sen, Tobias Höllerer

Proceedings of the International Conference on 3D Vision, 2021

3DVNet: Multi-View Depth Prediction and Volumetric Refinement.

Alexander Rich, Noah Stier, Pradeep Sen, Tobias Höllerer

Proceedings of the International Conference on 3D Vision, 2021

2015

Detection of hyperperfusion on arterial spin labeling using deep learning.

Nicholas Vincent, Noah Stier, Songlin Yu, David S. Liebeskind, Danny J. J. Wang, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015

Deep learning of tissue fate features in acute ischemic stroke.

Noah Stier, Nicholas Vincent, David S. Liebeskind, Fabien Scalzo

Proceedings of the 2015 IEEE International Conference on Bioinformatics and Biomedicine, 2015