Julian Straub

According to our database, Julian Straub authored at least 29 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2024

EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models.

Julian Straub, Daniel DeTone, Tianwei Shen, Nan Yang, Chris Sweeney, Richard A. Newcombe

CoRR, 2024

EgoLifter: Open-World 3D Segmentation for Egocentric Perception.

Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

Project Aria: A New Tool for Egocentric Multi-Modal AI Research.

Kiran Somasundaram, Jing Dong, Huixuan Tang, Julian Straub, Mingfei Yan, Michael Goesele, Jakob Julian Engel, Renzo De Nardi, Richard A. Newcombe

CoRR, 2023

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection.

Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub

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

OrienterNet: Visual Localization in 2D Public Maps with Neural Matching.

Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulò, Richard A. Newcombe, Peter Kontschieder, Vasileios Balntas

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild.

Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation.

Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe

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

2021

ODAM: Object Detection, Association, and Mapping using Posed RGB Video.

Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Analyzing Visual Representations in Embodied Navigation Tasks.

Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos

CoRR, 2020

Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction.

Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe

Proceedings of the Computer Vision - ECCV 2020, 2020

FroDO: From Detections to 3D Objects.

Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

The Replica Dataset: A Digital Replica of Indoor Spaces.

Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl Yuheng Ren, Shobhit Verma, Anton Clarkson, Mingfei Yan, Brian Budge, Yajie Yan, Xiaqing Pan, June Yon, Yuyang Zou, Kimberly Leon, Nigel Carter, Jesus Briales, Tyler Gillingham, Elias Mueggler, Luis Pesqueira, Manolis Savva, Dhruv Batra, Hauke M. Strasdat, Renzo De Nardi, Michael Goesele, Steven Lovegrove, Richard A. Newcombe

CoRR, 2019

StereoDRNet: Dilated Residual Stereo Net.

Rohan Chabra, Julian Straub, Chris Sweeney, Richard A. Newcombe, Henry Fuchs

CoRR, 2019

Habitat: A Platform for Embodied AI Research.

Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation.

Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

StereoDRNet: Dilated Residual StereoNet.

Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Reconstructing scenes with mirror and glass surfaces.

Thomas Whelan, Michael Goesele, Steven J. Lovegrove, Julian Straub, Simon Green, Richard Szeliski, Steven Butterfield, Shobhit Verma, Richard A. Newcombe

ACM Trans. Graph., 2018

The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals.

Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III

IEEE Trans. Pattern Anal. Mach. Intell., 2018

2017

Nonparametric directional perception.

Julian Straub

PhD thesis, 2017

Direction-Aware Semi-Dense SLAM.

Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III

CoRR, 2017

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures.

Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures.

Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III

CoRR, 2016

2015

Streaming, Distributed Variational Inference for Bayesian Nonparametrics.

Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Real-time manhattan world rotation estimation in 3D.

Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III

Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2015

Semantically-Aware Aerial Reconstruction from Multi-modal Data.

Randi Cabezas, Julian Straub, John W. Fisher III

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Small-variance nonparametric clustering on the hypersphere.

Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

A Dirichlet Process Mixture Model for Spherical Data.

Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III

Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

2014

Bayesian nonparametric modeling of driver behavior.

Julian Straub, Sue Zheng, John W. Fisher III

Proceedings of the 2014 IEEE Intelligent Vehicles Symposium Proceedings, 2014

A Mixture of Manhattan Frames: Beyond the Manhattan World.

Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014