Julian Straub

ORCID

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 31

Top Venues

Massachusetts Institute of Technology, Cambridge, USA (PHD)

Education History

Massachusetts Institute of Technology, Cambridge, USA

PHD

Publications

Qiao Gu, Zhaoyang Lv, Duncan Frost, Simon Green, Julian Straub, Chris Sweeney
EgoLifter: Open-world 3D Segmentation for Egocentric Perception. CoRR (2024)
Julian Straub, Daniel DeTone, Tianwei Shen, Nan Yang, Chris Sweeney, Richard A. Newcombe
EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models. CoRR (2024)
Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. CoRR (2023)
Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulò, Richard A. Newcombe, Peter Kontschieder, Vasileios Balntas
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. CVPR (2023)
Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. ICCV (2023)
Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulò, Richard A. Newcombe, Peter Kontschieder, Vasileios Balntas
OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. CoRR (2023)
Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CVPR (2023)
Kiran Somasundaram, Jing Dong, Huixuan Tang, Julian Straub, Mingfei Yan, Michael Goesele, Jakob Julian Engel, Renzo De Nardi, Richard A. Newcombe
Project Aria: A New Tool for Egocentric Multi-Modal AI Research. CoRR (2023)
Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CoRR (2022)
Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CVPR Workshops (2022)
Garrick Brazil, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR (2022)
Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian D. Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe
ODAM: Object Detection, Association, and Mapping using Posed RGB Video. CoRR (2021)
Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe
ODAM: Object Detection, Association, and Mapping using Posed RGB Video. ICCV (2021)
Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe
FroDO: From Detections to 3D Objects. CVPR (2020)
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. ECCV (29) (2020)
Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR (2020)
Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe
FroDO: From Detections to 3D Objects. CoRR (2020)
Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. CoRR (2020)
Rohan Chabra, Julian Straub, Chris Sweeney, Richard A. Newcombe, Henry Fuchs
StereoDRNet: Dilated Residual Stereo Net. CoRR (2019)
Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
Habitat: A Platform for Embodied AI Research. CoRR (2019)
Jeong Joon Park, Peter Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CVPR (2019)
Julian Straub, Thomas Whelan, Lingni Ma, Yufan Chen, Erik Wijmans, Simon Green, Jakob J. Engel, Raul Mur-Artal, Carl 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
The Replica Dataset: A Digital Replica of Indoor Spaces. CoRR (2019)
Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs
StereoDRNet: Dilated Residual StereoNet. CVPR (2019)
Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun
Habitat: A Platform for Embodied AI Research. ICCV (2019)
Jeong Joon Park, Peter Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CoRR (2019)
Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. 40 (1) (2018)
Thomas Whelan, Michael Goesele, Steven J. Lovegrove, Julian Straub, Simon Green, Richard Szeliski, Steven Butterfield, Shobhit Verma, Richard A. Newcombe
Reconstructing scenes with mirror and glass surfaces. ACM Trans. Graph. 37 (4) (2018)
Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. CVPR (2017)
Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III
Direction-Aware Semi-Dense SLAM. CoRR (2017)
Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
Small-Variance Nonparametric Clustering on the Hypersphere. CoRR (2016)
Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. CoRR (2016)
Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III
A Dirichlet Process Mixture Model for Spherical Data. AISTATS (2015)
Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. NIPS (2015)
Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. CoRR (2015)
Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
Small-variance nonparametric clustering on the hypersphere. CVPR (2015)
Randi Cabezas, Julian Straub, John W. Fisher III
Semantically-Aware Aerial Reconstruction from Multi-modal Data. ICCV (2015)
Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III
Real-time manhattan world rotation estimation in 3D. IROS (2015)
Julian Straub, Sue Zheng, John W. Fisher III
Bayesian nonparametric modeling of driver behavior. Intelligent Vehicles Symposium (2014)
Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR (2014)

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Publication Activity (10 Years)

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Julian Straub