default search action
Julian Straub
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
- [c19]Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney:
EgoLifter: Open-World 3D Segmentation for Egocentric Perception. ECCV (43) 2024: 382-400 - [i19]Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney:
EgoLifter: Open-world 3D Segmentation for Egocentric Perception. CoRR abs/2403.18118 (2024) - [i18]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 abs/2406.10224 (2024) - 2023
- [c18]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: 13154-13164 - [c17]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: 21632-21642 - [c16]Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub:
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. ICCV 2023: 18324-18334 - [i17]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 abs/2304.02009 (2023) - [i16]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 abs/2308.13561 (2023) - [i15]Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub:
Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. CoRR abs/2310.01401 (2023) - 2022
- [c15]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: 5057-5066 - [i14]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 abs/2206.01916 (2022) - [i13]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. CoRR abs/2207.10660 (2022) - 2021
- [c14]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: 5978-5988 - [i12]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 abs/2108.10165 (2021) - 2020
- [c13]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: 14708-14717 - [c12]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: 608-625 - [i11]Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos:
Analyzing Visual Representations in Embodied Navigation Tasks. CoRR abs/2003.05993 (2020) - [i10]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 abs/2003.10983 (2020) - [i9]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 abs/2005.05125 (2020)
2010 – 2019
- 2019
- [c11]Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove:
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CVPR 2019: 165-174 - [c10]Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs:
StereoDRNet: Dilated Residual StereoNet. CVPR 2019: 11786-11795 - [c9]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: 9338-9346 - [i8]Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove:
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CoRR abs/1901.05103 (2019) - [i7]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 abs/1904.01201 (2019) - [i6]Rohan Chabra, Julian Straub, Chris Sweeney, Richard A. Newcombe, Henry Fuchs:
StereoDRNet: Dilated Residual Stereo Net. CoRR abs/1904.02251 (2019) - [i5]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:
The Replica Dataset: A Digital Replica of Indoor Spaces. CoRR abs/1906.05797 (2019) - 2018
- [j2]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): 235-249 (2018) - [j1]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): 102 (2018) - 2017
- [b1]Julian Straub:
Nonparametric directional perception. Massachusetts Institute of Technology, Cambridge, USA, 2017 - [c8]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. CVPR 2017: 2403-2412 - [i4]Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III:
Direction-Aware Semi-Dense SLAM. CoRR abs/1709.05774 (2017) - 2016
- [i3]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. CoRR abs/1603.04868 (2016) - [i2]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Small-Variance Nonparametric Clustering on the Hypersphere. CoRR abs/1607.06407 (2016) - 2015
- [c7]Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III:
A Dirichlet Process Mixture Model for Spherical Data. AISTATS 2015 - [c6]Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III:
Small-variance nonparametric clustering on the hypersphere. CVPR 2015: 334-342 - [c5]Randi Cabezas, Julian Straub, John W. Fisher III:
Semantically-Aware Aerial Reconstruction from Multi-modal Data. ICCV 2015: 2156-2164 - [c4]Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III:
Real-time manhattan world rotation estimation in 3D. IROS 2015: 1913-1920 - [c3]Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How:
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. NIPS 2015: 280-288 - [i1]Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How:
Streaming, Distributed Variational Inference for Bayesian Nonparametrics. CoRR abs/1510.09161 (2015) - 2014
- [c2]Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III:
A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR 2014: 3770-3777 - [c1]Julian Straub, Sue Zheng, John W. Fisher III:
Bayesian nonparametric modeling of driver behavior. Intelligent Vehicles Symposium 2014: 932-938
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-23 21:27 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint