Julian Straub - RankMe

48 papers A* 13A 2B 1Journal 27Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	NymeriaPlus: Enriching Nymeria Dataset with Additional Annotations and Data. CoRR Daniel DeTone, Federica Bogo, Eric-Tuan Le, Duncan P. Frost, Julian Straub, Yawar Siddiqui, Yuting Ye, Jakob J. Engel, Richard A. Newcombe, Lingni Ma
2026	J	`jnl`	ShapeR: Robust Conditional 3D Shape Generation from Casual Captures. CoRR Yawar Siddiqui, Duncan P. Frost, Samir Aroudj, Armen Avetisyan, Henry Howard-Jenkins, Daniel DeTone, Pierre Moulon, Qirui Wu, Zhengqin Li, Julian Straub, Richard A. Newcombe, Jakob J. Engel
2025	J	`jnl`	Aria Gen 2 Pilot Dataset. CoRR Chen Kong, James Fort, Aria Kang, Jonathan Wittmer, Simon Green, Tianwei Shen, Yipu Zhao, Cheng Peng, Gustavo Solaira, Andrew Berkovich, Nikhil Raina, Vijay Baiyya, Evgeniy Oleinik, Eric Huang, Fan Zhang, Julian Straub, Mark Schwesinger, Luis Pesqueira, Xiaqing Pan, Jakob Julian Engel, Carl Yuheng Ren, Mingfei Yan, Richard A. Newcombe
2025	J	`jnl`	DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos. CoRR Chieh Hubert Lin, Zhaoyang Lv, Songyin Wu, Zhen Xu, Thu Nguyen-Phuoc, Hung-Yu Tseng, Julian Straub, Numair Khan, Lei Xiao, Ming-Hsuan Yang, Yuheng Ren, Richard A. Newcombe, Zhao Dong, Zhengqin Li
2025	J	`jnl`	Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling. CoRR Christopher Xie, Armen Avetisyan, Henry Howard-Jenkins, Yawar Siddiqui, Julian Straub, Richard A. Newcombe, Vasileios Balntas, Jakob J. Engel
2025	A*	`conf`	Sonata: Self-Supervised Learning of Reliable Point Representations. CVPR Xiaoyang Wu, Daniel DeTone, Duncan P. Frost, Tianwei Shen, Chris Xie, Nan Yang, Jakob J. Engel, Richard A. Newcombe, Hengshuang Zhao, Julian Straub
2025	J	`jnl`	Sonata: Self-Supervised Learning of Reliable Point Representations. CoRR Xiaoyang Wu, Daniel DeTone, Duncan P. Frost, Tianwei Shen, Chris Xie, Nan Yang, Jakob J. Engel, Richard A. Newcombe, Hengshuang Zhao, Julian Straub
2024	J	`jnl`	EFM3D: A Benchmark for Measuring Progress Towards 3D Egocentric Foundation Models. CoRR Julian Straub, Daniel DeTone, Tianwei Shen, Nan Yang, Chris Sweeney, Richard A. Newcombe
2024	—	`conf`	EgoLifter: Open-World 3D Segmentation for Egocentric Perception. ECCV (43) Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney
2024	J	`jnl`	EgoLifter: Open-world 3D Segmentation for Egocentric Perception. CoRR Qiao Gu, Zhaoyang Lv, Duncan P. Frost, Simon Green, Julian Straub, Chris Sweeney
2023	A*	`conf`	Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CVPR Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
2023	A*	`conf`	OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. CVPR Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulò, Richard A. Newcombe, Peter Kontschieder, Vasileios Balntas
2023	J	`jnl`	OrienterNet: Visual Localization in 2D Public Maps with Neural Matching. CoRR Paul-Edouard Sarlin, Daniel DeTone, Tsun-Yi Yang, Armen Avetisyan, Julian Straub, Tomasz Malisiewicz, Samuel Rota Bulò, Richard A. Newcombe, Peter Kontschieder, Vasileios Balntas
2023	A*	`conf`	Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. ICCV Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub
2023	J	`jnl`	Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. CoRR Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub
2023	J	`jnl`	Project Aria: A New Tool for Egocentric Multi-Modal AI Research. CoRR Kiran K. Somasundaram, Jing Dong, Huixuan Tang, Julian Straub, Mingfei Yan, Michael Goesele, Jakob Julian Engel, Renzo De Nardi, Richard A. Newcombe
2022	—	`conf`	Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CVPR Workshops Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
2022	J	`jnl`	Nerfels: Renderable Neural Codes for Improved Camera Pose Estimation. CoRR Gil Avraham, Julian Straub, Tianwei Shen, Tsun-Yi Yang, Hugo Germain, Chris Sweeney, Vasileios Balntas, David Novotný, Daniel DeTone, Richard A. Newcombe
2022	J	`jnl`	Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. CoRR Garrick Brazil, Abhinav Kumar, Julian Straub, Nikhila Ravi, Justin Johnson, Georgia Gkioxari
2021	A*	`conf`	ODAM: Object Detection, Association, and Mapping using Posed RGB Video. ICCV Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe
2021	J	`jnl`	ODAM: Object Detection, Association, and Mapping using Posed RGB Video. CoRR Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian D. Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe
2020	J	`jnl`	Analyzing Visual Representations in Embodied Navigation Tasks. CoRR Erik Wijmans, Julian Straub, Dhruv Batra, Irfan Essa, Judy Hoffman, Ari Morcos
2020	—	`conf`	Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. ECCV (29) Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020	J	`jnl`	Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction. CoRR Rohan Chabra, Jan Eric Lenssen, Eddy Ilg, Tanner Schmidt, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020	A*	`conf`	FroDO: From Detections to 3D Objects. CVPR Martin Rünz, Kejie Li, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2020	J	`jnl`	FroDO: From Detections to 3D Objects. CoRR Kejie Li, Martin Rünz, Meng Tang, Lingni Ma, Chen Kong, Tanner Schmidt, Ian D. Reid, Lourdes Agapito, Julian Straub, Steven Lovegrove, Richard A. Newcombe
2019	A*	`conf`	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CVPR Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove
2019	J	`jnl`	DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. CoRR Jeong Joon Park, Peter R. Florence, Julian Straub, Richard A. Newcombe, Steven Lovegrove
2019	A*	`conf`	Habitat: A Platform for Embodied AI Research. ICCV Manolis Savva, Jitendra Malik, Devi Parikh, Dhruv Batra, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun
2019	J	`jnl`	Habitat: A Platform for Embodied AI Research. CoRR Manolis Savva, Abhishek Kadian, Oleksandr Maksymets, Yili Zhao, Erik Wijmans, Bhavana Jain, Julian Straub, Jia Liu, Vladlen Koltun, Jitendra Malik, Devi Parikh, Dhruv Batra
2019	J	`jnl`	StereoDRNet: Dilated Residual Stereo Net. CoRR Rohan Chabra, Julian Straub, Chris Sweeney, Richard A. Newcombe, Henry Fuchs
2019	A*	`conf`	StereoDRNet: Dilated Residual StereoNet. CVPR Rohan Chabra, Julian Straub, Christopher Sweeney, Richard A. Newcombe, Henry Fuchs
2019	J	`jnl`	The Replica Dataset: A Digital Replica of Indoor Spaces. CoRR 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
2018	J	`jnl`	Reconstructing scenes with mirror and glass surfaces. ACM Trans. Graph. Thomas Whelan, Michael Goesele, Steven J. Lovegrove, Julian Straub, Simon Green, Richard Szeliski, Steven Butterfield, Shobhit Verma, Richard A. Newcombe
2018	J	`jnl`	The Manhattan Frame Model - Manhattan World Inference in the Space of Surface Normals. IEEE Trans. Pattern Anal. Mach. Intell. Julian Straub, Oren Freifeld, Guy Rosman, John J. Leonard, John W. Fisher III
2017	J	`jnl`	Direction-Aware Semi-Dense SLAM. CoRR Julian Straub, Randi Cabezas, John J. Leonard, John W. Fisher III
2017	A*	`conf`	Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. CVPR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2017	—	`—`	Nonparametric directional perception. Julian Straub
2016	J	`jnl`	Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. CoRR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2016	J	`jnl`	Small-Variance Nonparametric Clustering on the Hypersphere. CoRR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2015	A	`conf`	A Dirichlet Process Mixture Model for Spherical Data. AISTATS Julian Straub, Jason Chang, Oren Freifeld, John W. Fisher III
2015	A	`conf`	Real-time manhattan world rotation estimation in 3D. IROS Julian Straub, Nishchal Bhandari, John J. Leonard, John W. Fisher III
2015	A*	`conf`	Semantically-Aware Aerial Reconstruction from Multi-modal Data. ICCV Randi Cabezas, Julian Straub, John W. Fisher III
2015	A*	`conf`	Small-variance nonparametric clustering on the hypersphere. CVPR Julian Straub, Trevor Campbell, Jonathan P. How, John W. Fisher III
2015	—	`conf`	Streaming, Distributed Variational Inference for Bayesian Nonparametrics. NIPS Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
2015	J	`jnl`	Streaming, Distributed Variational Inference for Bayesian Nonparametrics. CoRR Trevor Campbell, Julian Straub, John W. Fisher III, Jonathan P. How
2014	A*	`conf`	A Mixture of Manhattan Frames: Beyond the Manhattan World. CVPR Julian Straub, Guy Rosman, Oren Freifeld, John J. Leonard, John W. Fisher III
2014	B	`conf`	Bayesian nonparametric modeling of driver behavior. Intelligent Vehicles Symposium Julian Straub, Sue Zheng, John W. Fisher III