A Mixture of Manhattan Frames: Beyond the Manhattan World. - Julian Straub; Guy Rosman; Oren Freifeld; John J. Leonard; John W. Fisher III (CVPR, 2014)

Bayesian nonparametric modeling of driver behavior. - Julian Straub; Sue Zheng; John W. Fisher III (Intelligent Vehicles Symposium, 2014)

A Dirichlet Process Mixture Model for Spherical Data. - Julian Straub; Jason Chang 001; Oren Freifeld; John W. Fisher III (AISTATS, 2015)

Small-variance nonparametric clustering on the hypersphere. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CVPR, 2015)

Semantically-Aware Aerial Reconstruction from Multi-modal Data. - Randi Cabezas; Julian Straub; John W. Fisher III (ICCV, 2015)

Real-time manhattan world rotation estimation in 3D. - Julian Straub; Nishchal Bhandari; John J. Leonard; John W. Fisher III (IROS, 2015)

Streaming, Distributed Variational Inference for Bayesian Nonparametrics. - Trevor Campbell; Julian Straub; John W. Fisher III; Jonathan P. How (NIPS, 2015)

Efficient Globally Optimal Point Cloud Alignment using Bayesian Nonparametric Mixtures. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CoRR, 2016)

Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures. - Julian Straub; Trevor Campbell; Jonathan P. How; John W. Fisher III (CVPR, 2017)

Direction-Aware Semi-Dense SLAM. - Julian Straub; Randi Cabezas; John J. Leonard; John W. Fisher III (CoRR, 2017)

Nonparametric directional perception. - Julian Straub (2017)

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)

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)

StereoDRNet: Dilated Residual StereoNet. - Rohan Chabra; Julian Straub; Christopher Sweeney; Richard A. Newcombe; Henry Fuchs (CVPR, 2019)

DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation. - Jeong Joon Park; Peter R. Florence; Julian Straub; Richard A. Newcombe; Steven Lovegrove (CVPR, 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 (ICCV, 2019)

StereoDRNet: Dilated Residual Stereo Net. - Rohan Chabra; Julian Straub; Chris Sweeney; Richard A. Newcombe; Henry Fuchs (CoRR, 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; et al. (CoRR, 2019)

FroDO: From Detections to 3D Objects. - Martin Rünz; Kejie Li; Meng Tang 001; Lingni Ma; Chen Kong; Tanner Schmidt; Ian D. Reid 001; Lourdes Agapito; Julian Straub; Steven Lovegrove; Richard A. Newcombe (CVPR, 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 (ECCV (29), 2020)

Analyzing Visual Representations in Embodied Navigation Tasks. - Erik Wijmans; Julian Straub; Dhruv Batra; Irfan Essa; Judy Hoffman; Ari Morcos (CoRR, 2020)

ODAM: Object Detection, Association, and Mapping using Posed RGB Video. - Kejie Li; Daniel DeTone; Steven Chen; Minh Vo; Ian Reid 001; Hamid Rezatofighi; Chris Sweeney; Julian Straub; Richard A. Newcombe (ICCV, 2021)

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 (CVPR Workshops, 2022)

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild. - Garrick Brazil; Abhinav Kumar 004; Julian Straub; Nikhila Ravi; Justin Johnson 001; Georgia Gkioxari (CVPR, 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 (CVPR, 2023)

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. - Yiming Xie; Huaizu Jiang; Georgia Gkioxari; Julian Straub (ICCV, 2023)

Project Aria: A New Tool for Egocentric Multi-Modal AI Research. - Kiran K. Somasundaram; Jing Dong 002; Huixuan Tang; Julian Straub; Mingfei Yan; Michael Goesele; Jakob Julian Engel; Renzo De Nardi; Richard A. Newcombe (CoRR, 2023)

EgoLifter: Open-World 3D Segmentation for Egocentric Perception. - Qiao Gu; Zhaoyang Lv; Duncan P. Frost; Simon Green; Julian Straub; Chris Sweeney (ECCV (43), 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)

Sonata: Self-Supervised Learning of Reliable Point Representations. - Xiaoyang Wu 002; Daniel DeTone; Duncan P. Frost; Tianwei Shen; Chris Xie; Nan Yang; Jakob J. Engel; Richard A. Newcombe; Hengshuang Zhao; Julian Straub (CVPR, 2025)

Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling. - Christopher Xie; Armen Avetisyan; Henry Howard-Jenkins; Yawar Siddiqui; Julian Straub; Richard A. Newcombe; Vasileios Balntas; Jakob J. Engel (CoRR, 2025)

DGS-LRM: Real-Time Deformable 3D Gaussian Reconstruction From Monocular Videos. - Chieh Hubert Lin; Zhaoyang Lv; Songyin Wu; Zhen Xu; Thu Nguyen-Phuoc; Hung-Yu Tseng; Julian Straub; Numair Khan; Lei Xiao; Ming-Hsuan Yang 001; Yuheng Ren; Richard A. Newcombe; et al. (CoRR, 2025)