Julian Straub

18 papers · 2014–2025 · 5 conferences · across top CS/AI conferences

Achievements

+8 more ↓

🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🏃 Academic Marathon (11) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge

🗺️ Taxonomy Completionist (31) 🧭 Keyword Pioneer 🧬 Topic Evolution 🔬 Deep Specialist (11) 🏆 Keyword Champion 💎 Century Club (18) 📈 Trend Setter 🗃️ Keyword Collector (85)

Conferences

CVPR (9) ICCV (5) ECCV (2) AISTATS (1) NIPS (1)

Top co-authors

Richard Newcombe (8) John W. Fisher III (5) Trevor Campbell (3) Daniel DeTone (3) Steven Lovegrove (3) Kejie Li (2) Oren Freifeld (2) Rohan Chabra (2) Chris Sweeney (2) Armen Avetisyan (2)

Keywords

bayesian nonparametrics (4) 3d reconstruction (4) point cloud (2) directional datum (2) 3d object detection (2) mixture model (2) 3d vision (2) multi-view geometry (2) instance segmentation (2) scene understanding (2) domain generalization (1) self-supervised learning (1) spherical data (1) disparity estimation (1) probabilistic modeling (1) semantic segmentation (1) object recognition (1) multi-modal learning (1) visual localization (1) pose estimation (1)

Papers

Sonata: Self-Supervised Learning of Reliable Point Representations CVPR 2025 Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling ICCV 2025 EgoLifter: Open-world 3D Segmentation for Egocentric Perception ECCV 2024 Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild CVPR 2023 OrienterNet: Visual Localization in 2D Public Maps With Neural Matching CVPR 2023 Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection ICCV 2023 ODAM: Object Detection, Association, and Mapping Using Posed RGB Video ICCV 2021 Deep Local Shapes: Learning Local SDF Priors for Detailed 3D Reconstruction ECCV 2020 FroDO: From Detections to 3D Objects CVPR 2020 StereoDRNet: Dilated Residual StereoNet CVPR 2019 Habitat: A Platform for Embodied AI Research ICCV 2019 DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation CVPR 2019 Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures CVPR 2017 Semantically-Aware Aerial Reconstruction From Multi-Modal Data ICCV 2015 A Dirichlet Process Mixture Model for Spherical Data AISTATS 2015 Small-Variance Nonparametric Clustering on the Hypersphere CVPR 2015 Streaming, Distributed Variational Inference for Bayesian Nonparametrics NIPS 2015 A Mixture of Manhattan Frames: Beyond the Manhattan World CVPR 2014