Julian Straub
20 papers · 2014–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (34) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Deep Specialist
(13)
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Dynamic Duo
(10)
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Keyword Champion
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Topic Evolution
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Trend Setter
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Century Club Β· Bronze
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Keyword Collector
(95)
Top co-authors
Research topics
Computer Vision
(13)
Analysis
(13)
Machine Learning
(11)
Artificial Intelligence
(6)
Optimization & Theory
(6)
Deep Learning
(5)
Core AI
(5)
Core Methods
(4)
Generation
(4)
Learning Types
(4)
Architectures
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Models
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(1)
Domain-Specific
(1)
Keywords
3d reconstruction
(4)
bayesian nonparametrics
(4)
3d vision
(2)
multi-view geometry
(2)
instance segmentation
(2)
point cloud
(2)
directional data
(2)
mixture model
(2)
3d object detection
(2)
scene understanding
(2)
domain generalization
(1)
3d shape generation
(1)
self-supervised learning
(1)
multimodal learning
(1)
disparity estimation
(1)
probabilistic modeling
(1)
semantic segmentation
(1)
conditional generation
(1)
object recognition
(1)
visual localization
(1)
Papers
LAMP: Localization Aware Multi-camera People Tracking in Metric 3D World
CVPR 2026
ShapeR: Robust Conditional 3D Shape Generation from Casual Captures
CVPR 2026
Human-in-the-Loop Local Corrections of 3D Scene Layouts via Infilling
ICCV 2025
Sonata: Self-Supervised Learning of Reliable Point Representations
CVPR 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
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
CVPR 2019
Habitat: A Platform for Embodied AI Research
ICCV 2019
StereoDRNet: Dilated Residual StereoNet
CVPR 2019
Efficient Global Point Cloud Alignment Using Bayesian Nonparametric Mixtures
CVPR 2017
A Dirichlet Process Mixture Model for Spherical Data
AISTATS 2015
Semantically-Aware Aerial Reconstruction From Multi-Modal Data
ICCV 2015
Small-Variance Nonparametric Clustering on the Hypersphere
CVPR 2015
Streaming, Distributed Variational Inference for Bayesian Nonparametrics
NeurIPS 2015
A Mixture of Manhattan Frames: Beyond the Manhattan World
CVPR 2014