Wolfram Burgard
26 papers · 2005–2025 · 9 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (20) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (9) ๐ฃ Hot Topic Early Bird
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Conference Polyglot
(9)
๐
Academic Marathon
(20)
๐งญ
Keyword Pioneer
๐งฌ
Topic Evolution
๐
Keyword Champion
(2)
๐๏ธ
Keyword Collector
(112)
๐
Conference Pioneer
๐
Century Club
(26)
๐ฅ
Unstoppable
(6)
๐
Trend Setter
โก
Prolific Year
(5)
Conferences
RSS (13)
CORL (4)
CVPR (3)
AISTATS (1)
ECCV (1)
ICCV (1)
ICLR (1)
IJCAI (1)
WACV (1)
Top co-authors
Keywords
depth estimation
(3)
simultaneous localization and mapping
(2)
gaussian process
(2)
mobile robot
(2)
semantic segmentation
(2)
monocular depth
(2)
point cloud
(2)
hierarchical policy
(2)
object detection
(2)
transfer learning
(1)
variational inference
(1)
robot navigation
(1)
catastrophic forgetting
(1)
domain adaptation
(1)
neural network pruning
(1)
robotic manipulation
(1)
imitation learning
(1)
continual learning
(1)
gradient-based optimization
(1)
structure learning
(1)
Papers
Articulated Object Estimation in the Wild
CORL 2025
LiDAR Registration with Visual Foundation Models
RSS 2025
DiWA: Diffusion Policy Adaptation with World Models
CORL 2025
Hierarchical Open-Vocabulary 3D Scene Graphs for Language-Grounded Robot Navigation
RSS 2024
LetsMap: Unsupervised Representation Learning for Label-Efficient Semantic BEV Mapping
ECCV 2024
CoDEPS: Online Continual Learning for Depth Estimation and Panoptic Segmentation
RSS 2023
Learning and Aggregating Lane Graphs for Urban Automated Driving
CVPR 2023
SkyEye: Self-Supervised Bird's-Eye-View Semantic Mapping Using Monocular Frontal View Images
CVPR 2023
POV-SLAM: Probabilistic Object-Aware Variational SLAM in Semi-Static Environments
RSS 2023
Dynamic Update-to-Data Ratio: Minimizing World Model Overfitting
ICLR 2023
Latent Plans for Task-Agnostic Offline Reinforcement Learning
CORL 2022
TrackletMapper: Ground Surface Segmentation and Mapping from Traffic Participant Trajectories
CORL 2022
Holistic Filter Pruning for Efficient Deep Neural Networks
WACV 2021
Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
CVPR 2021
Learning To Track With Object Permanence
ICCV 2021
Controlling Contact-Rich Manipulation Under Partial Observability
RSS 2020
Inverse Reinforcement Learning with Simultaneous Estimation of Rewards and Dynamics
AISTATS 2016
Recursive Decentralized Collaborative Localization for Sparsely Communicating Robots
RSS 2016
Nonlinear Graph Sparsification for SLAM
RSS 2014
Learning Probabilistic Models for Mobile Manipulation Robots
IJCAI 2013
Feature-Based Prediction of Trajectories for Socially Compliant Navigation
RSS 2012
Nonparametric Bayesian Models for Unsupervised Scene Analysis and Reconstruction
RSS 2012
Gas Distribution Modeling using Sparse Gaussian Process Mixture Models
RSS 2008
Adaptive Body Scheme Models for Robust Robotic Manipulation
RSS 2008
Classifying Dynamic Objects: An Unsupervised Learning Approach
RSS 2008
Information Gain-based Exploration Using Rao-Blackwellized Particle Filters
RSS 2005