Michael Schmidt
5 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(17)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(5)
Computer Vision
(4)
Analysis
(4)
Learning Types · Machine Learning
(3)
Artificial Intelligence
(2)
Domain-Specific
(2)
Deep Learning
(1)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Learning Paradigms
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory
(1)
Processing
(1)
Keywords
3d object detection
(2)
active learning
(2)
adversarial learning
(1)
semi-supervised learning
(1)
domain generalization
(1)
variational inference
(1)
structure learning
(1)
gradient-based optimization
(1)
data augmentation
(1)
point cloud
(1)
depth estimation
(1)
cross-modal learning
(1)
adversarial augmentation
(1)
instance segmentation
(1)
mixture model
(1)
out-of-distribution detection
(1)
panoptic segmentation
(1)
incomplete data
(1)
loss weighting
(1)
multi-task network
(1)
Papers
Active Learning With Task Consistency and Diversity in Multi-Task Networks
WACV 2024
Monocular 3D Object Detection With LiDAR Guided Semi Supervised Active Learning
WACV 2024
Segmenting Known Objects and Unseen Unknowns without Prior Knowledge
ICCV 2023
3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection
CVPR 2022
Scalable Structure Learning of Continuous-Time Bayesian Networks from Incomplete Data
NeurIPS 2019