Rene Schuster
8 papers · 2019–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
🐣
Hot Topic Early Bird
Top co-authors
Research topics
Computer Vision
(7)
Analysis
(6)
Deep Learning
(4)
Machine Learning
(4)
Processing
(4)
Learning Types · Machine Learning
(3)
Domain-Specific
(2)
Security & Privacy
(1)
Application Areas · Deep Learning
(1)
Application Areas · Machine Learning
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Deep Learning
(1)
Privacy
(1)
Keywords
scene flow
(3)
semantic segmentation
(2)
optical flow
(2)
event camera
(2)
autonomous driving
(2)
catastrophic forgetting
(2)
privacy preservation
(1)
class-incremental learning
(1)
sensor fusion
(1)
stereo matching
(1)
occlusion handling
(1)
optical flow estimation
(1)
data anonymization
(1)
adversarial defense
(1)
weight transfer
(1)
image interpolation
(1)
dilated convolution
(1)
feature descriptor
(1)
depth map
(1)
depth completion
(1)
Papers
LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration
CVPR 2026
AnonyNoise: Anonymizing Event Data with Smart Noise to Outsmart Re-Identification and Preserve Privacy
WACV 2025
Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-Based Semantic Segmentation
WACV 2025
CLEO: Continual Learning of Evolving Ontologies
ECCV 2024
Attribution-Aware Weight Transfer: A Warm-Start Initialization for Class-Incremental Semantic Segmentation
WACV 2023
A Deep Temporal Fusion Framework for Scene Flow Using a Learnable Motion Model and Occlusions
WACV 2021
SSGP: Sparse Spatial Guided Propagation for Robust and Generic Interpolation
WACV 2021
SDC - Stacked Dilated Convolution: A Unified Descriptor Network for Dense Matching Tasks
CVPR 2019