Sanghun Jung
9 papers · 2021–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (21) π£ Hot Topic Early Bird π Renaissance Researcher (5)
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Research topics
Machine Learning
(7)
Artificial Intelligence
(5)
Computer Vision
(5)
Analysis
(4)
Core AI
(4)
Deep Learning
(3)
Application Areas
(3)
Learning Types
(3)
Domain-Specific
(2)
Techniques
(2)
Natural Language Processing
(1)
Reinforcement Learning
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Robotics
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Applications Β· Robotics
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Applications Β· Reinforcement Learning
(1)
Keywords
semantic segmentation
(3)
vision-language model
(2)
multimodal learning
(2)
domain generalization
(1)
anomaly detection
(1)
open-vocabulary segmentation
(1)
domain adaptation
(1)
policy learning
(1)
conditional generation
(1)
3d scene understanding
(1)
unsupervised domain adaptation
(1)
domain randomization
(1)
neural radiance field
(1)
test-time adaptation
(1)
transfer learning
(1)
zero-shot reinforcement learning
(1)
distribution alignment
(1)
representation space
(1)
multimodal model
(1)
feature alignment
(1)
Papers
Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
ICCV 2025
Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
CoRL 2025
Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics
CoRL 2025
Zero-shot 3D Question Answering via Voxel-based Dynamic Token Compression
CVPR 2025
CAFA: Class-Aware Feature Alignment for Test-Time Adaptation
ICCV 2023
CG-NeRF: Conditional Generative Neural Radiance Fields for 3D-Aware Image Synthesis
WACV 2023
LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
ICCV 2023
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
CVPR 2021
Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation
ICCV 2021