Seokju Lee
9 papers · 2017–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22) 🐣 Hot Topic Early Bird
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The Questioner
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Research topics
Computer Vision
(5)
Deep Learning
(5)
Machine Learning
(5)
Analysis
(5)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(3)
Artificial Intelligence
(2)
Models
(2)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Paradigms
(1)
Optimization & Theory
(1)
Keywords
self-supervised learning
(3)
optical flow
(2)
semantic segmentation
(1)
metric learning
(1)
variational inference
(1)
domain adaptation
(1)
embedding space
(1)
motion estimation
(1)
depth estimation
(1)
model architecture
(1)
monocular depth estimation
(1)
image translation
(1)
instance segmentation
(1)
neural rendering
(1)
synthetic data
(1)
residual network
(1)
satellite image
(1)
geometric consistency
(1)
gradient propagation
(1)
ego-motion estimation
(1)
Papers
LNEM: Lunar Neural Elevation Model
CVPR 2026
ML-BPM: Multi-Teacher Learning with Bidirectional Photometric Mixing for Open Compound Domain Adaptation in Semantic Segmentation
ECCV 2022
Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation
ICCV 2021
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
AAAI 2021
ResNet or DenseNet? Introducing Dense Shortcuts to ResNet
WACV 2021
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
CVPR 2020
Variational Prototyping-Encoder: One-Shot Learning With Prototypical Images
CVPR 2019
Pixel-Level Matching for Video Object Segmentation Using Convolutional Neural Networks
ICCV 2017
VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition
ICCV 2017