Seong-Gyun Jeong
10 papers · 2019–2024 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (22)
💎
Century Club · Bronze
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Keyword Collector
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Computer Vision
(6)
Machine Learning
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Analysis
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Core Methods
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Artificial Intelligence
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Core AI · Artificial Intelligence
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Domain-Specific
(2)
Learning Types · Machine Learning
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Deep Learning
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Mathematics & Optimization
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Core AI · Computer Vision
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Learning Types · Deep Learning
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Mathematics
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Optimization
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Keywords
depth estimation
(2)
3d reconstruction
(1)
pose estimation
(1)
adversarial learning
(1)
ordinal regression
(1)
domain adaptation
(1)
metric learning
(1)
change detection
(1)
visual similarity
(1)
self-supervised learning
(1)
attention mechanism
(1)
lane detection
(1)
representation learning
(1)
3d vision
(1)
monocular depth estimation
(1)
human pose estimation
(1)
graph construction
(1)
3d pose estimation
(1)
action classification
(1)
combinatorial optimization
(1)
Papers
Forbes: Face Obfuscation Rendering via Backpropagation Refinement Scheme
ECCV 2024
BAAM: Monocular 3D Pose and Shape Reconstruction With Bi-Contextual Attention Module and Attention-Guided Modeling
CVPR 2023
SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments
ICCV 2023
Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes
CVPR 2022
Self-supervised surround-view depth estimation with volumetric feature fusion
NeurIPS 2022
Harmonious Semantic Line Detection via Maximal Weight Clique Selection
CVPR 2021
Anchor Loss: Modulating Loss Scale Based on Prediction Difficulty
ICCV 2019
Did It Change? Learning to Detect Point-Of-Interest Changes for Proactive Map Updates
CVPR 2019
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation
ICCV 2019
Instance-Level Future Motion Estimation in a Single Image Based on Ordinal Regression
ICCV 2019