Inkyu Shin
14 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (31)
π§¬
Topic Evolution
π€
Dynamic Duo
(12)
ποΈ
Keyword Collector
(63)
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Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Computer Vision
(11)
Machine Learning
(11)
Application Areas
(10)
Analysis
(9)
Learning Types Β· Machine Learning
(8)
Deep Learning
(7)
Learning Types Β· Deep Learning
(6)
Core Methods
(2)
Generation
(2)
Models
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Applications
(1)
Architectures
(1)
Core AI
(1)
Keywords
semantic segmentation
(7)
domain adaptation
(6)
unsupervised domain adaptation
(3)
image translation
(2)
test-time adaptation
(2)
object tracking
(2)
pseudo label
(2)
self-supervised learning
(2)
object pose estimation
(2)
unsupervised learning
(2)
multimodal learning
(2)
person re-identification
(1)
prototype learning
(1)
video understanding
(1)
style transfer
(1)
active learning
(1)
image-to-image translation
(1)
3d vision
(1)
text-to-image generation
(1)
pseudo labeling
(1)
Papers
Deeply Supervised Flow-Based Generative Models
ICCV 2025
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
CVPR 2024
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
WACV 2024
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
AAAI 2023
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
WACV 2023
MATE: Masked Autoencoders are Online 3D Test-Time Learners
ICCV 2023
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
CVPR 2023
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
CVPR 2022
UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation
CVPR 2022
LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
ICCV 2021
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
NeurIPS 2020
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
ECCV 2020
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
CVPR 2020
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
CVPR 2019