Inkyu Shin
14 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
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ICCV (3)
WACV (2)
AAAI (1)
ECCV (1)
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Keywords
semantic segmentation
(7)
domain adaptation
(6)
unsupervised domain adaptation
(3)
image translation
(2)
multi-modal learning
(2)
object tracking
(2)
pseudo label
(2)
unsupervised learning
(2)
object pose estimation
(2)
test-time adaptation
(2)
self-supervised 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
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
WACV 2024
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
CVPR 2024
MATE: Masked Autoencoders are Online 3D Test-Time Learners
ICCV 2023
Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation
AAAI 2023
Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
WACV 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
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision
CVPR 2020
Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
NIPS 2020
Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
ECCV 2020
Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation
CVPR 2019