Shin, Inkyu
- MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation
2022/04/27 by Inkyu Shin, Shin, Inkyu, Yi–Hsuan Tsai +13 · 10 citations
Computer Science · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Multimodal Machine Learning Applications
- LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation
2021/08/12 by Inkyu Shin, Dong-Jin Kim, Shin, Inkyu +9 · 6 citations
Computer Science · Medicine · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #COVID-19 diagnosis using AI
- Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation
2021/10/08 by Park, KwanYong, Woo, Sanghyun, Shin, Inkyu +1 · 4 citations
#Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- MATE: Masked Autoencoders are Online 3D Test-Time Learners
2022/11/21 by M. Jehanzeb Mirza, Mirza, M. Jehanzeb, Inkyu Shin +19 · 4 citations
Computer Science · Engineering · #3D Shape Modeling and Analysis #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition
- Image-to-Image Translation via Group-wise Deep Whitening-and-Coloring\n Transformation
2018/12/24 by Wonwoong Cho, Cho, Wonwoong, Sungha Choi +6 · 2 citations
Biochemistry, Genetics and Molecular Biology · Computer Science · #Cancer-related molecular mechanisms research #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Generative Adversarial Networks and Image Synthesis
- Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation
2022/12/16 by Sungsu Hur, Inkyu Shin, Hur, Sungsu +7 · 2 citations
Computer Science · #Domain Adaptation and Few-Shot Learning
- Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation
2023/04/10 by Inkyu Shin, Shin, Inkyu, Dahun Kim +15 · 2 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Video Surveillance and Tracking Methods #Visual Attention and Saliency Detection
- TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation
2023/03/29 by Taeyeop Lee, Jonathan Tremblay, Lee, Taeyeop +15 · 2 citations
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Human Pose and Action Recognition #Robot Manipulation and Learning
- Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision
2020/04/16 by Pan, Fei, Shin, Inkyu, Rameau, Francois +2 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Robotics (cs.RO)
- Two-phase Pseudo Label Densification for Self-training based Domain Adaptation
2020/12/09 by Shin, Inkyu, Woo, Sanghyun, Pan, Fei +1 · 1 citation
#Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences
- UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation
2021/11/24 by Taeyeop Lee, Lee, Taeyeop, Byeong-Uk Lee +11 · 1 citation
Computer Science · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Hand Gesture Recognition Systems #Human Pose and Action Recognition #Robot Manipulation and Learning
- MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark
2024/03/29 by Sanghyun Woo, Woo, Sanghyun, Kwanyong Park +7 · 1 citation
Engineering · Computer Science · #Infrared Target Detection Methodologies #Video Surveillance and Tracking Methods #Satellite Image Processing and Photogrammetry