Shin, Inkyu

14 publications

ICCV 2025 Deeply Supervised Flow-Based Generative Models Inkyu Shin, Chenglin Yang, Liang-Chieh Chen
TMLR 2025 Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian Splatting Inkyu Shin, Qihang Yu, Xiaohui Shen, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
TMLR 2024 A Simple Video Segmenter by Tracking Objects Along Axial Trajectories Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan Yuille, Xiaohui Shen, Liang-Chieh Chen
CVPR 2024 MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark Sanghyun Woo, Kwanyong Park, Inkyu Shin, Myungchul Kim, In So Kweon
WACV 2024 Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation Inkyu Shin, Dahun Kim, Qihang Yu, Jun Xie, Hong-Seok Kim, Bradley Green, In So Kweon, Kuk-Jin Yoon, Liang-Chieh Chen
AAAI 2023 Bidirectional Domain Mixup for Domain Adaptive Semantic Segmentation Daehan Kim, Minseok Seo, Kwanyong Park, Inkyu Shin, Sanghyun Woo, In So Kweon, Dong-Geol Choi
WACV 2023 Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation Sungsu Hur, Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon
ICCV 2023 MATE: Masked Autoencoders Are Online 3D Test-Time Learners M. Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof
CVPR 2023 TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation Taeyeop Lee, Jonathan Tremblay, Valts Blukis, Bowen Wen, Byeong-Uk Lee, Inkyu Shin, Stan Birchfield, In So Kweon, Kuk-Jin Yoon
CVPR 2022 MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon
CVPR 2022 UDA-COPE: Unsupervised Domain Adaptation for Category-Level Object Pose Estimation Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon
ICCV 2021 LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation Inkyu Shin, Dong-Jin Kim, Jae Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon
NeurIPS 2020 Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon
ECCV 2020 Two-Phase Pseudo Label Densification for Self-Training Based Domain Adaptation Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon