Inkyu Shin

According to our database, Inkyu Shin authored at least 20 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Simple Video Segmenter by Tracking Objects Along Axial Trajectories.

Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Alan L. Yuille, Xiaohui Shen, Liang-Chieh Chen

Trans. Mach. Learn. Res., 2024

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

CoRR, 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

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark.

Sanghyun Woo, Kwanyong Park, Inkyu Shin, Myungchul Kim, In So Kweon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Test-Time Adaptation in the Dynamic World With Compound Domain Knowledge Management.

Junha Song, Kwanyong Park, Inkyu Shin, Sanghyun Woo, Chaoning Zhang, In So Kweon

IEEE Robotics Autom. Lett., November, 2023

MaXTron: Mask Transformer with Trajectory Attention for Video Panoptic Segmentation.

Ju He, Qihang Yu, Inkyu Shin, Xueqing Deng, Xiaohui Shen, Alan L. Yuille, Liang-Chieh Chen

CoRR, 2023

Learning Classifiers of Prototypes and Reciprocal Points for Universal Domain Adaptation.

Sungsu Hur, Inkyu Shin, Kwanyong Park, Sanghyun Woo, In So Kweon

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

MATE: Masked Autoencoders are Online 3D Test-Time Learners.

Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof

Proceedings of the IEEE/CVF International Conference on Computer Vision, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

CD-TTA: Compound Domain Test-time Adaptation for Semantic Segmentation.

Junha Song, KwanYong Park, Inkyu Shin, Sanghyun Woo, In So Kweon

CoRR, 2022

Moving from 2D to 3D: Volumetric Medical Image Classification for Rectal Cancer Staging.

Joohyung Lee, Jieun Oh, Inkyu Shin, You-sung Kim, Dae Kyung Sohn, Tae-sung Kim, In So Kweon

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Unsupervised Domain Adaptation for Video Semantic Segmentation.

Inkyu Shin, KwanYong Park, Sanghyun Woo, In So Kweon

CoRR, 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

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Discover, Hallucinate, and Adapt: Open Compound Domain Adaptation for Semantic Segmentation.

KwanYong Park, Sanghyun Woo, Inkyu Shin, In So Kweon

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Two-Phase Pseudo Label Densification for Self-training Based Domain Adaptation.

Inkyu Shin, Sanghyun Woo, Fei Pan, In So Kweon

Proceedings of the Computer Vision - ECCV 2020, 2020

Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision.

Fei Pan, Inkyu Shin, François Rameau, Seokju Lee, In So Kweon

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Image-To-Image Translation via Group-Wise Deep Whitening-And-Coloring Transformation.

Wonwoong Cho, Sungha Choi, David Keetae Park, Inkyu Shin, Jaegul Choo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019