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Showing results 1 to 5 of 5

1
MATE: Masked Autoencoders are Online 3D Test-Time Learners

Shin, Inkyu; Yoon, Kuk-Jin; Choe, Jaesung; Kweon, In-So; Wei, Lin; Andreas, Schriebl; Mateusz, Kozinski; et al, International Conference on Computer Vision (ICCV) 2023, International Conference on Computer Vision (ICCV) 2023, 2023-10-04

2
MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation

Shin, Inkyu; Tsai, Yi-Hsuan; Schulter, Samuel; Zhuang, Bingbing; Liu, Buyu; Garg, Sparsh; Kweon, In-So; et al, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, pp.16907 - 16916, Computer Vision Foundation, IEEE Computer Society, 2022-06-24

3
TTA-COPE: Test-Time Adaptation for Category-Level Object Pose Estimation

Lee, Taeyeop; Tremblay Jonathan; Blukis, Valts; Wen Bowen; Lee, ByeongUk; Shin, Inkyu; Birchfield Stan; et al, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2023), IEEE/CVF, 2023-06-21

4
UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation

Lee, TaeYeop; Lee, ByeongUk; Shin, Inkyu; Choe, Jaesung; Shin, UkCheol; Kweon, In-So; Yoon, Kuk-Jin, IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2022, Computer Vision Foundation, IEEE Computer Society, 2022-06-24

5
Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation

Shin, Inkyu; Yoon, Kuk-Jin; Kweon, In-So, IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop (CVPRW) on Transformers for Vision 2023, IEEE/CVF, 2023-06-18

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