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360-MLC: Multi-view Layout Consistency for Self-training and Hyper-parameter Tuning


Oct 24, 2022
Bolivar Solarte, Chin-Hsuan Wu, Yueh-Cheng Liu, Yi-Hsuan Tsai, Min Sun

* NeurIPS 2022 

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3D-PL: Domain Adaptive Depth Estimation with 3D-aware Pseudo-Labeling


Sep 19, 2022
Yu-Ting Yen, Chia-Ni Lu, Wei-Chen Chiu, Yi-Hsuan Tsai

* Accepted in ECCV 2022. Project page: https://ccc870206.github.io/3D-PL/ 

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BiFuse++: Self-supervised and Efficient Bi-projection Fusion for 360 Depth Estimation


Sep 07, 2022
Fu-En Wang, Yu-Hsuan Yeh, Yi-Hsuan Tsai, Wei-Chen Chiu, Min Sun

* Accepted in TPAMI 2022; Code: https://github.com/fuenwang/BiFusev2 

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


Apr 27, 2022
Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon

* CVPR 2022 

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On Generalizing Beyond Domains in Cross-Domain Continual Learning


Mar 08, 2022
Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker

* Accepted to CVPR 2022 

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Learning Semantic Segmentation from Multiple Datasets with Label Shifts


Feb 28, 2022
Dongwan Kim, Yi-Hsuan Tsai, Yumin Suh, Masoud Faraki, Sparsh Garg, Manmohan Chandraker, Bohyung Han


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Self-Supervised Feature Learning from Partial Point Clouds via Pose Disentanglement


Jan 09, 2022
Meng-Shiun Tsai, Pei-Ze Chiang, Yi-Hsuan Tsai, Wei-Chen Chiu

* 10 pages, 4 figures and 6 tables 

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360-DFPE: Leveraging Monocular 360-Layouts for Direct Floor Plan Estimation


Dec 21, 2021
Bolivar Solarte, Yueh-Cheng Liu, Chin-Hsuan Wu, Yi-Hsuan Tsai, Min Sun


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Semi-supervised Multi-task Learning for Semantics and Depth


Oct 14, 2021
Yufeng Wang, Yi-Hsuan Tsai, Wei-Chih Hung, Wenrui Ding, Shuo Liu, Ming-Hsuan Yang

* Accepted at WACV 2022 

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