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MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision Models


Oct 04, 2022
Chenglin Yang, Siyuan Qiao, Qihang Yu, Xiaoding Yuan, Yukun Zhu, Alan Yuille, Hartwig Adam, Liang-Chieh Chen


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k-means Mask Transformer


Jul 08, 2022
Qihang Yu, Huiyu Wang, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hatwig Adam, Alan Yuille, Liang-Chieh Chen

* ECCV 2022. Codes and models are available at https://github.com/google-research/deeplab2 

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CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation


Jun 17, 2022
Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell Collins, Yukun Zhu, Hartwig Adam, Alan Yuille, Liang-Chieh Chen

* CVPR 2022 Oral 

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Waymo Open Dataset: Panoramic Video Panoptic Segmentation


Jun 15, 2022
Jieru Mei, Alex Zihao Zhu, Xinchen Yan, Hang Yan, Siyuan Qiao, Yukun Zhu, Liang-Chieh Chen, Henrik Kretzschmar, Dragomir Anguelov

* Our dataset can be found at https://waymo.com/open 

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Federated Multi-Target Domain Adaptation


Aug 17, 2021
Chun-Han Yao, Boqing Gong, Yin Cui, Hang Qi, Yukun Zhu, Ming-Hsuan Yang


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DeepLab2: A TensorFlow Library for Deep Labeling


Jun 17, 2021
Mark Weber, Huiyu Wang, Siyuan Qiao, Jun Xie, Maxwell D. Collins, Yukun Zhu, Liangzhe Yuan, Dahun Kim, Qihang Yu, Daniel Cremers, Laura Leal-Taixe, Alan L. Yuille, Florian Schroff, Hartwig Adam, Liang-Chieh Chen

* 4-page technical report. The first three authors contributed equally to this work 

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BasisNet: Two-stage Model Synthesis for Efficient Inference


May 07, 2021
Mingda Zhang, Chun-Te Chu, Andrey Zhmoginov, Andrew Howard, Brendan Jou, Yukun Zhu, Li Zhang, Rebecca Hwa, Adriana Kovashka

* To appear, 4th Workshop on Efficient Deep Learning for Computer Vision (ECV2021), CVPR2021 Workshop 

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Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data


Apr 27, 2021
Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green


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STEP: Segmenting and Tracking Every Pixel


Feb 23, 2021
Mark Weber, Jun Xie, Maxwell Collins, Yukun Zhu, Paul Voigtlaender, Hartwig Adam, Bradley Green, Andreas Geiger, Bastian Leibe, Daniel Cremers, Aljosa Osep, Laura Leal-Taixe, Liang-Chieh Chen

* Datasets, metric, and baselines will be made publicly available soon 

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