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Graphonomy: Universal Image Parsing via Graph Reasoning and Transfer


Jan 26, 2021
Liang Lin, Yiming Gao, Ke Gong, Meng Wang, Xiaodan Liang

* To appear in IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (T-PAMI) 2021. We propose a graph reasoning and transfer learning framework, which incorporates human knowledge and label taxonomy into the intermediate graph representation learning beyond local convolutions. arXiv admin note: substantial text overlap with arXiv:1904.04536 

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Ada-Segment: Automated Multi-loss Adaptation for Panoptic Segmentation


Dec 07, 2020
Gengwei Zhang, Yiming Gao, Hang Xu, Hao Zhang, Zhenguo Li, Xiaodan Liang

* Accepted by AAAI2021 

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Bidirectional Graph Reasoning Network for Panoptic Segmentation


Apr 14, 2020
Yangxin Wu, Gengwei Zhang, Yiming Gao, Xiajun Deng, Ke Gong, Xiaodan Liang, Liang Lin

* CVPR2020 

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Fashion Retrieval via Graph Reasoning Networks on a Similarity Pyramid


Aug 30, 2019
Zhanghui Kuang, Yiming Gao, Guanbin Li, Ping Luo, Yimin Chen, Liang Lin, Wayne Zhang

* ICCV 2019 (oral) 

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Graphonomy: Universal Human Parsing via Graph Transfer Learning


Apr 09, 2019
Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin

* Accepted to CVPR 2019. The Code is available at https://github.com/Gaoyiminggithub/Graphonomy 

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Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening


Mar 20, 2019
Nan Wu, Jason Phang, Jungkyu Park, Yiqiu Shen, Zhe Huang, Masha Zorin, Stanisław Jastrzębski, Thibault Févry, Joe Katsnelson, Eric Kim, Stacey Wolfson, Ujas Parikh, Sushma Gaddam, Leng Leng Young Lin, Kara Ho, Joshua D. Weinstein, Beatriu Reig, Yiming Gao, Hildegard Toth, Kristine Pysarenko, Alana Lewin, Jiyon Lee, Krystal Airola, Eralda Mema, Stephanie Chung, Esther Hwang, Naziya Samreen, S. Gene Kim, Laura Heacock, Linda Moy, Kyunghyun Cho, Krzysztof J. Geras


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