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Boosting Salient Object Detection with Transformer-based Asymmetric Bilateral U-Net


Aug 30, 2021
Yu Qiu, Yun Liu, Le Zhang, Jing Xu


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Boosting Few-shot Semantic Segmentation with Transformers


Aug 04, 2021
Guolei Sun, Yun Liu, Jingyun Liang, Luc Van Gool

* Technical report. Code and pretrained models will be available: https://github.com/GuoleiSun/TRFS 

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P2T: Pyramid Pooling Transformer for Scene Understanding


Jul 10, 2021
Yu-Huan Wu, Yun Liu, Xin Zhan, Ming-Ming Cheng


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Transformer in Convolutional Neural Networks


Jun 09, 2021
Yun Liu, Guolei Sun, Yu Qiu, Le Zhang, Ajad Chhatkuli, Luc Van Gool


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Boosting Crowd Counting with Transformers


May 23, 2021
Guolei Sun, Yun Liu, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Luc Van Gool


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Deep learning for detecting pulmonary tuberculosis via chest radiography: an international study across 10 countries


May 16, 2021
Sahar Kazemzadeh, Jin Yu, Shahar Jamshy, Rory Pilgrim, Zaid Nabulsi, Christina Chen, Neeral Beladia, Charles Lau, Scott Mayer McKinney, Thad Hughes, Atilla Kiraly, Sreenivasa Raju Kalidindi, Monde Muyoyeta, Jameson Malemela, Ting Shih, Greg S. Corrado, Lily Peng, Katherine Chou, Po-Hsuan Cameron Chen, Yun Liu, Krish Eswaran, Daniel Tse, Shravya Shetty, Shruthi Prabhakara


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Does Your Dermatology Classifier Know What It Doesn't Know? Detecting the Long-Tail of Unseen Conditions


Apr 08, 2021
Abhijit Guha Roy, Jie Ren, Shekoofeh Azizi, Aaron Loh, Vivek Natarajan, Basil Mustafa, Nick Pawlowski, Jan Freyberg, Yuan Liu, Zach Beaver, Nam Vo, Peggy Bui, Samantha Winter, Patricia MacWilliams, Greg S. Corrado, Umesh Telang, Yun Liu, Taylan Cemgil, Alan Karthikesalingam, Balaji Lakshminarayanan, Jim Winkens

* Under Review, 19 Pages 

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Coarse-grained decomposition and fine-grained interaction for multi-hop question answering


Jan 15, 2021
Xing Cao, Yun Liu


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MobileSal: Extremely Efficient RGB-D Salient Object Detection


Dec 24, 2020
Yu-Huan Wu, Yun Liu, Jun Xu, Jia-Wang Bian, Yuchao Gu, Ming-Ming Cheng


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EDN: Salient Object Detection via Extremely-Downsampled Network


Dec 24, 2020
Yu-Huan Wu, Yun Liu, Le Zhang, Ming-Ming Cheng


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Predicting Prostate Cancer-Specific Mortality with A.I.-based Gleason Grading


Nov 25, 2020
Ellery Wulczyn, Kunal Nagpal, Matthew Symonds, Melissa Moran, Markus Plass, Robert Reihs, Farah Nader, Fraser Tan, Yuannan Cai, Trissia Brown, Isabelle Flament-Auvigne, Mahul B. Amin, Martin C. Stumpe, Heimo Muller, Peter Regitnig, Andreas Holzinger, Greg S. Corrado, Lily H. Peng, Po-Hsuan Cameron Chen, David F. Steiner, Kurt Zatloukal, Yun Liu, Craig H. Mermel


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Detecting hidden signs of diabetes in external eye photographs


Nov 23, 2020
Boris Babenko, Akinori Mitani, Ilana Traynis, Naho Kitade, Preeti Singh, April Maa, Jorge Cuadros, Greg S. Corrado, Lily Peng, Dale R. Webster, Avinash Varadarajan, Naama Hammel, Yun Liu


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Interpretable Survival Prediction for Colorectal Cancer using Deep Learning


Nov 17, 2020
Ellery Wulczyn, David F. Steiner, Melissa Moran, Markus Plass, Robert Reihs, Fraser Tan, Isabelle Flament-Auvigne, Trissia Brown, Peter Regitnig, Po-Hsuan Cameron Chen, Narayan Hegde, Apaar Sadhwani, Robert MacDonald, Benny Ayalew, Greg S. Corrado, Lily H. Peng, Daniel Tse, Heimo Müller, Zhaoyang Xu, Yun Liu, Martin C. Stumpe, Kurt Zatloukal, Craig H. Mermel


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Deep Learning for Distinguishing Normal versus Abnormal Chest Radiographs and Generalization to Unseen Diseases


Oct 22, 2020
Zaid Nabulsi, Andrew Sellergren, Shahar Jamshy, Charles Lau, Eddie Santos, Atilla P. Kiraly, Wenxing Ye, Jie Yang, Sahar Kazemzadeh, Jin Yu, Raju Kalidindi, Mozziyar Etemadi, Florencia Garcia Vicente, David Melnick, Greg S. Corrado, Lily Peng, Krish Eswaran, Daniel Tse, Neeral Beladia, Yun Liu, Po-Hsuan Cameron Chen, Shravya Shetty


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DOTS: Decoupling Operation and Topology in Differentiable Architecture Search


Oct 02, 2020
Yu-Chao Gu, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng


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Generalized Zero-Shot Learning via VAE-Conditioned Generative Flow


Sep 01, 2020
Yu-Chao Gu, Le Zhang, Yun Liu, Shao-Ping Lu, Ming-Ming Cheng


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Regularized Densely-connected Pyramid Network for Salient Instance Segmentation


Aug 28, 2020
Yu-Huan Wu, Yun Liu, Le Zhang, Wang Gao, Ming-Ming Cheng

* 11 pages, 6 figures 

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Multi-scale Interaction for Real-time LiDAR Data Segmentation on an Embedded Platform


Aug 20, 2020
Shijie Li, Xieyuanli Chen, Yun Liu, Dengxin Dai, Cyrill Stachniss, Juergen Gall


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Predicting Risk of Developing Diabetic Retinopathy using Deep Learning


Aug 10, 2020
Ashish Bora, Siva Balasubramanian, Boris Babenko, Sunny Virmani, Subhashini Venugopalan, Akinori Mitani, Guilherme de Oliveira Marinho, Jorge Cuadros, Paisan Ruamviboonsuk, Greg S Corrado, Lily Peng, Dale R Webster, Avinash V Varadarajan, Naama Hammel, Yun Liu, Pinal Bavishi


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Projected-point-based Segmentation: A New Paradigm for LiDAR Point Cloud Segmentation


Aug 10, 2020
Shijie Li, Yun Liu, Juergen Gall


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MS-TCN++: Multi-Stage Temporal Convolutional Network for Action Segmentation


Jun 16, 2020
Shijie Li, Yazan Abu Farha, Yun Liu, Ming-Ming Cheng, Juergen Gall

* arXiv admin note: substantial text overlap with arXiv:1903.01945 

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Sub-band Knowledge Distillation Framework for Speech Enhancement


May 29, 2020
Xiang Hao, Shixue Wen, Xiangdong Su, Yun Liu, Guanglai Gao, Xiaofei Li


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MiniSeg: An Extremely Minimum Network for Efficient COVID-19 Segmentation


Apr 21, 2020
Yu Qiu, Yun Liu, Jing Xu


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Ordered or Orderless: A Revisit for Video based Person Re-Identification


Dec 24, 2019
Le Zhang, Zenglin Shi, Joey Tianyi Zhou, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Zeng Zeng, Chunhua Shen

* Under Minor Revision in IEEE TPAMI 

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Deep learning-based survival prediction for multiple cancer types using histopathology images


Dec 16, 2019
Ellery Wulczyn, David F. Steiner, Zhaoyang Xu, Apaar Sadhwani, Hongwu Wang, Isabelle Flament, Craig H. Mermel, Po-Hsuan Cameron Chen, Yun Liu, Martin C. Stumpe


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AdaSample: Adaptive Sampling of Hard Positives for Descriptor Learning


Nov 27, 2019
Xin-Yu Zhang, Le Zhang, Zao-Yi Zheng, Yun Liu, Jia-Wang Bian, Ming-Ming Cheng


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