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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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A deep learning system for differential diagnosis of skin diseases

Sep 11, 2019
Yuan Liu, Ayush Jain, Clara Eng, David H. Way, Kang Lee, Peggy Bui, Kimberly Kanada, Guilherme de Oliveira Marinho, Jessica Gallegos, Sara Gabriele, Vishakha Gupta, Nalini Singh, Vivek Natarajan, Rainer Hofmann-Wellenhof, Greg S. Corrado, Lily H. Peng, Dale R. Webster, Dennis Ai, Susan Huang, Yun Liu, R. Carter Dunn, David Coz


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An Evaluation of Feature Matchers for Fundamental Matrix Estimation

Sep 11, 2019
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid

* Accepted to British Machine Vision Conference (BMVC) 2019 

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Scoot: A Perceptual Metric for Facial Sketches

Sep 04, 2019
Deng-Ping Fan, ShengChuan Zhang, Yu-Huan Wu, Yun Liu, Ming-Ming Cheng, Bo Ren, Paul L. Rosin, Rongrong Ji

* Code & dataset:http://mmcheng.net/scoot/, 11 pages, ICCV 2019, First one good evaluation metric for facial sketh that consistent with human judgment. arXiv admin note: text overlap with arXiv:1804.02975 

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An Evaluation of Feature Matchers forFundamental Matrix Estimation

Aug 26, 2019
Jia-Wang Bian, Yu-Huan Wu, Ji Zhao, Yun Liu, Le Zhang, Ming-Ming Cheng, Ian Reid

* The paper has been accepted by British Machine Vision Conference (BMVC) 2019 

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Robust Regression via Deep Negative Correlation Learning

Aug 24, 2019
Le Zhang, Zenglin Shi, Ming-Ming Cheng, Yun Liu, Jia-Wang Bian, Joey Tianyi Zhou, Guoyan Zheng, Zeng Zeng


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Rethinking RGB-D Salient Object Detection: Models, Datasets, and Large-Scale Benchmarks

Jul 15, 2019
Deng-Ping Fan, Zheng Lin, Jia-Xing Zhao, Yun Liu, Zhao Zhang, Qibin Hou, Menglong Zhu, Ming-Ming Cheng

* 15 pages 

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Understanding Adversarial Behavior of DNNs by Disentangling Non-Robust and Robust Components in Performance Metric

Jun 06, 2019
Yujun Shi, Benben Liao, Guangyong Chen, Yun Liu, Ming-Ming Cheng, Jiashi Feng


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Detecting Anemia from Retinal Fundus Images

Apr 12, 2019
Akinori Mitani, Yun Liu, Abigail Huang, Greg S. Corrado, Lily Peng, Dale R. Webster, Naama Hammel, Avinash V. Varadarajan

* 31 pages, 5 figures, 3 tables 

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DNA: Deeply-supervised Nonlinear Aggregation for Salient Object Detection

Mar 28, 2019
Yun Liu, Deng-Ping Fan, Guang-Yu Nie, Xinyu Zhang, Vahan Petrosyan, Ming-Ming Cheng

* arXiv admin note: text overlap with arXiv:1812.10956" 

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CubemapSLAM: A Piecewise-Pinhole Monocular Fisheye SLAM System

Feb 27, 2019
Yahui Wang, Shaojun Cai, Shi-Jie Li, Yun Liu, Yangyan Guo, Tao Li, Ming-Ming Cheng

* The paper has been accepted by ACCV 2018 

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Exploring Stereovision-Based 3-D Scene Reconstruction for Augmented Reality

Feb 17, 2019
Guang-Yu Nie, Yun Liu, Cong Wang, Yue Liu, Yongtian Wang

* To be published in IEEE VR2019 Conference as a Poster 

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Similar Image Search for Histopathology: SMILY

Feb 06, 2019
Narayan Hegde, Jason D. Hipp, Yun Liu, Michael E. Buck, Emily Reif, Daniel Smilkov, Michael Terry, Carrie J. Cai, Mahul B. Amin, Craig H. Mermel, Phil Q. Nelson, Lily H. Peng, Greg S. Corrado, Martin C. Stumpe

* 23 Pages with 6 figures and 3 tables. The file also has 6 pages of supplemental material. Improved figure resolution, edited metadata 

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