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Weakly Supervised 3D Classification of Chest CT using Aggregated Multi-Resolution Deep Segmentation Features

Oct 31, 2020
Anindo Saha, Fakrul I. Tushar, Khrystyna Faryna, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Geoffrey D. Rubin, Joseph Y. Lo

* Accepted to 2020 SPIE Medical Imaging: Computer-Aided Diagnosis [oral presentation] 

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Weakly Supervised Multi-Organ Multi-Disease Classification of Body CT Scans

Aug 03, 2020
Fakrul Islam Tushar, Vincent M. D'Anniballe, Rui Hou, Maciej A. Mazurowski, Wanyi Fu, Ehsan Samei, Geoffrey D. Rubin, Joseph Y. Lo

* 8 pages, 5 figures, 2 tables 

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Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Feb 27, 2020
Vitor Guizilini, Rui Hou, Jie Li, Rares Ambrus, Adrien Gaidon

* Proceedings of the Eighth International Conference on Learning Representations (ICLR 2020) 

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Measuring the Utilization of Public Open Spaces by Deep Learning: a Benchmark Study at the Detroit Riverfront

Feb 04, 2020
Peng Sun, Rui Hou, Jerome Lynch


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Real-Time Panoptic Segmentation from Dense Detections

Dec 04, 2019
Rui Hou, Jie Li, Arjun Bhargava, Allan Raventos, Vitor Guizilini, Chao Fang, Jerome Lynch, Adrien Gaidon

* 12 pages, 6 figures 

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Towards Automatic Detection of Misinformation in Online Medical Videos

Sep 04, 2019
Rui Hou, Verónica Pérez-Rosas, Stacy Loeb, Rada Mihalcea


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An Efficient 3D CNN for Action/Object Segmentation in Video

Jul 21, 2019
Rui Hou, Chen Chen, Rahul Sukthankar, Mubarak Shah


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An End-to-end 3D Convolutional Neural Network for Action Detection and Segmentation in Videos

Nov 30, 2017
Rui Hou, Chen Chen, Mubarak Shah

* arXiv admin note: substantial text overlap with arXiv:1703.10664 

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Tube Convolutional Neural Network (T-CNN) for Action Detection in Videos

Aug 02, 2017
Rui Hou, Chen Chen, Mubarak Shah


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