Bo Zhou

Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

Nov 02, 2020
Anton Smerdov, Bo Zhou, Paul Lukowicz, Andrey Somov

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Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system

Oct 09, 2020
Jia-Yi Chang, Yan-Feng Lu, Ya-Jun Liu, Bo Zhou, Hong Qiao

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AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Sep 25, 2020
Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Tangxin Xie, Liang Cao, Yan Zou, Yi Shen, Jialiang Zhang, Yu Jia, Kaihua Cheng, Chenhuan Wu, Yue Lin, Cen Liu, Yunbo Peng, Xueyi Zou, Zhipeng Luo, Yuehan Yao, Zhenyu Xu, Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Tongtong Zhao, Shanshan Zhao, Yoseob Han, Byung-Hoon Kim, JaeHyun Baek, Haoning Wu, Dejia Xu, Bo Zhou, Wei Guan, Xiaobo Li, Chen Ye, Hao Li, Haoyu Zhong, Yukai Shi, Zhijing Yang, Xiaojun Yang, Haoyu Zhong, Xin Li, Xin Jin, Yaojun Wu, Yingxue Pang, Sen Liu, Zhi-Song Liu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Wan-Chi Siu, Yuanbo Zhou, Rao Muhammad Umer, Christian Micheloni, Xiaofeng Cong, Rajat Gupta, Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee, Feras Almasri, Thomas Vandamme, Olivier Debeir

* European Conference on Computer Vision Workshops, 2020

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Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

Sep 14, 2020
Bo Zhou, Yu-Jung Tsai, Chi Liu

* Accepted at MICCAI 2020

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Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

Sep 03, 2020
Bo Zhou, S. Kevin Zhou, James S. Duncan, Chi Liu

* Submitted to the IEEE for possible publication

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DeepFaceLab: A simple, flexible and extensible face swapping framework

May 20, 2020
Ivan Perov, Daiheng Gao, Nikolay Chervoniy, Kunlin Liu, Sugasa Marangonda, Chris Umé, Mr. Dpfks, Carl Shift Facenheim, Luis RP, Jian Jiang, Sheng Zhang, Pingyu Wu, Bo Zhou, Weiming Zhang

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A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

Mar 05, 2020
Antong Chen, Jennifer Saouaf, Bo Zhou, Randolph Crawford, Jianda Yuan, Junshui Ma, Richard Baumgartner, Shubing Wang, Gregory Goldmacher

* Accepted by International Symposium on Biomedical Imaging (ISBI) 2020

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DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

Jan 11, 2020
Bo Zhou, S. Kevin Zhou

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Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

Dec 10, 2019
Bo Zhou, Hongsheng Zeng, Fan Wang, Yunxiang Li, Hao Tian

* 1st place in NeurIPS 2019: Learn to Move - Walk Around competition and best paper award

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CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Sep 27, 2019
Bo Zhou, Adam P. Harrison, Jiawen Yao, Chi-Tung Cheng, Jing Xiao, Chien-Hung Liao, Le Lu

* 11 pages, accepted by 2019 MICCAI - Medical Image Learning with Less Labels and Imperfect Data Workshop

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Artificial Intelligence for Prosthetics - challenge solutions

Feb 07, 2019
Łukasz Kidziński, Carmichael Ong, Sharada Prasanna Mohanty, Jennifer Hicks, Sean F. Carroll, Bo Zhou, Hongsheng Zeng, Fan Wang, Rongzhong Lian, Hao Tian, Wojciech Jaśkowski, Garrett Andersen, Odd Rune Lykkebø, Nihat Engin Toklu, Pranav Shyam, Rupesh Kumar Srivastava, Sergey Kolesnikov, Oleksii Hrinchuk, Anton Pechenko, Mattias Ljungström, Zhen Wang, Xu Hu, Zehong Hu, Minghui Qiu, Jun Huang, Aleksei Shpilman, Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Lance Rane, Aditya Bhatt, Zhengfei Wang, Penghui Qi, Zeyang Yu, Peng Peng, Quan Yuan, Wenxin Li, Yunsheng Tian, Ruihan Yang, Pingchuan Ma, Shauharda Khadka, Somdeb Majumdar, Zach Dwiel, Yinyin Liu, Evren Tumer, Jeremy Watson, Marcel Salathé, Sergey Levine, Scott Delp

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Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

Nov 15, 2018
Fan Wang, Bo Zhou, Ke Chen, Tingxiang Fan, Xi Zhang, Jiangyong Li, Hao Tian, Jia Pan

* Wang, F., Zhou, B., Chen, K., Fan, T., Zhang, X., Li, J., ... & Pan, J. (2018, October). Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation. In Conference on Robot Learning (pp. 410-421)

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A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

Nov 11, 2018
Bo Zhou, Randolph Crawford, Belma Dogdas, Gregory Goldmacher, Antong Chen

* 10 pages, 7 figures, 3 tables, accepted by 2019 IEEE Winter Conference on Applications of Computer Vision (2019 WACV)

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A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

Nov 05, 2018
Bo Zhou, Yuemeng Li, Jiangcong Wang

* 10 pages, 6 figures; accepted by IEEE Winter Conference on Applications of Computer Vision (2019 WACV)

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Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network

Oct 22, 2018
Bo Zhou, Xunyu Lin, Brendan Eck, Jun Hou, David Wilson

* 16 pages, 7 figures, accepted by Asian Conference on Computer Vision (2018 ACCV)

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Bo Zhou

Collection and Validation of Psycophysiological Data from Professional and Amateur Players: a Multimodal eSports Dataset

Long-distance tiny face detection based on enhanced YOLOv3 for unmanned system

AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results

Simultaneous Denoising and Motion Estimation for Low-dose Gated PET using a Siamese Adversarial Network with Gate-to-Gate Consistency Learning

Limited View Tomographic Reconstruction Using a Deep Recurrent Framework with Residual Dense Spatial-Channel Attention Network and Sinogram Consistency

DeepFaceLab: A simple, flexible and extensible face swapping framework

A deep learning-facilitated radiomics solution for the prediction of lung lesion shrinkage in non-small cell lung cancer trials

DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction with Deep T1 Prior

Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

CT Data Curation for Liver Patients: Phase Recognition in Dynamic Contrast-Enhanced CT

Artificial Intelligence for Prosthetics - challenge solutions

Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation

A Progressively-trained Scale-invariant and Boundary-aware Deep Neural Network for the Automatic 3D Segmentation of Lung Lesions

A Weakly Supervised Adaptive DenseNet for Classifying Thoracic Diseases and Identifying Abnormalities

Generation of Virtual Dual Energy Images from Standard Single-Shot Radiographs using Multi-scale and Conditional Adversarial Network

Respond-CAM: Analyzing Deep Models for 3D Imaging Data by Visualizations

Model compression for faster structural separation of macromolecules captured by Cellular Electron Cryo-Tomography

Feature Decomposition Based Saliency Detection in Electron Cryo-Tomograms

Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction

Transforming Sensor Data to the Image Domain for Deep Learning - an Application to Footstep Detection