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Gregory Slabaugh

Learning to Sample the Most Useful Training Patches from Images


Nov 24, 2020
Shuyang Sun, Liang Chen, Gregory Slabaugh, Philip Torr

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Self-Adaptively Learning to Demoire from Focused and Defocused Image Pairs


Nov 05, 2020
Lin Liu, Shanxin Yuan, Jianzhuang Liu, Liping Bao, Gregory Slabaugh, Qi Tian

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* Accepted to NeurIPS 2020. Project page: "http://home.ustc.edu.cn/~ll0825/project_FDNet.html" 
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Diagnosing and Preventing Instabilities in Recurrent Video Processing


Oct 17, 2020
Thomas Tanay, Aivar Sootla, Matteo Maggioni, Puneet K. Dokania, Philip Torr, Ales Leonardis, Gregory Slabaugh

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Video Super-resolution with Temporal Group Attention


Jul 21, 2020
Takashi Isobe, Songjiang Li, Xu Jia, Shanxin Yuan, Gregory Slabaugh, Chunjing Xu, Ya-Li Li, Shengjin Wang, Qi Tian

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* CVPR 2020 
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Wavelet-Based Dual-Branch Network for Image Demoireing


Jul 17, 2020
Lin Liu, Jianzhuang Liu, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis, Wengang Zhou, Qi Tian

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* Accepted to ECCV 2020 
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NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results


May 08, 2020
Abdelrahman Abdelhamed, Mahmoud Afifi, Radu Timofte, Michael S. Brown, Yue Cao, Zhilu Zhang, Wangmeng Zuo, Xiaoling Zhang, Jiye Liu, Wendong Chen, Changyuan Wen, Meng Liu, Shuailin Lv, Yunchao Zhang, Zhihong Pan, Baopu Li, Teng Xi, Yanwen Fan, Xiyu Yu, Gang Zhang, Jingtuo Liu, Junyu Han, Errui Ding, Songhyun Yu, Bumjun Park, Jechang Jeong, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Zengli Yang, Long Bao, Shuangquan Wang, Dongwoon Bai, Jungwon Lee, Youngjung Kim, Kyeongha Rho, Changyeop Shin, Sungho Kim, Pengliang Tang, Yiyun Zhao, Yuqian Zhou, Yuchen Fan, Thomas Huang, Zhihao Li, Nisarg A. Shah, Wei Liu, Qiong Yan, Yuzhi Zhao, Marcin MoΕΌejko, Tomasz Latkowski, Lukasz Treszczotko, MichaΕ‚ Szafraniuk, Krzysztof Trojanowski, Yanhong Wu, Pablo Navarrete Michelini, Fengshuo Hu, Yunhua Lu, Sujin Kim, Wonjin Kim, Jaayeon Lee, Jang-Hwan Choi, Magauiya Zhussip, Azamat Khassenov, Jong Hyun Kim, Hwechul Cho, Priya Kansal, Sabari Nathan, Zhangyu Ye, Xiwen Lu, Yaqi Wu, Jiangxin Yang, Yanlong Cao, Siliang Tang, Yanpeng Cao, Matteo Maggioni, Ioannis Marras, Thomas Tanay, Gregory Slabaugh, Youliang Yan, Myungjoo Kang, Han-Soo Choi, Kyungmin Song, Shusong Xu, Xiaomu Lu, Tingniao Wang, Chunxia Lei, Bin Liu, Rajat Gupta, Vineet Kumar

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NTIRE 2020 Challenge on Image Demoireing: Methods and Results


May 06, 2020
Shanxin Yuan, Radu Timofte, Ales Leonardis, Gregory Slabaugh, Xiaotong Luo, Jiangtao Zhang, Yanyun Qu, Ming Hong, Yuan Xie, Cuihua Li, Dejia Xu, Yihao Chu, Qingyan Sun, Shuai Liu, Ziyao Zong, Nan Nan, Chenghua Li, Sangmin Kim, Hyungjoon Nam, Jisu Kim, Jechang Jeong, Manri Cheon, Sung-Jun Yoon, Byungyeon Kang, Junwoo Lee, Bolun Zheng, Xiaohong Liu, Linhui Dai, Jun Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Chul Lee, An Gia Vien, Hyunkook Park, Sabari Nathan, M. Parisa Beham, S Mohamed Mansoor Roomi, Florian Lemarchand, Maxime Pelcat, Erwan Nogues, Densen Puthussery, Hrishikesh P S, Jiji C V, Ashish Sinha, Xuan Zhao

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* CVPRW 2020 
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Image Demoireing with Learnable Bandpass Filters


Apr 01, 2020
Bolun Zheng, Shanxin Yuan, Gregory Slabaugh, Ales Leonardis

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* Accepted by CVPR2020. Code is available at https://github.com/zhenngbolun/Learnbale_Bandpass_Filter 
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DeepLPF: Deep Local Parametric Filters for Image Enhancement


Mar 31, 2020
Sean Moran, Pierre Marza, Steven McDonagh, Sarah Parisot, Gregory Slabaugh

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* Accepted for publication at CVPR2020 
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Unsupervised Model Personalization while Preserving Privacy and Scalability: An Open Problem


Mar 30, 2020
Matthias De Lange, Xu Jia, Sarah Parisot, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

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* CVPR 2020 
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Reconstructing the Noise Manifold for Image Denoising


Mar 07, 2020
Ioannis Marras, Grigorios G. Chrysos, Ioannis Alexiou, Gregory Slabaugh, Stefanos Zafeiriou

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* 18 pages, 8 figures 
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A Multi-Hypothesis Approach to Color Constancy


Mar 02, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

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* Accepted for publication at CVPR2020 
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A Multi-Hypothesis Classification Approach to Color Constancy


Feb 28, 2020
Daniel Hernandez-Juarez, Sarah Parisot, Benjamin Busam, Ales Leonardis, Gregory Slabaugh, Steven McDonagh

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* Accepted at CVPR2020 
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DIFAR: Deep Image Formation and Retouching


Nov 29, 2019
Sean Moran, Gregory Slabaugh

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Pixel Adaptive Filtering Units


Nov 24, 2019
Filippos Kokkinos, Ioannis Marras, Matteo Maggioni, Gregory Slabaugh, Stefanos Zafeiriou

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AIM 2019 Challenge on Image Demoireing: Methods and Results


Nov 08, 2019
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis, Bolun Zheng, Xin Ye, Xiang Tian, Yaowu Chen, Xi Cheng, Zhenyong Fu, Jian Yang, Ming Hong, Wenying Lin, Wenjin Yang, Yanyun Qu, Hong-Kyu Shin, Joon-Yeon Kim, Sung-Jea Ko, Hang Dong, Yu Guo, Jie Wang, Xuan Ding, Zongyan Han, Sourya Dipta Das, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan

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* arXiv admin note: text overlap with arXiv:1911.02498 
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AIM 2019 Challenge on Image Demoireing: Dataset and Study


Nov 06, 2019
Shanxin Yuan, Radu Timofte, Gregory Slabaugh, Ales Leonardis

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SteReFo: Efficient Image Refocusing with Stereo Vision


Sep 29, 2019
Benjamin Busam, Matthieu Hog, Steven McDonagh, Gregory Slabaugh

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Continual learning: A comparative study on how to defy forgetting in classification tasks


Sep 18, 2019
Matthias De Lange, Rahaf Aljundi, Marc Masana, Sarah Parisot, Xu Jia, Ales Leonardis, Gregory Slabaugh, Tinne Tuytelaars

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NODE: Extreme Low Light Raw Image Denoising using a Noise Decomposition Network


Sep 11, 2019
Hao Guan, Liu Liu, Sean Moran, Fenglong Song, Gregory Slabaugh

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Meta-Learning for Few-shot Camera-Adaptive Color Constancy


Nov 28, 2018
Steven McDonagh, Sarah Parisot, Zhenguo Li, Gregory Slabaugh

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* The two first authors contributed equally 
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Generating Magnetic Resonance Spectroscopy Imaging Data of Brain Tumours from Linear, Non-Linear and Deep Learning Models


Aug 23, 2018
Nathan J Olliverre, Guang Yang, Gregory Slabaugh, Constantino Carlos Reyes-Aldasoro, Eduardo Alonso

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* 9 pages, 4 figures, 2 tables, to be presented at Simulation and Synthesis in Medical Imaging (SASHIMI) 2018 and published in the book Simulation and Synthesis in Medical Imaging, Lecture Notes in Computer Science series, Volume 11037 
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