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Trilevel Neural Architecture Search for Efficient Single Image Super-Resolution

Jan 17, 2021
Yan Wu, Zhiwu Huang, Suryansh Kumar, Rhea Sanjay Sukthanker, Radu Timofte, Luc Van Gool


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DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows

Jan 14, 2021
Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte


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Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos

Jan 06, 2021
Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte


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Local Memory Attention for Fast Video Semantic Segmentation

Jan 05, 2021
Matthieu Paul, Martin Danelljan, Luc Van Gool, Radu Timofte

* 14 pages, 8 figures 

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Learning Accurate Dense Correspondences and When to Trust Them

Jan 05, 2021
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte

* code: https://github.com/PruneTruong/PDCNet 

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An Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement

Dec 24, 2020
Dario Fuoli, Zhiwu Huang, Danda Pani Paudel, Luc Van Gool, Radu Timofte


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Zero-Pair Image to Image Translation using Domain Conditional Normalization

Nov 11, 2020
Samarth Shukla, Andrés Romero, Luc Van Gool, Radu Timofte

* Paper accepted for publication at WACV 2021 

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AIM 2020 Challenge on Learned Image Signal Processing Pipeline

Nov 10, 2020
Andrey Ignatov, Radu Timofte, Zhilu Zhang, Ming Liu, Haolin Wang, Wangmeng Zuo, Jiawei Zhang, Ruimao Zhang, Zhanglin Peng, Sijie Ren, Linhui Dai, Xiaohong Liu, Chengqi Li, Jun Chen, Yuichi Ito, Bhavya Vasudeva, Puneesh Deora, Umapada Pal, Zhenyu Guo, Yu Zhu, Tian Liang, Chenghua Li, Cong Leng, Zhihong Pan, Baopu Li, Byung-Hoon Kim, Joonyoung Song, Jong Chul Ye, JaeHyun Baek, Magauiya Zhussip, Yeskendir Koishekenov, Hwechul Cho Ye, Xin Liu, Xueying Hu, Jun Jiang, Jinwei Gu, Kai Li, Pengliang Tan, Bingxin Hou

* Published in ECCV 2020 Workshops (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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AIM 2020 Challenge on Rendering Realistic Bokeh

Nov 10, 2020
Andrey Ignatov, Radu Timofte, Ming Qian, Congyu Qiao, Jiamin Lin, Zhenyu Guo, Chenghua Li, Cong Leng, Jian Cheng, Juewen Peng, Xianrui Luo, Ke Xian, Zijin Wu, Zhiguo Cao, Densen Puthussery, Jiji C V, Hrishikesh P S, Melvin Kuriakose, Saikat Dutta, Sourya Dipta Das, Nisarg A. Shah, Kuldeep Purohit, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Saagara M B, Minnu A L, Sanjana A R, Praseeda S, Ge Wu, Xueqin Chen, Tengyao Wang, Max Zheng, Hulk Wong, Jay Zou

* Published in ECCV 2020 Workshop (Advances in Image Manipulation), https://data.vision.ee.ethz.ch/cvl/aim20/ 

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A Weakly Supervised Convolutional Network for Change Segmentation and Classification

Nov 06, 2020
Philipp Andermatt, Radu Timofte

* 17 pages, 5 figures. Accepted at the Machine Learning and Computing for Visual Semantic Analysis (MLCSA2020) Workshop which is held in conjunction with ACCV 2020 

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Learning to Improve Image Compression without Changing the Standard Decoder

Oct 23, 2020
Yannick Strümpler, Ren Yang, Radu Timofte

* Accepted to ECCV AIM Workshop 

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Self-Supervised Shadow Removal

Oct 22, 2020
Florin-Alexandru Vasluianu, Andres Romero, Luc Van Gool, Radu Timofte

* 10 pages, 4 figures, 6 tables 

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SMILE: Semantically-guided Multi-attribute Image and Layout Editing

Oct 05, 2020
Andrés Romero, Luc Van Gool, Radu Timofte


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AIM 2020 Challenge on Image Extreme Inpainting

Oct 02, 2020
Evangelos Ntavelis, Andrés Romero, Siavash Bigdeli, Radu Timofte


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Few-Shot Classification By Few-Iteration Meta-Learning

Oct 01, 2020
Ardhendu Shekhar Tripathi, Martin Danelljan, Luc Van Gool, Radu Timofte

* 14 pages 

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MS-RANAS: Multi-Scale Resource-Aware Neural Architecture Search

Sep 29, 2020
Cristian Cioflan, Radu Timofte


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AIM 2020 Challenge on Video Temporal Super-Resolution

Sep 28, 2020
Sanghyun Son, Jaerin Lee, Seungjun Nah, Radu Timofte, Kyoung Mu Lee

* Published in ECCV 2020 Workshop (Advances in Image Manipulation) 

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AIM 2020: Scene Relighting and Illumination Estimation Challenge

Sep 27, 2020
Majed El Helou, Ruofan Zhou, Sabine Süsstrunk, Radu Timofte, Mahmoud Afifi, Michael S. Brown, Kele Xu, Hengxing Cai, Yuzhong Liu, Li-Wen Wang, Zhi-Song Liu, Chu-Tak Li, Sourya Dipta Das, Nisarg A. Shah, Akashdeep Jassal, Tongtong Zhao, Shanshan Zhao, Sabari Nathan, M. Parisa Beham, R. Suganya, Qing Wang, Zhongyun Hu, Xin Huang, Yaning Li, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Densen Puthussery, Hrishikesh P S, Melvin Kuriakose, Jiji C V, Yu Zhu, Liping Dong, Zhuolong Jiang, Chenghua Li, Cong Leng, Jian Cheng

* ECCVW 2020. Data and more information on https://github.com/majedelhelou/VIDIT 

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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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GOCor: Bringing Globally Optimized Correspondence Volumes into Your Neural Network

Sep 16, 2020
Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte

* code: https://github.com/PruneTruong/GOCor 

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AIM 2020 Challenge on Efficient Super-Resolution: Methods and Results

Sep 15, 2020
Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, Yu Zhu, Xiangyu He, Wenjie Xu, Chenghua Li, Cong Leng, Jian Cheng, Guangyang Wu, Wenyi Wang, Xiaohong Liu, Hengyuan Zhao, Xiangtao Kong, Jingwen He, Yu Qiao, Chao Dong, Xiaotong Luo, Liang Chen, Jiangtao Zhang, Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan, Xiaochuan Li, Zhiqiang Lang, Jiangtao Nie, Wei Wei, Lei Zhang, Abdul Muqeet, Jiwon Hwang, Subin Yang, JungHeum Kang, Sung-Ho Bae, Yongwoo Kim, Liang Chen, Jiangtao Zhang, Xiaotong Luo, Yanyun Qu, Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, Jong-Seok Lee, Steven Marty, Eric Marty, Dongliang Xiong, Siang Chen, Lin Zha, Jiande Jiang, Xinbo Gao, Wen Lu, Haicheng Wang, Vineeth Bhaskara, Alex Levinshtein, Stavros Tsogkas, Allan Jepson, Xiangzhen Kong, Tongtong Zhao, Shanshan Zhao, Hrishikesh P S, Densen Puthussery, Jiji C V, Nan Nan, Shuai Liu, Jie Cai, Zibo Meng, Jiaming Ding, Chiu Man Ho, Xuehui Wang, Qiong Yan, Yuzhi Zhao, Long Chen, Jiangtao Zhang, Xiaotong Luo, Liang Chen, Yanyun Qu, Long Sun, Wenhao Wang, Zhenbing Liu, Rushi Lan, Rao Muhammad Umer, Christian Micheloni


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AIM 2020 Challenge on Video Extreme Super-Resolution: Methods and Results

Sep 14, 2020
Dario Fuoli, Zhiwu Huang, Shuhang Gu, Radu Timofte, Arnau Raventos, Aryan Esfandiari, Salah Karout, Xuan Xu, Xin Li, Xin Xiong, Jinge Wang, Pablo Navarrete Michelini, Wenhao Zhang, Dongyang Zhang, Hanwei Zhu, Dan Xia, Haoyu Chen, Jinjin Gu, Zhi Zhang, Tongtong Zhao, Shanshan Zhao, Kazutoshi Akita, Norimichi Ukita, Hrishikesh P S, Densen Puthussery, Jiji C V


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Plug-and-Play Image Restoration with Deep Denoiser Prior

Aug 31, 2020
Kai Zhang, Yawei Li, Wangmeng Zuo, Lei Zhang, Luc Van Gool, Radu Timofte

* An extended version of IRCNN (CVPR17). Project page: https://github.com/cszn/DPIR 

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DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation

Jul 30, 2020
Alexandre Carlier, Martin Danelljan, Alexandre Alahi, Radu Timofte

* 19 pages; updated references 

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The Heterogeneity Hypothesis: Finding Layer-Wise Dissimilated Network Architecture

Jun 29, 2020
Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte

* Code will be available at https://github.com/ofsoundof/Heterogeneity_Hypothesis 

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Learning for Video Compression with Recurrent Auto-Encoder and Recurrent Probability Model

Jun 29, 2020
Ren Yang, Fabian Mentzer, Luc Van Gool, Radu Timofte

* This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible 

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OpenDVC: An Open Source Implementation of the DVC Video Compression Method

Jun 29, 2020
Ren Yang, Luc Van Gool, Radu Timofte

* Technical report of OpenDVC; the project page is at https://github.com/RenYang-home/OpenDVC 

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SRFlow: Learning the Super-Resolution Space with Normalizing Flow

Jun 25, 2020
Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte


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