Twitter Author Profiling Using Word Embeddings and Logistic Regression. - Liliya Akhtyamova; John Cardiff; Andrey Ignatov (CLEF (Working Notes), 2017)

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks. - Andrey Ignatov; Nikolay Kobyshev; Radu Timofte; Kenneth Vanhoey; Luc Van Gool (ICCV, 2017)

A Large-Scale CNN Ensemble for Medication Safety Analysis. - Liliya Akhtyamova; Andrey Ignatov; John Cardiff (NLDB, 2017)

WESPE: Weakly Supervised Photo Enhancer for Digital Cameras. - Andrey Ignatov; Nikolay Kobyshev; Radu Timofte; Kenneth Vanhoey; Luc Van Gool (CVPR Workshops, 2018)

AI Benchmark: Running Deep Neural Networks on Android Smartphones. - Andrey Ignatov; Radu Timofte; William Chou; Ke Wang; Max Wu; Tim Hartley; Luc Van Gool (ECCV Workshops (5), 2018)

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report. - Andrey Ignatov; Radu Timofte; Thang Van Vu; Tung Minh Luu; Trung X. Pham; Cao Van Nguyen; Yongwoo Kim; Jae-Seok Choi; Munchurl Kim; Jie Huang 017; Jiewen Ran; Chen Xing; et al. (ECCV Workshops (5), 2018)

Fast Perceptual Image Enhancement. - Etienne de Stoutz; Andrey Ignatov; Nikolay Kobyshev; Radu Timofte; Luc Van Gool (ECCV Workshops (5), 2018)

Real-time human activity recognition from accelerometer data using Convolutional Neural Networks. - Andrey Ignatov (Appl. Soft Comput., 2018)

NTIRE 2019 Challenge on Image Enhancement: Methods and Results. - Andrey Ignatov; Radu Timofte; Xiaochao Qu; Xingguang Zhou; Ting Liu; Pengfei Wan 001; Syed Waqas Zamir; Aditya Arora; Salman H. Khan 001; Fahad Shahbaz Khan; Ling Shao 001; Dongwon Park; et al. (CVPR Workshops, 2019)

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results. - Andrey Ignatov; Praveen Kandula; Maitreya Suin; A. N. Rajagopalan 001; Zhiwei Xiong; Jie Huang 017; Guanting Dong; Mingde Yao; Dong Liu 002; Wenjin Yang; Ming Hong; Wenying Lin; et al. (ICCV Workshops, 2019)

AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results. - Andrey Ignatov; Juncheng Li 003; Jiajie Zhang; Haoyu Wu; Jie Li 098; Rui Huang 001; Muhammad Haris 002; Greg Shakhnarovich; Norimichi Ukita; Yuzhi Zhao; Lai-Man Po; Radu Timofte; et al. (ICCV Workshops, 2019)

AI Benchmark: All About Deep Learning on Smartphones in 2019. - Andrey Ignatov; Radu Timofte; Andrei Kulik; Seungsoo Yang; Ke Wang; Felix Baum; Max Wu; Lirong Xu; Luc Van Gool (ICCV Workshops, 2019)

Replacing Mobile Camera ISP with a Single Deep Learning Model. - Andrey Ignatov; Luc Van Gool; Radu Timofte (CVPR Workshops, 2020)

Rendering Natural Camera Bokeh Effect with Deep Learning. - Andrey Ignatov; Jagruti Patel; Radu Timofte (CVPR Workshops, 2020)

AIM 2020 Challenge on Rendering Realistic Bokeh. - Andrey Ignatov; Radu Timofte; Ming Qian; Congyu Qiao; Jiamin Lin; Zhenyu Guo; Chenghua Li; Cong Leng; Jian Cheng 001; Juewen Peng; Xianrui Luo; Ke Xian; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (ECCV Workshops (3), 2020)

AIM 2020 Challenge on Learned Image Signal Processing Pipeline. - Andrey Ignatov; Radu Timofte; Zhilu Zhang 001; Ming Liu 018; Haolin Wang; Wangmeng Zuo; Jiawei Zhang 002; Ruimao Zhang; Zhanglin Peng; Sijie Ren; Linhui Dai; Xiaohong Liu 001; et al. (CoRR, 2020)

Controlling information capacity of binary neural network. - Dmitry Ignatov; Andrey Ignatov (Pattern Recognit. Lett., 2020)

Fast Camera Image Denoising on Mobile GPUs With Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Kim Byeoung-su; Radu Timofte; Angeline Pouget (CVPR Workshops, 2021)

Learned Smartphone ISP on Mobile NPUs With Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte (CVPR Workshops, 2021)

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; David Plowman; Samarth Shukla; Radu Timofte (CVPR Workshops, 2021)

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte (CVPR Workshops, 2021)

Real-Time Video Super-Resolution on Smartphones With Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Andrés Romero; Heewon Kim; Radu Timofte (CVPR Workshops, 2021)

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes (CVPR Workshops, 2021)

Fast and Accurate Camera Scene Detection on Smartphones. - Angeline Pouget; Sidharth Ramesh; Maximilian Giang; Ramithan Chandrapalan; Toni Tanner; Moritz Prussing; Radu Timofte; Andrey Ignatov (CVPR Workshops, 2021)

Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Cheng-Ming Chiang; Hsien-Kai Kuo; Anastasia Sycheva; Radu Timofte; Min-Hung Chen; Man-Yu Lee; Yu-Syuan Xu; Yu Tseng; Shusong Xu; Jin Guo; Chao-Hung Chen; et al. (CoRR, 2021)

Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Andrew Lek; Mustafa Ayazoglu; Jie Liu 040; Zongcai Du; Jiaming Guo; Xueyi Zhou; Hao Jia; Youliang Yan; et al. (CoRR, 2021)

Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Kim Byeoung-su; Radu Timofte; Angeline Pouget; Fenglong Song; Cheng Li 009; Shuai Xiao; Zhongqian Fu; Matteo Maggioni; Yibin Huang; Shen Cheng; Xin Lu 006; et al. (CoRR, 2021)

Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; David Plowman; Samarth Shukla; Radu Timofte; Ziyu Zhang; Yicheng Wang; Zilong Huang; Guozhong Luo; Gang Yu 002; Bin Fu; Yiran Wang 005; et al. (CoRR, 2021)

Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Sheng Chen; Xin Xia 014; Zhaoyan Liu; Yuwei Zhang; Feng Zhu; Jiashi Li; Xuefeng Xiao 001; Yuan Tian; Xinglong Wu; et al. (CoRR, 2021)

Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report. - Andrey Ignatov; Andrés Romero; Heewon Kim; Radu Timofte; Chiu Man Ho; Zibo Meng; Kyoung Mu Lee; Yuxiang Chen; Yutong Wang; Zeyu Long; Chenhao Wang; Yifei Chen; et al. (CoRR, 2021)

PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices. - Fausto Tapia Benavides; Andrey Ignatov; Radu Timofte (CVPR Workshops, 2022)

LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing. - Daniel Wirzberger Raimundo; Andrey Ignatov; Radu Timofte (CVPR Workshops, 2022)

Efficient Single-Image Depth Estimation on Mobile Devices, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Lukasz Treszczotko; Xin Chang; Piotr Ksiazek; Michal Lopuszynski; Maciej Pioro; Rafal Rudnicki; Maciej Smyl; Yujie Ma; Zhenyu Li 007; et al. (ECCV Workshops (3), 2022)

MicroISP: Processing 32MP Photos on Mobile Devices with Deep Learning. - Andrey Ignatov; Anastasia Sycheva; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ECCV Workshops (2), 2022)

Power Efficient Video Super-Resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Cheng-Ming Chiang; Hsien-Kai Kuo; Yu-Syuan Xu; Man-Yu Lee; Allen Lu; Chia-Ming Cheng; Chih-Cheng Chen; Jia-Ying Yong; Hong-Han Shuai; Wen-Huang Cheng; et al. (ECCV Workshops (3), 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (ECCV Workshops (3), 2022)

Learned Smartphone ISP on Mobile GPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Shuai Liu 009; Chaoyu Feng; Furui Bai; Xiaotao Wang; Lei Lei; Ziyao Yi; Yan Xiang; Zibin Liu; Shaoqing Li; Keming Shi; et al. (ECCV Workshops (3), 2022)

Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile AI & AIM 2022 Challenge: Report. - Andrey Ignatov; Radu Timofte; Jin Zhang; Feng Zhang 047; Gaocheng Yu; Zhe Ma; Hongbin Wang 006; Minsu Kwon; Haotian Qian; Wentao Tong; Pan Mu; Ziping Wang; et al. (ECCV Workshops (3), 2022)

PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks. - Andrey Ignatov; Grigory Malivenko; Radu Timofte; Yu Tseng; Yu-Syuan Xu; Po-Hsiang Yu; Cheng-Ming Chiang; Hsien-Kai Kuo; Min-Hung Chen; Chia-Ming Cheng; Luc Van Gool (ICPR, 2022)

Efficient and Accurate Quantized Image Super-Resolution on Mobile NPUs, Mobile AI & AIM 2022 challenge: Report. - Andrey Ignatov; Radu Timofte; Maurizio Denna; Abdel Younes; Ganzorig Gankhuyag; Jingang Huh; Myeong Kyun Kim; Kihwan Yoon; Hyeon-Cheol Moon; Seungho Lee; Yoonsik Choe; Jinwoo Jeong; et al. (CoRR, 2022)

SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking. - Zilin Fang; Andrey Ignatov; Eduard Zamfir; Radu Timofte (ICCV, 2023)

Real-World Mobile Image Denoising Dataset with Efficient Baselines. - Roman Flepp; Andrey Ignatov; Radu Timofte; Luc Van Gool (CVPR, 2024)

Virtually Enriched NYU Depth V2 Dataset for Monocular Depth Estimation: Do We Need Artificial Augmentation? - Dmitry Ignatov; Andrey Ignatov; Radu Timofte (CVPR Workshops, 2024)

Histopathological Image Classification with Cell Morphology Aware Deep Neural Networks. - Andrey Ignatov; Josephine Yates; Valentina Boeva (CVPR Workshops, 2024)

NCT-CRC-HE: Not All Histopathological Datasets are Equally Useful. - Andrey Ignatov; Grigory Malivenko (ECCV Workshops (16), 2024)

Learned Smartphone ISP on Mobile GPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Cheng Li 009; Lian Liu; Jun Cao; Heng Sun; Wu Pan; Song Wang; Keqiang Yu; Shuo Liu; Hongqin He; et al. (CVPR Workshops, 2025)

RGB Photo Enhancement on Mobile GPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Wu Pan; Song Wang; Dong Zhang; Zhao Ran; Xiaochen Li; Shichang Ju; Diankai Zhang; Biao Wu; Shaoli Liu; et al. (CVPR Workshops, 2025)

Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2025 Challenge: Report. - Andrey Ignatov; Georgy Perevozchikov; Radu Timofte; Zhiyu Zhang; Tianxiao Gao; Yukun Yang; Shiai Zhu; Shihao Wang; Kihwan Yoon; Ganzorig Gankhuyag; Hyeon-Cheol Moon; Taehyun Jeong; et al. (CVPR Workshops, 2025)