Multi-attention Networks for Temporal Localization of Video-level Labels. - Lijun Zhang; Srinath Nizampatnam; Ahana Gangopadhyay; Marcos V. Conde (CoRR, 2019)

Weakly-Supervised Classification and Detection of Bird Sounds in the Wild. A BirdCLEF 2021 Solution. - Marcos V. Conde; Kumar Shubham; Prateek Agnihotri; Nitin D. Movva; Szilard Bessenyei (CLEF (Working Notes), 2021)

CLIP-Art: Contrastive Pre-Training for Fine-Grained Art Classification. - Marcos V. Conde; Kerem Turgutlu (CVPR Workshops, 2021)

Exploring Vision Transformers for Fine-grained Classification. - Marcos V. Conde; Kerem Turgutlu (CoRR, 2021)

An Embarrassingly Pragmatic Introduction to Vision-based Autonomous Robots. - Marcos V. Conde (CoRR, 2021)

Model-Based Image Signal Processors via Learnable Dictionaries. - Marcos V. Conde; Steven McDonagh 001; Matteo Maggioni; Ales Leonardis; Eduardo Pérez-Pellitero (AAAI, 2022)

Few-shot Long-Tailed Bird Audio Recognition. - Marcos V. Conde; Ui-Jin Choi (CLEF (Working Notes), 2022)

Conformer and Blind Noisy Students for Improved Image Quality Assessment. - Marcos V. Conde; Maxime Burchi; Radu Timofte (CVPR Workshops, 2022)

NTIRE 2022 Challenge on Perceptual Image Quality Assessment. - Jinjin Gu; Haoming Cai; Chao Dong 005; Jimmy S. Ren; Radu Timofte; Yuan Gong 002; Shanshan Lao; Shuwei Shi; Jiahao Wang; Sidi Yang; Tianhe Wu; Weihao Xia 001; et al. (CVPR Workshops, 2022)

Swin2SR: SwinV2 Transformer for Compressed Image Super-Resolution and Restoration. - Marcos V. Conde; Ui-Jin Choi; Maxime Burchi; Radu Timofte (ECCV Workshops (2), 2022)

Reversed Image Signal Processing and RAW Reconstruction. AIM 2022 Challenge Report. - Marcos V. Conde; Radu Timofte; Yibin Huang; Jingyang Peng; Chang Chen; Cheng Li 009; Eduardo Pérez-Pellitero; Fenglong Song; Furui Bai; Shuai Liu 009; Chaoyu Feng; Xiaotao Wang; et al. (ECCV Workshops (3), 2022)

Real-Time Under-Display Cameras Image Restoration and HDR on Mobile Devices. - Marcos V. Conde; Florin-Alexandru Vasluianu; Sabari Nathan; Radu Timofte (ECCV Workshops (2), 2022)

MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results. - Ruicheng Feng; Chongyi Li; Shangchen Zhou; Wenxiu Sun; Qingpeng Zhu; Jun Jiang; Qingyu Yang; Chen Change Loy; Jinwei Gu; Yurui Zhu; Xi Wang; Xueyang Fu; et al. (ECCV Workshops (5), 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)

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)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (ECCV Workshops (3), 2022)

Exploring Attention GAN for Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Miguel Ortiz; Santiago Montiel; Rafael Barea; Luis Miguel Bergasa (ITSC, 2022)

Exploring Map-based Features for Efficient Attention-based Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Miguel Ortiz (CoRR, 2022)

AIM 2022 Challenge on Super-Resolution of Compressed Image and Video: Dataset, Methods and Results. - Ren Yang; Radu Timofte; Xin Li 106; Qi Zhang 029; Lin Zhang 013; Fanglong Liu; Dongliang He; Fu Li 003; He Zheng; Weihang Yuan; Pavel Ostyakov; Dmitry Vyal; et al. (CoRR, 2022)

General Image Descriptors for Open World Image Retrieval using ViT CLIP. - Marcos V. Conde; Ivan Aerlic; Simon Jégou (CoRR, 2022)

A Brief Overview of AI Governance for Responsible Machine Learning Systems. - Navdeep Gill; Abhishek Mathur; Marcos V. Conde (CoRR, 2022)

Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report. - Marcos V. Conde; Manuel Kolmet; Tim Seizinger; Tom E. Bishop; Radu Timofte; Xiangyu Kong; Dafeng Zhang; Jinlong Wu; Fan Wang 005; Juewen Peng; Zhiyu Pan; Chengxin Liu; et al. (CVPR Workshops, 2023)

Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report. - Marcos V. Conde; Eduard Zamfir; Radu Timofte; Daniel Motilla; Cen Liu; Zexin Zhang; Yunbo Peng; Yue Lin 002; Jiaming Guo; Xueyi Zou; Yuyi Chen; Yi Liu; et al. (CVPR Workshops, 2023)

Improving Multi-Agent Motion Prediction with Heuristic Goals and Motion Refinement. - Carlos Gómez Huélamo; Marcos V. Conde; Rafael Barea; Luis Miguel Bergasa (CVPR Workshops, 2023)

Efficient Multi-Lens Bokeh Effect Rendering and Transformation. - Tim Seizinger; Marcos V. Conde; Manuel Kolmet; Tom E. Bishop; Radu Timofte (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Night Photography Rendering. - Alina Shutova; Egor I. Ershov; Georgy Perevozchikov; Ivan Ermakov; Nikola Banic; Radu Timofte; Richard Collins; Maria Efimova; Arseniy P. Terekhin; Simone Zini; Claudio Rota; Marco Buzzelli; et al. (CVPR Workshops, 2023)

Towards Real-Time 4K Image Super-Resolution. - Eduard Zamfir; Marcos V. Conde; Radu Timofte (CVPR Workshops, 2023)

NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results. - Yulun Zhang 001; Kai Zhang 008; Zheng Chen 014; Yawei Li 001; Radu Timofte; Junpei Zhang; Kexin Zhang 003; Rui Peng; Yanbiao Ma; Licheng Jia; Huaibo Huang; Xiaoqiang Zhou; et al. (CVPR Workshops, 2023)

H2O Open Ecosystem for State-of-the-art Large Language Models. - Arno Candel; Jon McKinney; Philipp Singer; Pascal Pfeiffer; Maximilian Jeblick; Chun Ming Lee; Marcos V. Conde (EMNLP (Demos), 2023)

Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction. - Carlos Gómez Huélamo; Marcos V. Conde; Rodrigo Gutiérrez-Moreno; Rafael Barea; Angel Llamazares; Miguel Antunes; Luis Miguel Bergasa (ITSC, 2023)

Perceptual Image Enhancement for Smartphone Real-Time Applications. - Marcos V. Conde; Florin-Alexandru Vasluianu; Javier Vazquez-Corral; Radu Timofte (WACV, 2023)

h2oGPT: Democratizing Large Language Models. - Arno Candel; Jon McKinney; Philipp Singer; Pascal Pfeiffer; Maximilian Jeblick; Prithvi Prabhu; Jeff Gambera; Mark Landry; Shivam Bansal; Ryan Chesler; Chun Ming Lee; Marcos V. Conde; et al. (CoRR, 2023)

Rapid Deforestation and Burned Area Detection using Deep Multimodal Learning on Satellite Imagery. - Gábor Fodor 003; Marcos V. Conde (CoRR, 2023)

NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement. - Marcos V. Conde; Javier Vazquez-Corral; Michael S. Brown; Radu Timofte (AAAI, 2024)

Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. - Nicolas Chahine; Marcos V. Conde; Daniela Carfora; Gabriel Pacianotto; Benoit Pochon; Sira Ferradans; Radu Timofte; Zhichao Duan 002; Xinrui Xu; Yipo Huang; Quan Yuan; Xiangfei Sheng; et al. (CVPR Workshops, 2024)

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. - Marcos V. Conde; Zhijun Lei; Wen Li; Ioannis Katsavounidis; Radu Timofte; Min Yan; Xin Liu; Qian Wang; Xiaoqian Ye; Zhan Du; Tiansen Zhang; Zhiyuan Li; et al. (CVPR Workshops, 2024)

Deep RAW Image Super-Resolution. A NTIRE 2024 Challenge Survey. - Marcos V. Conde; Florin-Alexandru Vasluianu; Radu Timofte; Jianxing Zhang; Jia Li 044; Fan Wang 005; Xiaopeng Li; Zikun Liu; Hyunhee Park; Sejun Song; Changho Kim; Zhijuan Huang; et al. (CVPR Workshops, 2024)

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. - Marcos V. Conde; Saman Zadtootaghaj; Nabajeet Barman; Radu Timofte; Chenlong He; Qi Zheng 004; Ruoxi Zhu; Zhengzhong Tu; Haiqiang Wang; Xiangguang Chen; Wenhui Meng; Xiang Pan; et al. (CVPR Workshops, 2024)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CVPR Workshops, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CVPR Workshops, 2024)

Event-Based Eye Tracking. AIS 2024 Challenge Survey. - Zuowen Wang; Chang Gao 002; Zongwei Wu; Marcos V. Conde; Radu Timofte; Shih-Chii Liu; Qinyu Chen; Zhengjun Zha; Wei Zhai; Han Han; Bohao Liao; Yuliang Wu; et al. (CVPR Workshops, 2024)

InstructIR: High-Quality Image Restoration Following Human Instructions. - Marcos V. Conde; Gregor Geigle; Radu Timofte (ECCV (36), 2024)

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content. - Marcos V. Conde; Zhijun Lei; Wen Li 001; Christos G. Bampis; Ioannis Katsavounidis; Radu Timofte; Qing Luo; Jie Song; Linyan Jiang; Haibo Lei; Yaqing Li; Ziqi Luo; et al. (ECCV Workshops (10), 2024)

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. - Marcos V. Conde; Florin-Alexandru Vasluianu; Jinhui Xiong; Wei Ye; Rakesh Ranjan; Radu Timofte; Huan Zheng; Wencheng Han; Tianyi Yan; Jianbing Shen; Pihai Sun; Yuanqi Yao; et al. (ECCV Workshops (10), 2024)

AIM 2024 Challenge on UHD Blind Photo Quality Assessment. - Vlad Hosu; Marcos V. Conde; Lorenzo Agnolucci; Nabajeet Barman; Saman Zadtootaghaj; Radu Timofte; Wei Sun 029; Weixia Zhang; Yuqin Cao; Linhan Cao; Jun Jia; Zijian Chen 001; et al. (ECCV Workshops (10), 2024)

Streaming Neural Images. - Marcos V. Conde; Andy Bigos; Radu Timofte (ICIP, 2024)

Toward Efficient Deep Blind Raw Image Restoration. - Marcos V. Conde; Florin-Alexandru Vasluianu; Radu Timofte (ICIP, 2024)

Simple Image Signal Processing using Global Context Guidance. - Omar Elezabi; Marcos V. Conde; Radu Timofte (ICIP, 2024)

BSRAW: Improving Blind RAW Image Super-Resolution. - Marcos V. Conde; Florin-Alexandru Vasluianu; Radu Timofte (WACV, 2024)

High-Quality Image Restoration Following Human Instructions. - Marcos V. Conde; Gregor Geigle; Radu Timofte (CoRR, 2024)

Deep Portrait Quality Assessment. A NTIRE 2024 Challenge Survey. - Nicolas Chahine; Marcos V. Conde; Daniela Carfora; Gabriel Pacianotto; Benoit Pochon; Sira Ferradans; Radu Timofte (CoRR, 2024)

NTIRE 2024 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Ao Li 007; Florin-Alexandru Vasluianu; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Zhi Jin; Hongjun Wu; Chenxi Wang; et al. (CoRR, 2024)

AIS 2024 Challenge on Video Quality Assessment of User-Generated Content: Methods and Results. - Marcos V. Conde; Saman Zadtootaghaj; Nabajeet Barman; Radu Timofte; Chenlong He; Qi Zheng 004; Ruoxi Zhu; Zhengzhong Tu; Haiqiang Wang; Xiangguang Chen; Wenhui Meng; Xiang Pan; et al. (CoRR, 2024)

Real-Time 4K Super-Resolution of Compressed AVIF Images. AIS 2024 Challenge Survey. - Marcos V. Conde; Zhijun Lei; Wen Li; Cosmin Stejerean; Ioannis Katsavounidis; Radu Timofte; Kihwan Yoon; Ganzorig Gankhuyag; Jiangtao Lv; Long Sun; Jinshan Pan; Jiangxin Dong; et al. (CoRR, 2024)

NTIRE 2024 Quality Assessment of AI-Generated Content Challenge. - Xiaohong Liu 001; Xiongkuo Min; Guangtao Zhai; Chunyi Li; Tengchuan Kou; Wei Sun 029; Haoning Wu 001; Yixuan Gao; Yuqin Cao; Zicheng Zhang; Xiele Wu; Radu Timofte; et al. (CoRR, 2024)

Extreme Compression of Adaptive Neural Images. - Leo Hoshikawa; Marcos V. Conde; Takeshi Ohashi 002; Atsushi Irie (CoRR, 2024)

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results. - Marcos V. Conde; Florin-Alexandru Vasluianu; Jinhui Xiong; Wei Ye; Rakesh Ranjan; Radu Timofte (CoRR, 2024)

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content. - Marcos V. Conde; Zhijun Lei; Wen Li 001; Christos G. Bampis; Ioannis Katsavounidis; Radu Timofte (CoRR, 2024)

INRetouch: Context Aware Implicit Neural Representation for Photography Retouching. - Omar Elezabi; Marcos V. Conde; Zongwei Wu; Radu Timofte (CoRR, 2024)

Efficient Baselines for Motion Prediction in Autonomous Driving. - Carlos Gómez Huélamo; Marcos V. Conde; Rafael Barea; Manuel Ocaña; Luis Miguel Bergasa (IEEE Trans. Intell. Transp. Syst., 2024)

NTIRE 2025 Challenge on Image Super-Resolution (x4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. - Xin Li 082; Yeying Jin; Xin Jin; Zongwei Wu; Bingchen Li; Yufei Wang; Wenhan Yang; Yu Li; Zhibo Chen 001; Bihan Wen; Robby T. Tan; Radu Timofte; et al. (CVPR Workshops, 2025)

RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report. - Marcos V. Conde; Radu Timofte; Radu Berdan; Beril Besbinar; Daisuke Iso (CVPR Workshops, 2025)

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution. - Marcos V. Conde; Radu Timofte; Zihao Lu; Xiangyu Kong; Xiaoxia Xing; Fan Wang 005; Suejin Han; MinKyu Park; Tianyu Hao; Yuhong He; Ruoqi Li; Yueqi Yang; et al. (CVPR Workshops, 2025)

DarkIR: Robust Low-Light Image Restoration. - Daniel Feijoo; Juan C. Benito; Álvaro García; Marcos V. Conde (CVPR, 2025)

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results. - Sangmin Lee; Eunpil Park; Angel Canelo; Hyunhee Park; Youngjo Kim; Hyung-Ju Chun; Xin Jin; Chongyi Li; Chun-Le Guo; Radu Timofte; Qi Wu; Tianheng Qiu; et al. (CVPR Workshops, 2025)

NTIRE 2025 Challenge on Low Light Image Enhancement: Methods and Results. - Xiaoning Liu 003; Zongwei Wu; Florin-Alexandru Vasluianu; Hailong Yan; Bin Ren; Yulun Zhang 001; Shuhang Gu; Le Zhang 001; Ce Zhu; Radu Timofte; Kangbiao Shi; Yixu Feng; et al. (CVPR Workshops, 2025)

FLOL: Fast Baselines for Real-World Low-Light Enhancement. - Juan C. Benito; Daniel Feijoo; Álvaro García; Marcos V. Conde (CoRR, 2025)

Bokehlicious: Photorealistic Bokeh Rendering with Controllable Apertures. - Tim Seizinger; Florin-Alexandru Vasluianu; Marcos V. Conde; Zongwei Wu; Radu Timofte (CoRR, 2025)

NTIRE 2025 Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results. - Xin Li 082; Yeying Jin; Xin Jin; Zongwei Wu; Bingchen Li; Yufei Wang; Wenhan Yang; Yu Li; Zhibo Chen 001; Bihan Wen; Robby T. Tan; Radu Timofte; et al. (CoRR, 2025)

NTIRE 2025 Challenge on Image Super-Resolution (⨉4): Methods and Results. - Zheng Chen 014; Kai Liu; Jue Gong; Jingkai Wang 003; Lei Sun 016; Zongwei Wu; Radu Timofte; Yulun Zhang 001; Xiangyu Kong; Xiaoxuan Yu; Hyunhee Park; Suejin Han; et al. (CoRR, 2025)

NTIRE 2025 Challenge on Efficient Burst HDR and Restoration: Datasets, Methods, and Results. - Sangmin Lee; Eunpil Park; Angel Canelo; Hyunhee Park; Youngjo Kim; Hyung-Ju Chun; Xin Jin; Chongyi Li; Chun-Le Guo; Radu Timofte; Qi Wu; Tianheng Qiu; et al. (CoRR, 2025)

RAW Image Reconstruction from RGB on Smartphones. NTIRE 2025 Challenge Report. - Marcos V. Conde; Radu Timofte; Radu Berdan; Beril Besbinar; Daisuke Iso; Pengzhou Ji; Xiong Dun; Zeying Fan; Chen Wu; Zhansheng Wang; Pengbo Zhang; Jiazi Huang; et al. (CoRR, 2025)

NTIRE 2025 Challenge on RAW Image Restoration and Super-Resolution. - Marcos V. Conde; Radu Timofte; Zihao Lu; Xiangyu Kong; Xiaoxia Xing; Fan Wang 005; Suejin Han; MinKyu Park; Tianyu Zhang; Xin Luo; Yeda Chen; Dong Liu 002; et al. (CoRR, 2025)

Towards Unified Image Deblurring using a Mixture-of-Experts Decoder. - Daniel Feijoo; Paula Garrido-Mellado; Jaesung Rim; Álvaro García; Marcos V. Conde (CoRR, 2025)