NewEvery arXiv paper, its researchers & institutions — mapped.
papers

Publications (31)

cs.CV2016

Generic 3D Convolutional Fusion for image restoration

Jiqing Wu, Radu Timofte, Luc Van Gool

cs.CV2018

An efficient CNN for spectral reconstruction from RGB images

Yigit Baran Can, Radu Timofte

cs.CV2017

On the Relation between Color Image Denoising and Classification

Jiqing Wu, Radu Timofte, Zhiwu Huang +1

cs.AI2018

AI Benchmark: Running Deep Neural Networks on Android Smartphones

Andrey Ignatov, Radu Timofte, William Chou +4

cs.CV2019

The 2018 PIRM Challenge on Perceptual Image Super-resolution

Yochai Blau, Roey Mechrez, Radu Timofte +2

cs.CV2016

Failure Detection for Facial Landmark Detectors

Andreas Steger, Radu Timofte, Luc Van Gool

cs.CV2017

DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks

Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2

cs.CV2017

ComboGAN: Unrestrained Scalability for Image Domain Translation

Asha Anoosheh, Eirikur Agustsson, Radu Timofte +1

cs.CV2018

O-HAZE: a dehazing benchmark with real hazy and haze-free outdoor images

Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte +1

cs.CV2018

WESPE: Weakly Supervised Photo Enhancer for Digital Cameras

Andrey Ignatov, Nikolay Kobyshev, Radu Timofte +2

cs.CV2019

Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images

Codruta O. Ancuti, Cosmin Ancuti, Mateu Sbert +1

cs.CV2018

Towards Spectral Estimation from a Single RGB Image in the Wild

Berk Kaya, Yigit Baran Can, Radu Timofte

cs.CV2017

Single Image Super Resolution - When Model Adaptation Matters

Yudong Liang, Radu Timofte, Jinjun Wang +2

cs.CV2015

Seven ways to improve example-based single image super resolution

Radu Timofte, Rasmus Rothe, Luc Van Gool

cs.CY2017

Evaluating race and sex diversity in the world's largest companies using deep neural networks

Konstantin Chekanov, Polina Mamoshina, Roman V. Yampolskiy +3

cs.CV2019

Exemplar Guided Face Image Super-Resolution without Facial Landmarks

Berk Dogan, Shuhang Gu, Radu Timofte

cs.LG2017

Soft-to-Hard Vector Quantization for End-to-End Learning Compressible Representations

Eirikur Agustsson, Fabian Mentzer, Michael Tschannen +4

cs.CV2019

3D Appearance Super-Resolution with Deep Learning

Yawei Li, Vagia Tsiminaki, Radu Timofte +2

cs.CV2018

Multi-bin Trainable Linear Unit for Fast Image Restoration Networks

Shuhang Gu, Radu Timofte, Luc Van Gool

cs.CV2018

I-HAZE: a dehazing benchmark with real hazy and haze-free indoor images

Codruta O. Ancuti, Cosmin Ancuti, Radu Timofte +1

cs.CV2019

Conditional Probability Models for Deep Image Compression

Fabian Mentzer, Eirikur Agustsson, Michael Tschannen +2

cs.CV2018

Towards Image Understanding from Deep Compression without Decoding

Robert Torfason, Fabian Mentzer, Eirikur Agustsson +3

cs.CV2019

Towards Closing the Gap in Weakly Supervised Semantic Segmentation with DCNNs: Combining Local and Global Models

Christoph Mayer, Radu Timofte, Grégory Paul

cs.LG2016

k2-means for fast and accurate large scale clustering

Eirikur Agustsson, Radu Timofte, Luc Van Gool

cs.CV2018

PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report

Andrey Ignatov, Radu Timofte, Thang Van Vu +45

cs.LG2018

Optimal transport maps for distribution preserving operations on latent spaces of Generative Models

Eirikur Agustsson, Alexander Sage, Radu Timofte +1

cs.CV2016

Fast Optical Flow using Dense Inverse Search

Till Kroeger, Radu Timofte, Dengxin Dai +1

cs.CV2016

Some like it hot - visual guidance for preference prediction

Rasmus Rothe, Radu Timofte, Luc Van Gool

cs.CV2018

Fast Perceptual Image Enhancement

Etienne de Stoutz, Andrey Ignatov, Nikolay Kobyshev +2

cs.CV2019

Night-to-Day Image Translation for Retrieval-based Localization

Asha Anoosheh, Torsten Sattler, Radu Timofte +2

cs.CV2019

PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study

Mehrdad Shoeiby, Antonio Robles-Kelly, Ran Wei +1