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Radu Timofte

Humboldt Professor for AI and Computer Vision (Full)

University of Würzburg

Germany

Research Interests

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Professors in Germany Professors in Medical Imaging Medical Imaging professors in Germany

Articles (30)

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2027

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2021

Collaborators (10)

JUNSEO BANG

Seoul National University

SOUTH KOREA

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Nabajeet Barman

Lecturer in Applied Computer Science

Kingston University

UNITED KINGDOM

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Ender Konukoglu

Associate Professor

ETH Zürich

SWITZERLAND

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Tong Xi

Radboud University Medical Center

NETHERLANDS

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Yawei Li

Nanyang Assistant Professor

Nanyang Technological University (NTU)

SINGAPORE

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Francesca Odone

University of Genoa

ITALY

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Achim Walter

Professor of Crop Science

ETH-Bereich Hochschulen

SWITZERLAND

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Jiezhang Cao

ETH Zürich

SWITZERLAND

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Fan Zhang

Academic , Senior Lecturer

University of Bristol

UNITED KINGDOM

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Luc Van Gool

professor

sofia university “st. kliment ohridski”

BULGARIA

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Radu Timofte

Research Interests

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Articles (30)

Evaluating Feedback by Iterative Repair of Multi-step Solution Documents

InkTree: A Unified Representation of Structured Online Ink

P$$^4$$: Place with Purpose – Pose and Prompt-Guided Human Synthesis in Real Scenes

Empowering Image Restoration: A Multi-Attention Approach

A hybrid Mamba–Transformer model for image restoration

Editorial for Special Issue on Multimodal Learning, Temporal Modeling, and Foundation Models for Video Understanding

Understanding the Performance of Deep Computer Vision Models: A Symbolic Regression Approach to Accuracy and Latency Prediction

Spec-ViT: A Vision Transformer With Wavelet for Anti-Aliasing and Denoising in Medical Image Classification

Applying artificial intelligence to assess the impact of orthognathic treatment on gender-affirming facial features

Experts-Guided Unbalanced Optimal Transport for ISP Learning from Unpaired and/or Paired Data

Calibration-Free Raw Image Denoising via Fine-Grained Noise Estimation

When super-resolution meets camouflaged object detection: A comparison study

AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content

AIM 2024 Challenge on UHD Blind Photo Quality Assessment

AIM 2024 Challenge on Video Super-Resolution Quality Assessment: Methods and Results

Compressed Depth Map Super-Resolution and Restoration: AIM 2024 Challenge Results

Higher Fidelity Perceptual Image and Video Compression with a Latent Conditioned Residual Denoising Diffusion Model

InstructIR: High-Quality Image Restoration Following Human Instructions

Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs

TASOD: A Data Collection for Tiny and Small Object Detection

Practical Blind Image Denoising via Swin-Conv-UNet and Data Synthesis

Advancing Learned Video Compression With In-Loop Frame Prediction

MASIC: Deep Mask Stereo Image Compression

PDC-Net+: Enhanced Probabilistic Dense Correspondence Network

Efficient and robust eye images iris segmentation using a lightweight U-net convolutional network

Outdoor Plant Segmentation With Deep Learning for High-Throughput Field Phenotyping on a Diverse Wheat Dataset

Video super-resolution based on deep learning: a comprehensive survey

Towards closing the gap in weakly supervised semantic segmentation with DCNNs: Combining local and global models

Editorial: Introduction to the Issue on Deep Learning for Image/Video Restoration and Compression

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

Collaborators (10)

JUNSEO BANG

Nabajeet Barman

Ender Konukoglu

Tong Xi

Yawei Li

Francesca Odone

Achim Walter

Jiezhang Cao

Fan Zhang

Luc Van Gool

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