RT
Radu Timofte
cs.CVeess.IVcs.LGcs.AIcs.CLcs.MMArtificial Intelligencecs.ROstat.MLcs.GR
On Valency
published · living versionsW_z262g3ck·v1 · currentpublished
Preprints & journals
398 papers in the corpus · 2015–2026Does Local Video Understanding Transfer Across Encounters? The EgoGears Benchmark2609.37938v1 · Yuedong Tan, Lei Qi, Yu Liu et al.2026 · 0 citationsarXiv
LightMIS: Ultra-Lightweight Medical Image Segmentation Without a Stage-Wise Decoder2609.28327v2 · Andrei Arhire, Mihaela-Elena Breaban, Radu Timofte2026 · 0 citationsarXiv
Benchmarking RAW and RGB Restoration in Image Signal Processors2609.02831v1 · Zihao Lu, Radu Timofte, Marcos V. Conde2026 · 0 citationsarXiv
Elastic Token Compression for Pixel-Space Diffusion Transformers2608.29281v1 · Eduard Zamfir, Christian Reisswig, Zongwei Wu et al.2026 · 0 citationsarXiv
Glass Surface Detection Grounded in 3D Visual Geometry2608.26752v1 · Yiwei Lu, Ke Xu, Tao Yan et al.2026 · 0 citationsarXiv
When Simplicity Wins: Bottleneck-Aware Context Modeling for Lightweight Semantic Segmentation2608.18979v1 · Mian Muhammad Naeem Abid, Nancy Mehta, Zongwei Wu et al.2026 · 0 citationsarXiv
Mixture-of-Experts-based Entropy Model for Learned Image Compression2608.10947v1 · Jonas Brenig, Radu Timofte2026 · 0 citationsarXiv
Multiple Scale Latents for Learned Image Compression2608.10952v1 · Jonas Brenig, Radu Timofte2026 · 1 citationarXiv
NTIRE 2026 Low-light Enhancement: Twilight Cowboy Challenge2608.09782v1 · Aleksei Khalin, Egor Ershov, Artyom Panshin et al.2026 · 0 citationsarXiv
Device-First Feedback: Toward Mobile-Native LLM-Driven Neural Architecture Search2608.00078v1 · Saif U Din, Muhammad Ahsan Hussain, Radu Timofte et al.2026 · 0 citationsarXiv
TRaM-VSR: Importance-Aware Token Routing and Merging for One-Step Diffusion Video Super-Resolution2607.22231v1 · Sicheng Gao, Zhuyun Zhou, Yixuan Liu et al.2026 · 0 citationsarXiv
The RealDefocus Benchmark for Defocus Deblurring2607.21078v1 · Tim Seizinger, Zhuyun Zhou, Radu Timofte2026 · 0 citationsarXiv
Similarity-Guided Curriculum Fine-Tuning of LLMs for Neural Architecture Synthesis2607.11591v1 · Anujaya Vijayakumar, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
Systematic Evaluation of Learning Rate Scheduling Strategies Across Heterogeneous Architectures2607.08511v2 · Hafsa Mateen, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
LEMUR 2: Unlocking Neural Network Diversity for AI2607.06839v1 · Tolgay Atinc Uzun, Waleed Khalid, Saif U Din et al.2026 · 0 citationsarXiv
Scaling Closed-Loop Feature Channel Configuration with LLMs2607.20516v1 · Tolgay Atinc Uzun, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
Curating Same-Family Neural Networks for LLM-Guided Model Improvement: A Controlled Case Study2607.05704v2 · Kabir Dev Paul Baghel, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
Understanding the Performance of Deep Computer Vision Models: A Symbolic Regression Approach to Accuracy and Latency Prediction.42451338 · Dhanani, Divyesh Rameshbhai, Kayani, Faraz, Din, Saif U et al.2026 · 0 citationsSensors (Basel, Switzerland). 2026;26(13)
Systematic Exploration of 4-Expert Heterogeneous Mixture-of-Experts via Automated Pipeline Search2606.23739v1 · Yashkumar R Lukhi, Harsh Rameshbhai Moradiya, Radu Timofte et al.2026 · 0 citationsarXiv
Towards Robust Training in NNGPT AutoML Pipeline: A Loss-Optimizer Pairing Selection Study2606.20933v1 · Anton Abramochkin, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
The Third Challenge on Image Denoising at NTIRE 2026: Methods and Results2606.16031v1 · Lei Sun, Hang Guo, Bin Ren et al.2026 · 0 citationsarXiv
Specialist-Generalist Fusion with Outcome-Supervised Rationales for Deepfake Detection2605.31192v2 · Benedikt Hopf, Zongwei Wu, Radu Timofte2026 · 0 citationsarXiv
Convergence Theory for Iterative LLM-Based Neural Architecture Search: A Parametric Cross-Entropy Framework with Closed-Form Proxy Reliability2605.30103v1 · Santosh Premi Adhikari, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
Delta-Based Neural Architecture Search: LLM Fine-Tuning via Code Diffs2605.04903v1 · Santosh Premi Adhikari, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
The First Controllable Bokeh Rendering Challenge at NTIRE 20262605.05510v1 · Tim Seizinger, Florin-Alexandru Vasluianu, Jeffrey Chen et al.2026 · 0 citations2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
deSEO: Physics-Aware Dataset Creation for High-Resolution Satellite Image Shadow Removal2605.03610v1 · Lorenzo Beltrame, Jules Salzinger, Filip Svoboda et al.2026 · 0 citationsarXiv
Real Image Denoising with Knowledge Distillation for High-Performance Mobile NPUs2605.03680v1 · Faraz Kayani, Sarmad Kayani, Asad Ahmed et al.2026 · 0 citationsProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2026, pp. 3792-3800
From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT2605.03686v2 · Mahmoud Hanouneh, Radu Timofte, Dmitry Ignatov2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Efficient Low Light Image Enhancement: Methods and Results2605.02212v1 · Jiebin Yan, Chenyu Tu, Weixia Zhang et al.2026 · 0 citationsarXiv
Spec-ViT: A Vision Transformer With Wavelet for Anti-Aliasing and Denoising in Medical Image Classification.41343308 · Zhang, Xiong, Wang, Le, Rao, Yanying et al.2026 · 4 citationsIEEE journal of biomedical and health informatics. 2026;30(5):3754-3767
Robust Deepfake Detection, NTIRE 2026 Challenge: Report2604.24163v1 · Benedikt Hopf, Radu Timofte, Chenfan Qu et al.2026 · 0 citationsarXiv
The First Challenge on Remote Sensing Infrared Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview2604.21312v1 · Kai Liu, Haoyang Yue, Zeli Lin et al.2026 · 0 citationsarXiv
The First Challenge on Mobile Real-World Image Super-Resolution at NTIRE 2026: Benchmark Results and Method Overview2604.17306v1 · Jiatong Li, Zheng Chen, Kai Liu et al.2026 · 0 citationsarXiv
Low Light Image Enhancement Challenge at NTIRE 20262604.17669v2 · George Ciubotariu, Sharif S M A, Abdur Rehman et al.2026 · 0 citationsarXiv
Adverse-to-the-eXtreme Panoptic Segmentation: URVIS 2026 Study and Benchmark2604.16984v1 · Yiting Wang, Nolwenn Peyratout, Tim Brodermann et al.2026 · 0 citationsarXiv
MobileAgeNet: Lightweight Facial Age Estimation for Mobile Deployment2604.17007v1 · Arun Kumar, Aswathy Baiju, Radu Timofte et al.2026 · 0 citationsProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), pp. 3810-3818, 2026
NTIRE 2026 Rip Current Detection and Segmentation (RipDetSeg) Challenge Report2604.17070v2 · Andrei Dumitriu, Aakash Ralhan, Florin Miron et al.2026 · 0 citations2026 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
Winner of CVPR2026 NTIRE Challenge on Image Shadow Removal: Semantic and Geometric Guidance for Shadow Removal via Cascaded Refinement2604.16177v2 · Lorenzo Beltrame, Jules Salzinger, Filip Svoboda et al.2026 · 0 citationsarXiv
The Fourth Challenge on Image Super-Resolution ($\times$4) at NTIRE 2026: Benchmark Results and Method Overview2604.14558v1 · Zheng Chen, Kai Liu, Jingkai Wang et al.2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Video Saliency Prediction: Methods and Results2604.14816v1 · Andrey Moskalenko, Alexey Bryncev, Ivan Kosmynin et al.2026 · 0 citationsarXiv
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Professional Image Quality Assessment (Track 1)2604.12512v1 · Guanyi Qin, Jie Liang, Bingbing Zhang et al.2026 · 0 citationsarXiv
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: AI Flash Portrait (Track 3)2604.11230v1 · Ya-nan Guan, Shaonan Zhang, Hang Guo et al.2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Robust AI-Generated Image Detection in the Wild2604.11487v1 · Aleksandr Gushchin, Khaled Abud, Ekaterina Shumitskaya et al.2026 · 0 citationsarXiv
The Second Challenge on Cross-Domain Few-Shot Object Detection at NTIRE 2026: Methods and Results2604.11998v1 · Xingyu Qiu, Yuqian Fu, Jiawei Geng et al.2026 · 0 citationsarXiv
The Second Challenge on Real-World Face Restoration at NTIRE 2026: Methods and Results2604.10532v2 · Jingkai Wang, Jue Gong, Zheng Chen et al.2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Short-form UGC Video Restoration in the Wild with Generative Models: Datasets, Methods and Results2604.10551v1 · Xin Li, Jiachao Gong, Xijun Wang et al.2026 · 0 citationsarXiv
NTIRE 2026 The Second Challenge on Day and Night Raindrop Removal for Dual-Focused Images: Methods and Results2604.10634v2 · Xin Li, Yeying Jin, Suhang Yao et al.2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Single Image Reflection Removal in the Wild: Datasets, Results, and Methods2604.10321v3 · Jie Cai, Kangning Yang, Zhiyuan Li et al.2026 · 0 citationsarXiv
NTIRE 2026 The 3rd Restore Any Image Model (RAIM) Challenge: Multi-Exposure Image Fusion in Dynamic Scenes (Track 2)2604.09030v1 · Lishen Qu, Yao Liu, Jie Liang et al.2026 · 0 citationsarXiv
NTIRE 2026 Challenge on Bitstream-Corrupted Video Restoration: Methods and Results2604.06945v3 · Wenbin Zou, Tianyi Liu, Kejun Wu et al.2026 · 0 citationsarXiv
Career total: 672 works. 398 are in this corpus.Showing the 50 most recent.
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