Index for timo

Timofeev, A. Co Author Listing * Scalability in Perception for Autonomous Driving: Waymo Open Dataset

Timofeeva, N. Co Author Listing * Stain Specific Standardization of Whole-Slide Histopathological Images

Timofeyev, Y.[Yuri] Co Author Listing * Complex Validation of Weather Research and Forecasting: Chemistry Modelling of Atmospheric CO2 in the Coastal Cities of the Gulf of Finland
* Measurements and Modelling of Total Ozone Columns near St. Petersburg, Russia
* Six Years of IKFS-2 Global Ozone Total Column Measurements
Includes: Timofeyev, Y.[Yuri] Timofeyev, Y.[Yury]

Timofte, F.[Fabian] Co Author Listing * Assessment of Spatio-Temporal Landscape Changes from VHR Images in Three Different Permafrost Areas in the Western Russian Arctic
* Deserted Medieval Village Reconstruction Using Applied Geosciences

Timofte, R.[Radu] Co Author Listing * email: Timofte, R.[Radu]: radu timofte AT vision ee ethz ch
* 2018 PIRM Challenge on Perceptual Image Super-Resolution, The
* 3D Appearance Super-Resolution With Deep Learning
* A+: Adjusted Anchored Neighborhood Regression for Fast Super-Resolution
* Adaptive and Weighted Collaborative Representations for image classification
* Advancing Learned Video Compression With In-Loop Frame Prediction
* Adversarial feature distribution alignment for semi-supervised learning
* Adversarial Sampling for Active Learning
* AI Benchmark: All About Deep Learning on Smartphones in 2019
* AI Benchmark: Running Deep Neural Networks on Android Smartphones
* AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results
* AIM 2019 Challenge on Constrained Super-Resolution: Methods and Results
* AIM 2019 Challenge on Image Demoireing: Dataset and Study
* AIM 2019 Challenge on Image Demoireing: Methods and Results
* AIM 2019 Challenge on Image Extreme Super-Resolution: Methods and Results
* AIM 2019 Challenge on RAW to RGB Mapping: Methods and Results
* AIM 2019 Challenge on Real-World Image Super-Resolution: Methods and Results
* AIM 2019 Challenge on Video Extreme Super-Resolution: Methods and Results
* AIM 2019 Challenge on Video Temporal Super-Resolution: Methods and Results
* AIM 2022 Challenge on Instagram Filter Removal: Methods and Results
* AIM 2022 Challenge on Super-resolution of Compressed Image and Video: Dataset, Methods and Results
* Alignment-free HDR Deghosting with Semantics Consistent Transformer
* Anchored fusion for image restoration
* Anchored Neighborhood Regression for Fast Example-Based Super-Resolution
* Anchored Regression Networks Applied to Age Estimation and Super Resolution
* Apparent and Real Age Estimation in Still Images with Deep Residual Regressors on Appa-Real Database
* Arbitrary-Scale Image Synthesis
* Audio-Visual Efficient Conformer for Robust Speech Recognition
* Automatic Stave Discovery for Musical Facsimiles
* CARN: Convolutional Anchored Regression Network for Fast and Accurate Single Image Super-Resolution
* CDDFuse: Correlation-Driven Dual-Branch Feature Decomposition for Multi-Modality Image Fusion
* CiaoSR: Continuous Implicit Attention-in-Attention Network for Arbitrary-Scale Image Super-Resolution
* Coarse-to-Fine Sparse Transformer for Hyperspectral Image Reconstruction
* ComboGAN: Unrestrained Scalability for Image Domain Translation
* Conditional Probability Models for Deep Image Compression
* Conformer and Blind Noisy Students for Improved Image Quality Assessment
* DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion
* Deep Burst Super-Resolution
* Deep Expectation of Real and Apparent Age from a Single Image Without Facial Landmarks
* Deep Features or Not: Temperature and Time Prediction in Outdoor Scenes
* Deep Homography for Efficient Stereo Image Compression
* Deep Reparametrization of Multi-Frame Super-Resolution and Denoising
* Deep Unfolding Network for Image Super-Resolution
* Deepsee: Deep Disentangled Semantic Explorative Extreme Super-resolution
* DeFlow: Learning Complex Image Degradations from Unpaired Data with Conditional Flows
* Demosaicing Based on Directional Difference Regression and Efficient Regression Priors
* Denoising Diffusion Models for Plug-and-Play Image Restoration
* Dense-Haze: A Benchmark for Image Dehazing with Dense-Haze and Haze-Free Images
* Designing a Practical Degradation Model for Deep Blind Image Super-Resolution
* DEX: Deep EXpectation of Apparent Age from a Single Image
* DHP: Differentiable Meta Pruning via Hypernetworks
* Discovery of Sets of Mutually Orthogonal Vanishing Points in Videos
* DIV8K: DIVerse 8K Resolution Image Dataset
* DLDR: Deep Linear Discriminative Retrieval for Cultural Event Classification from a Single Image
* DSLR-Quality Photos on Mobile Devices with Deep Convolutional Networks
* Early Adaptation of Deep Priors in Age Prediction from Face Images
* Efficient and Accurate Quantized Image Super-Resolution on Mobile Npus, Mobile Ai & Aim 2022 Challenge: Report
* Efficient and Explicit Modelling of Image Hierarchies for Image Restoration
* Efficient CNN Architecture for Multi-modal Aerial View Object Classification
* Efficient Deep Models for Real-Time 4K Image Super-Resolution. NTIRE 2023 Benchmark and Report
* Efficient Multi-Lens Bokeh Effect Rendering and Transformation
* Efficient Recurrent Adversarial Framework for Unsupervised Real-Time Video Enhancement, An
* Efficient regression priors for post-processing demosaiced images
* Efficient regression priors for reducing image compression artifacts
* Efficient Single-image Depth Estimation on Mobile Devices, Mobile Ai & Aim 2022 Challenge: Report
* Efficient Video Enhancement Transformer
* Efficient Video Semantic Segmentation with Labels Propagation and Refinement
* Efficient Video Super-Resolution through Recurrent Latent Space Propagation
* Elastic Deformation Field Model for Object Detection and Tracking, An
* Extremely Weak Supervised Image-to-Image Translation for Semantic Segmentation
* Failure Detection for Facial Landmark Detectors
* Fast and Accurate Camera Scene Detection on Smartphones
* Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
* Fast and Accurate Single-Image Depth Estimation on Mobile Devices, Mobile AI 2021 Challenge: Report
* Fast Camera Image Denoising on Mobile GPUs with Deep Learning, Mobile AI 2021 Challenge: Report
* Fast Image Restoration With Multi-Bin Trainable Linear Units
* Fast Online Video Super-Resolution with Deformable Attention Pyramid
* Fast Optical Flow Using Dense Inverse Search
* Fast Perceptual Image Enhancement
* Fast Stixel Computation for Fast Pedestrian Detection
* Flow-based Kernel Prior with Application to Blind Super-Resolution
* Four Color Theorem for Fast Early Vision
* Fourier Space Losses for Efficient Perceptual Image Super-Resolution
* Frequency Separation for Real-World Super-Resolution
* From Face Images and Attributes to Attributes
* Generalized Real-World Super-Resolution through Adversarial Robustness
* Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos
* Generative Adversarial Networks for Extreme Learned Image Compression
* Generative Adversarial Style Transfer Networks for Face Aging
* Generative Flows with Invertible Attentions
* Generic 3D Convolutional Fusion for Image Restoration
* GLU-Net: Global-Local Universal Network for Dense Flow and Correspondences
* Graph Transformer GANs for Graph-Constrained House Generation
* Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
* Guest Editorial: Vision and Computational Photography and Graphics
* Handling Occlusions with Franken-Classifiers
* HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging
* Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures, The
* Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling
* Hough Transform and 3D SURF for Robust Three Dimensional Classification
* I-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Indoor Images
* In Defense of Shallow Learned Spectral Reconstruction from RGB Images
* Integrating Local and Non-local Denoiser Priors for Image Restoration
* Integrating Object Detection with 3D Tracking Towards a Better Driver Assistance System
* Iterative Nearest Neighbors
* Iterative Nearest Neighbors for classification and dimensionality reduction
* Jointly Optimized Regressors for Image Super-resolution
* Know Your Surroundings: Exploiting Scene Information for Object Tracking
* LAN: Lightweight Attention-based Network for RAW-to-RGB Smartphone Image Processing
* Learned Collaborative Representations for Image Classification
* Learned Dynamic Guidance for Depth Image Reconstruction
* Learned image and video compression with deep neural networks
* Learned Smartphone ISP on Mobile GPUS with Deep Learning, Mobile Ai & AIM 2022 Challenge: Report
* Learned Smartphone ISP on Mobile NPUs with Deep Learning, Mobile AI 2021 Challenge: Report
* Learning Accurate Dense Correspondences and When to Trust Them
* Learning Discriminative Model Prediction for Tracking
* Learning Filter Basis for Convolutional Neural Network Compression
* Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement
* Learning What to Learn for Video Object Segmentation
* Lens-to-Lens Bokeh Effect Transformation. NTIRE 2023 Challenge Report
* Leveraging observation uncertainty for robust visual tracking
* Leveraging single for multi-target tracking using a novel trajectory overlap affinity measure
* Logo Synthesis and Manipulation with Clustered Generative Adversarial Networks
* LSDIR: A Large Scale Dataset for Image Restoration
* Make my day: High-fidelity color denoising with Near-Infrared
* MASIC: Deep Mask Stereo Image Compression
* Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction
* Metric imitation by manifold transfer for efficient vision applications
* Microisp: Processing 32mp Photos on Mobile Devices with Deep Learning
* MIPI 2022 Challenge on Under-Display Camera Image Restoration: Methods and Results
* MST++: Multi-stage Spectral-wise Transformer for Efficient Spectral Reconstruction
* Multi-view manhole detection, recognition, and 3D localisation
* Multi-view traffic sign detection, recognition, and 3D localisation
* Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution
* Naive Bayes Image Classification: Beyond Nearest Neighbors
* NH-HAZE: An Image Dehazing Benchmark with Non-Homogeneous Hazy and Haze-Free Images
* Ninth Visual Object Tracking VOT2021 Challenge Results, The
* Non-parametric motion-priors for flow understanding
* Normalizing Flow as a Flexible Fidelity Objective for Photo-Realistic Super-resolution
* NTIRE 2017 Challenge on Single Image Super-Resolution: Dataset and Study
* NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results
* NTIRE 2018 Challenge on Image Dehazing: Methods and Results
* NTIRE 2018 Challenge on Single Image Super-Resolution: Methods and Results
* NTIRE 2018 Challenge on Spectral Reconstruction from RGB Images
* NTIRE 2020 Challenge on Image and Video Deblurring
* NTIRE 2020 Challenge on Image Demoireing: Methods and Results
* NTIRE 2020 Challenge on NonHomogeneous Dehazing
* NTIRE 2020 Challenge on Perceptual Extreme Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Real Image Denoising: Dataset, Methods and Results
* NTIRE 2020 Challenge on Real-World Image Super-Resolution: Methods and Results
* NTIRE 2020 Challenge on Spectral Reconstruction from an RGB Image
* NTIRE 2020 Challenge on Video Quality Mapping: Methods and Results
* NTIRE 2021 Challenge for Defocus Deblurring Using Dual-pixel Images: Methods and Results
* NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
* NTIRE 2021 Challenge on High Dynamic Range Imaging: Dataset, Methods and Results
* NTIRE 2021 Challenge on Image Deblurring
* NTIRE 2021 Challenge on Perceptual Image Quality Assessment
* NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Dataset and Study
* NTIRE 2021 Challenge on Quality Enhancement of Compressed Video: Methods and Results
* NTIRE 2021 Challenge on Video Super-Resolution
* NTIRE 2021 Depth Guided Image Relighting Challenge
* NTIRE 2021 Learning the Super-Resolution Space Challenge
* NTIRE 2021 Multi-modal Aerial View Object Classification Challenge
* NTIRE 2021 NonHomogeneous Dehazing Challenge Report
* NTIRE 2022 Burst Super-Resolution Challenge
* NTIRE 2022 Challenge on Efficient Super-Resolution: Methods and Results
* NTIRE 2022 Challenge on High Dynamic Range Imaging: Methods and Results
* NTIRE 2022 Challenge on Learning the Super-Resolution Space
* NTIRE 2022 Challenge on Night Photography Rendering
* NTIRE 2022 Challenge on Perceptual Image Quality Assessment
* NTIRE 2022 Challenge on Stereo Image Super-Resolution: Methods and Results
* NTIRE 2022 Challenge on Super-Resolution and Quality Enhancement of Compressed Video: Dataset, Methods and Results
* NTIRE 2022 Image Inpainting Challenge: Report
* NTIRE 2022 Spectral Demosaicing Challenge and Data Set
* NTIRE 2022 Spectral Recovery Challenge and Data Set
* NTIRE 2023 Challenge on 360° Omnidirectional Image and Video Super-Resolution: Datasets, Methods and Results
* NTIRE 2023 Challenge on Efficient Super-Resolution: Methods and Results
* NTIRE 2023 Challenge on HR Depth from Images of Specular and Transparent Surfaces
* NTIRE 2023 Challenge on Image Denoising: Methods and Results
* NTIRE 2023 Challenge on Image Super-Resolution (×4): Methods and Results
* NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results
* NTIRE 2023 Challenge on Night Photography Rendering
* NTIRE 2023 Challenge on Stereo Image Super-Resolution: Methods and Results
* NTIRE 2023 HR NonHomogeneous Dehazing Challenge Report
* NTIRE 2023 Image Shadow Removal Challenge Report
* NTIRE 2023 Quality Assessment of Video Enhancement Challenge
* NTIRE 2023 Video Colorization Challenge
* O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images
* PDC-Net+: Enhanced Probabilistic Dense Correspondence Network
* Pedestrian detection at 100 frames per second
* Perceptual Image Enhancement for Smartphone Real-Time Applications
* PhoneDepth: A Dataset for Monocular Depth Estimation on Mobile Devices
* PICASO: PIxel correspondences and SOft match selection for real-time tracking
* PIRM Challenge on Perceptual Image Enhancement on Smartphones: Report
* PIRM2018 Challenge on Spectral Image Super-Resolution: Dataset and Study
* PIRM2018 Challenge on Spectral Image Super-Resolution: Methods and Results
* Plug-and-Play Image Restoration With Deep Denoiser Prior
* Power Efficient Video Super-resolution on Mobile NPUs with Deep Learning, Mobile AI & AIM 2022 Challenge: Report
* Practical Full Resolution Learned Lossless Image Compression
* Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model
* Probabilistic Regression for Visual Tracking
* PyNet-V2 Mobile: Efficient On-Device Photo Processing With Neural Networks
* Real-Time Quantized Image Super-Resolution on Mobile NPUs, Mobile AI 2021 Challenge: Report
* Real-time Under-display Cameras Image Restoration and HDR on Mobile Devices
* Real-Time Video Super-Resolution on Smartphones with Deep Learning, Mobile AI 2021 Challenge: Report
* Realistic Bokeh Effect Rendering on Mobile GPUs, Mobile Ai & Aim 2022 Challenge: Report
* Regressor Basis Learning for anchored super-resolution
* Rendering Natural Camera Bokeh Effect with Deep Learning
* RePaint: Inpainting using Denoising Diffusion Probabilistic Models
* Replacing Mobile Camera ISP with a Single Deep Learning Model
* Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement
* Reversed Image Signal Processing and Raw Reconstruction. AIM 2022 Challenge Report
* Revisiting Random Channel Pruning for Neural Network Compression
* Rip Current Segmentation: A Novel Benchmark and YOLOv8 Baseline Results
* Scale-invariant line descriptors for wide baseline matching
* Self-Guided Network for Fast Image Denoising
* Self-Supervised 2D Image to 3D Shape Translation with Disentangled Representations
* Semantic super-resolution: When and where is it useful?
* Sesame: Semantic Editing of Scenes by Adding, Manipulating or Erasing Objects
* Seven Ways to Improve Example-Based Single Image Super Resolution
* Seventh Visual Object Tracking VOT2019 Challenge Results, The
* Shadow Removal with Paired and Unpaired Learning
* Single Image Depth Prediction Made Better: A Multivariate Gaussian Take
* Single-Image super-resolution: When model adaptation matters
* SMILE: Semantically-guided Multi-attribute Image and Layout Editing
* SMIT: Stochastic Multi-Label Image-to-Image Translation
* Some Like It Hot: Visual Guidance for Preference Prediction
* Source-free Depth for Object Pop-out
* Sparse Flow: Sparse Matching for Small to Large Displacement Optical Flow
* Sparse Representation Based Projections
* Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution
* SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking
* Srflow: Learning the Super-resolution Space with Normalizing Flow
* Stixels estimation without depth map computation
* Stixels Motion Estimation without Optical Flow Computation
* Structured Output SVM Prediction of Apparent Age, Gender and Smile from Deep Features
* Swin2sr: Swinv2 Transformer for Compressed Image Super-resolution and Restoration
* SwinIR: Image Restoration Using Swin Transformer
* Tenth Visual Object Tracking VOT2022 Challenge Results, The
* Towards closing the gap in weakly supervised semantic segmentation with DCNNs: Combining local and global models
* Towards Efficient Graph Convolutional Networks for Point Cloud Handling
* Towards Flexible Blind JPEG Artifacts Removal
* Towards Real-Time 4K Image Super-Resolution
* Towards Spectral Estimation from a Single RGB Image in the Wild
* Training-free Classification Framework for Textures, Writers, and Materials, A
* Transform Your Smartphone into a DSLR Camera: Learning the ISP in the Wild
* Unpaired Real-World Super-Resolution with Pseudo Controllable Restoration
* Unsupervised Learning for Real-World Super-Resolution
* Unsupervised Multimodal Video-to-Video Translation via Self-Supervised Learning
* Unsupervised Real-world Image Super Resolution via Domain-distance Aware Training
* Using a Deformation Field Model for Localizing Faces and Facial Points under Weak Supervision
* Vid3oC and IntVID Datasets for Video Super Resolution and Quality Mapping, The
* VRT: A Video Restoration Transformer
* Weakly Supervised Convolutional Network for Change Segmentation and Classification, A
* Weighted collaborative representation and classification of images
* WESPE: Weakly Supervised Photo Enhancer for Digital Cameras
* WSRD: A Novel Benchmark for High Resolution Image Shadow Removal
* Zero-Pair Image to Image Translation using Domain Conditional Normalization
Includes: Timofte, R.[Radu] Timofte, R.
258 for Timofte, R.

Timon, I. Co Author Listing * High-Throughput Infrastructure for Advanced ITS Services: A Case Study on Air Pollution Monitoring
Includes: Timon, I. Timón, I.

Timonen, J. Co Author Listing * Interface Detection Using a Quenched-Noise Version of the Edwards-Wilkinson Equation

Timoner, S.[Samson] Co Author Listing * Compact Representations for Fast Nonrigid Registration of Medical Images
* Face Recognition: Too Bias, or Not Too Bias?
* Recognizing Families In the Wild (RFIW): The 4th Edition
Includes: Timoner, S.[Samson] Timoner, S.

Timoney, D. Co Author Listing * Context-Aware E-Bike System to Reduce Pollution Inhalation While Cycling, A

Timoshina, G.[Galina] Co Author Listing * Remote Sensing of Infrasound Signals of the Voice of the Sea during the Evolution of Typhoons

Timoshina, G.A.[Galina A.] Co Author Listing * Cyclonic Process of the Voice of the Sea Microseism Generation and Its Remote Monitoring

Timotheou, S.[Stelios] Co Author Listing * Bayesian Traffic State Estimation Using Extended Floating Car Data
* Convex Optimal Control Framework for Autonomous Vehicle Intersection Crossing, A
* Distributed Traffic Signal Control Using the Cell Transmission Model via the Alternating Direction Method of Multipliers
* Fairness for Non-Orthogonal Multiple Access in 5G Systems
* Joint Route Guidance and Demand Management for Real-Time Control of Multi-Regional Traffic Networks
* Optimizing the Detection Performance of Smart Camera Networks Through a Probabilistic Image-Based Model
Includes: Timotheou, S.[Stelios] Timotheou, S.

Timoudas, T.O.[Thomas Ohlson] Co Author Listing * Creating and Leveraging a Synthetic Dataset of Cloud Optical Thickness Measures for Cloud Detection in MSI

Timouk, F.[Franck] Co Author Listing * Absolute and relative height-pixel accuracy of SRTM-GL1 over the South American Andean Plateau
* Comparative Assessments of the Latest GPM Mission's Spatially Enhanced Satellite Rainfall Products over the Main Bolivian Watersheds
* Role of Climate Variability and Human Activity on Poopó Lake Droughts between 1990 and 2015 Assessed Using Remote Sensing Data

Index for "t"


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