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Deformable 3D Convolution for Video Super-Resolution
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-030-01234-2_18openalex-snapshot
Image Super-Resolution Using Very Deep Residual Channel Attention Networks
inferredcites →https://doi.org/10.1007/978-3-030-11024-6_50openalex-snapshot
Devon: Deformable Volume Network for Learning Optical Flow
inferredcites →https://doi.org/10.1007/978-3-030-20887-5_32openalex-snapshot
Learning for Video Super-Resolution Through HR Optical Flow Estimation
inferredcites →https://doi.org/10.1007/978-3-030-58592-1_18openalex-snapshot
Spatial-Angular Interaction for Light Field Image Super-Resolution
inferredcites →https://doi.org/10.1007/s11263-018-01144-2openalex-snapshot
Video Enhancement with Task-Oriented Flow
inferredcites →https://doi.org/10.1109/cvpr.2016.207openalex-snapshot
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network
inferredcites →https://doi.org/10.1109/cvpr.2017.304openalex-snapshot
Real-Time Video Super-Resolution with Spatio-Temporal Networks and Motion Compensation
inferredcites →https://doi.org/10.1109/cvpr.2018.00179openalex-snapshot
Deep Back-Projection Networks for Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2018.00340openalex-snapshot
Deep Video Super-Resolution Network Using Dynamic Upsampling Filters Without Explicit Motion Compensation
inferredcites →https://doi.org/10.1109/cvpr.2019.00953openalex-snapshot
Deformable ConvNets V2: More Deformable, Better Results
inferredcites →https://doi.org/10.1109/cvpr.2019.01077openalex-snapshot
Fast Spatio-Temporal Residual Network for Video Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr.2019.01253openalex-snapshot
Learning Parallax Attention for Stereo Image Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00342openalex-snapshot
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00343openalex-snapshot
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
inferredcites →https://doi.org/10.1109/cvpr42600.2020.00803openalex-snapshot
Video Super-Resolution With Temporal Group Attention
inferredcites →https://doi.org/10.1109/cvprw.2019.00247openalex-snapshot
EDVR: Video Restoration With Enhanced Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.510openalex-snapshot
Learning Spatiotemporal Features with 3D Convolutional Networks
inferredcites →https://doi.org/10.1109/iccv.2015.68openalex-snapshot
Video Super-Resolution via Deep Draft-Ensemble Learning
inferredcites →https://doi.org/10.1109/iccv.2017.274openalex-snapshot
Robust Video Super-Resolution with Learned Temporal Dynamics
inferredcites →https://doi.org/10.1109/iccv.2017.479openalex-snapshot
Detail-Revealing Deep Video Super-Resolution
inferredcites →https://doi.org/10.1109/iccv.2017.89openalex-snapshot
Deformable Convolutional Networks
inferredcites →https://doi.org/10.1109/icmla.2019.00278openalex-snapshot
3D Deformable Convolutions for MRI Classification
inferredcites →https://doi.org/10.1109/lsp.2002.800503openalex-snapshot
Multiframe resolution-enhancement methods for compressed video
inferredcites →https://doi.org/10.1109/lsp.2011.2178595openalex-snapshot
Video Super-Resolution Using Generalized Gaussian Markov Random Fields
inferredcites →https://doi.org/10.1109/lsp.2018.2870536openalex-snapshot
A Progressively Enhanced Network for Video Satellite Imagery Superresolution
inferredcites →https://doi.org/10.1109/tci.2016.2532323openalex-snapshot
Video Super-Resolution With Convolutional Neural Networks
inferredcites →https://doi.org/10.1109/tip.2009.2034992openalex-snapshot
Motion Tuned Spatio-Temporal Quality Assessment of Natural Videos
inferredcites →https://doi.org/10.1109/tip.2018.2820807openalex-snapshot
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
inferredcites →https://doi.org/10.1109/tip.2020.2967596openalex-snapshot
Deep Video Super-Resolution Using HR Optical Flow Estimation
inferredcites →https://doi.org/10.4230/oasics.dx.2026.15openalex-snapshot
AutoResearch Lite: a reproducible paper-inspired experiment runner (Adam mechanism reproduction and convergence-speed comparison)
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Deep learning in medical image super resolution: a review
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Bidirectional Multi-scale Deformable Attention for Video Super-Resolution
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A comparative study of super-resolution algorithms for video streaming application
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HAMSA: Hybrid attention transformer and multi-scale alignment aggregation network for video super-resolution
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FFFN: Frame-By-Frame Feedback Fusion Network for Video Super-Resolution
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STDAN: Deformable Attention Network for Space-Time Video Super-Resolution
inferred← citeshttps://doi.org/10.1109/tpami.2024.3361010openalex-snapshot
Exploiting Optical Flow Guidance for Transformer-Based Video Inpainting
inferred← citeshttps://doi.org/10.1109/tpami.2026.3668757openalex-snapshot
Collaborative Feedback Discriminative Propagation for Video Super-Resolution
inferred← citeshttps://doi.org/10.1109/tvcg.2023.3259141openalex-snapshot
MNSS: Neural Supersampling Framework for Real-Time Rendering on Mobile Devices
inferred← citeshttps://doi.org/10.1109/tvlsi.2022.3221732openalex-snapshot
BitXpro: Regularity-Aware Hardware Runtime Pruning for Deep Neural Networks
inferred← citeshttps://doi.org/10.1109/vcip56404.2022.10008838openalex-snapshot
Controllable Space-Time Video Super-Resolution via Enhanced Bidirectional Flow Warping
inferred← citeshttps://doi.org/10.1109/wacv51458.2022.00014openalex-snapshot
High Dynamic Range Imaging of Dynamic Scenes with Saturation Compensation but without Explicit Motion Compensation
inferred← citeshttps://doi.org/10.1109/wacvw54805.2022.00016openalex-snapshot
Improved EDVR Model for Robust and Efficient Video Super-Resolution
inferred← citeshttps://doi.org/10.1111/coin.70052openalex-snapshot
A Deformable Convolutional Neural Network for Video Super‐Resolution
inferred← citeshttps://doi.org/10.1117/1.jei.31.4.043038openalex-snapshot
Video super-resolution with fused local and nonlocal feature
inferred← citeshttps://doi.org/10.1117/1.jei.33.4.043015openalex-snapshot
Hyperspectral image denoising via self-modulated cross-attention deformable convolutional neural network
inferred← citeshttps://doi.org/10.1145/3466752.3480123openalex-snapshot
Distilling Bit-level Sparsity Parallelism for General Purpose Deep Learning Acceleration
inferred← citeshttps://doi.org/10.1145/3474085.3475189openalex-snapshot
Stereo Video Super-Resolution via Exploiting View-Temporal Correlations
inferred← citeshttps://doi.org/10.1145/3581783.3611908openalex-snapshot
Kernel Dimension Matters: To Activate Available Kernels for Real-time Video Super-Resolution
inferred← citeshttps://doi.org/10.1145/3696409.3700250openalex-snapshot
HFS-HNeRV: High-Frequency Spectrum Hybrid Neural Representation for Videos
inferred← citeshttps://doi.org/10.1145/3779212.3790132openalex-snapshot
BitRed: Taming Non-Uniform Bit-Level Sparsity with a Programmable RISC-V ISA for DNN Acceleration
inferred← citeshttps://doi.org/10.1155/2021/9944385openalex-snapshot
Single-Image Super-Resolution Using Panchromatic Gradient Prior and Variational Model
inferred← citeshttps://doi.org/10.11728/cjss2026.01.2025-0002openalex-snapshot
Video Super-resolution Method for Spacecraft Approaching and Detecting Asteroids
inferred← citeshttps://doi.org/10.11834/jig.220130openalex-snapshot
Deep learning based video-related super-resolution technique： a survey
inferred← citeshttps://doi.org/10.11834/jrs.20221825openalex-snapshot
Super-resolution reconstruction of hypertemporal remote sensing images based on self-attention
inferred← citeshttps://doi.org/10.1190/geo-2024-0855openalex-snapshot
A hybrid CNN-Transformer network for linear noise suppression in 3D seismic data
inferred← citeshttps://doi.org/10.1561/9781680839739openalex-snapshot
Deep Learning for Image/Video Restoration and Super-resolution
inferred← citeshttps://doi.org/10.1609/aaai.v35i3.16310openalex-snapshot
Large Motion Video Super-Resolution with Dual Subnet and Multi-Stage Communicated Upsampling
inferred← citeshttps://doi.org/10.21203/rs.3.rs-5007826/v1openalex-snapshot
Design of Cryptographic Based Secured Medical Applications Using Iot Enabled Mobile Edge Computing
inferred← citeshttps://doi.org/10.23919/jsee.2024.000042openalex-snapshot
A Deep Multimodal Fusion and Multitasking Trajectory Prediction Model for Typhoon Trajectory Prediction to Reduce Flight Scheduling Cancellation
inferred← citeshttps://doi.org/10.26599/air.2025.9150054openalex-snapshot
A survey on deep learning techniques for image and video feature aggregation
inferred← citeshttps://doi.org/10.3390/app13010526openalex-snapshot
Video Super-Resolution with Regional Focus for Recurrent Network
inferred← citeshttps://doi.org/10.3390/app13095277openalex-snapshot
HiTIM: Hierarchical Task Information Mining for Few-Shot Action Recognition
inferred← citeshttps://doi.org/10.3390/app15031506openalex-snapshot
LightVSR: A Lightweight Video Super-Resolution Model with Multi-Scale Feature Aggregation
inferred← citeshttps://doi.org/10.3390/app16010124openalex-snapshot
Enhancing Continuous Sign Language Recognition via Spatio-Temporal Multi-Scale Deformable Correlation
inferred← citeshttps://doi.org/10.3390/electronics11091499openalex-snapshot
Video Super-Resolution Using Multi-Scale and Non-Local Feature Fusion
inferred← citeshttps://doi.org/10.3390/electronics14132574openalex-snapshot
Video Compression Using Hybrid Neural Representation with High-Frequency Spectrum Analysis
inferred← citeshttps://doi.org/10.3390/rs13071403openalex-snapshot
Double-Branch Network with Pyramidal Convolution and Iterative Attention for Hyperspectral Image Classification
inferred← citeshttps://doi.org/10.3390/rs15102574openalex-snapshot
Rethinking 3D-CNN in Hyperspectral Image Super-Resolution
inferred← citeshttps://doi.org/10.3390/rs16030592openalex-snapshot
Spectral-Spatial Domain Attention Network for Hyperspectral Image Few-Shot Classification
inferred← citeshttps://doi.org/10.3390/s23115030openalex-snapshot
Adapting Single-Image Super-Resolution Models to Video Super-Resolution: A Plug-and-Play Approach
inferred← citeshttps://doi.org/10.3390/s23187880openalex-snapshot
Real-Time Video Super-Resolution with Spatio-Temporal Modeling and Redundancy-Aware Inference
inferred← citeshttps://doi.org/10.3390/s23208574openalex-snapshot
A Lightweight Recurrent Grouping Attention Network for Video Super-Resolution
inferred← citeshttps://doi.org/10.3390/s25082402openalex-snapshot
FDI-VSR: Video Super-Resolution Through Frequency-Domain Integration and Dynamic Offset Estimation
inferred← citeshttps://doi.org/10.3390/s26020637openalex-snapshot
LIF-VSR: A Lightweight Framework for Video Super-Resolution with Implicit Alignment and Attentional Fusion
inferred← citeshttps://doi.org/10.3390/sym15101947openalex-snapshot
Transformer with Hybrid Attention Mechanism for Stereo Endoscopic Video Super Resolution
inferred← citeshttps://doi.org/10.36227/techrxiv.23896986openalex-snapshot
A Methodical Study of Deep Learning Based Video Super-Resolution
inferred← citeshttps://doi.org/10.36227/techrxiv.23896986.v1openalex-snapshot
A Methodical Study of Deep Learning Based Video Super-Resolution
inferred← citeshttps://doi.org/10.3788/ai.2024.20001openalex-snapshot
Review of polarimetric image denoising
inferred← citeshttps://doi.org/10.48550/arxiv.2011.03802openalex-snapshot
Symmetric Parallax Attention for Stereo Image Super-Resolution
inferred← citeshttps://doi.org/10.5753/webmedia.2025.15022openalex-snapshot
4D-STDF: Compressed Video Quality Enhancement with 3D Spatio-Temporal Fusion and Deformable Convolution
inferred← citeshttps://doi.org/10.58837/chula.the.2022.134openalex-snapshot
Deep consecutive attention network for video super-resolution
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