Cover Image

Learning Structure-from-Motion with Graph Attention Networks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Brynte, Lucas, Iglesias, José Pedro, Olsson, Carl, Kahl, Fredrik
Format:	Preprint
Published:	2023
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ProHOC: Probabilistic Hierarchical Out-of-Distribution Classification via Multi-Depth Networks
by: Wallin, Erik, et al.
Published: (2025)

Flopping for FLOPs: Leveraging equivariance for computational efficiency
by: Bökman, Georg, et al.
Published: (2025)

Semi-Supervised Hierarchical Open-Set Classification
by: Wallin, Erik, et al.
Published: (2026)

ProSub: Probabilistic Open-Set Semi-Supervised Learning with Subspace-Based Out-of-Distribution Detection
by: Wallin, Erik, et al.
Published: (2024)

Learning Temporal Saliency for Time Series Forecasting with Cross-Scale Attention
by: Delibasoglu, Ibrahim, et al.
Published: (2025)

MuM: Multi-View Masked Image Modeling for 3D Vision
by: Nordström, David, et al.
Published: (2025)

RefTr: Recurrent Refinement of Confluent Trajectories for 3D Vascular Tree Centerlines
by: Naeem, Roman, et al.
Published: (2025)

Octic Vision Transformers: Quicker ViTs Through Equivariance
by: Nordström, David, et al.
Published: (2025)

Feature-based Graph Attention Networks Improve Online Continual Learning
by: Sim, Adjovi, et al.
Published: (2025)

3D-Consistent Multi-View Editing by Correspondence Guidance
by: Bengtson, Josef, et al.
Published: (2025)

ARTA: Adaptive Mixed-Resolution Token Allocation for Efficient Dense Feature Extraction
by: Hagerman, David, et al.
Published: (2026)

Tiny models from tiny data: Textual and null-text inversion for few-shot distillation
by: Landolsi, Erik, et al.
Published: (2024)

Advancing Graph Neural Networks with HL-HGAT: A Hodge-Laplacian and Attention Mechanism Approach for Heterogeneous Graph-Structured Data
by: Huang, Jinghan, et al.
Published: (2024)

TimePillars: Temporally-Recurrent 3D LiDAR Object Detection
by: Calvo, Ernesto Lozano, et al.
Published: (2023)

SwInception -- Local Attention Meets Convolutions
by: Hagerman, David, et al.
Published: (2026)

Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
by: Hoang, Christopher, et al.
Published: (2025)

HEIR: Learning Graph-Based Motion Hierarchies
by: Zheng, Cheng, et al.
Published: (2025)

Local and Global Graph Modeling with Edge-weighted Graph Attention Network for Handwritten Mathematical Expression Recognition
by: Xie, Yejing, et al.
Published: (2024)

Spatial Sequence Attention Network for Schizophrenia Classification from Structural Brain MR Images
by: Shaik, Nagur Shareef, et al.
Published: (2024)

Poly-MgNet: Polynomial Building Blocks in Multigrid-Inspired ResNets
by: van Betteray, Antonia, et al.
Published: (2025)

Attention-Guided Masked Autoencoders For Learning Image Representations
by: Sick, Leon, et al.
Published: (2024)

Addressing degeneracies in latent interpolation for diffusion models
by: Landolsi, Erik, et al.
Published: (2025)

Motion meets Attention: Video Motion Prompts
by: Chen, Qixiang, et al.
Published: (2024)

Structure-Aware Consensus Network on Graphs with Few Labeled Nodes
by: Xu, Shuaike, et al.
Published: (2024)

Gaussian Rank-Based Neighborhood Degree for Graph Neural Networks in Image Classification
by: Duarte, Rafael Mendonça, et al.
Published: (2026)

Transformer with Controlled Attention for Synchronous Motion Captioning
by: Radouane, Karim, et al.
Published: (2024)

UnSegMedGAT: Unsupervised Medical Image Segmentation using Graph Attention Networks Clustering
by: Adityaja, A. Mudit, et al.
Published: (2024)

Graph Attention Neural Network for Botnet Detection: Evaluating Autoencoder, VAE and PCA-Based Dimension Reduction
by: Wasswa, Hassan, et al.
Published: (2025)

A Systematic Performance Analysis of Deep Perceptual Loss Networks: Breaking Transfer Learning Conventions
by: Pihlgren, Gustav Grund, et al.
Published: (2023)

GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
by: Yang, Aitao, et al.
Published: (2024)

Attention-Guided Dual-Stream Learning for Group Engagement Recognition: Fusing Transformer-Encoded Motion Dynamics with Scene Context via Adaptive Gating
by: Chowdhury, Saniah Kayenat, et al.
Published: (2026)

Light3R-SfM: Towards Feed-forward Structure-from-Motion
by: Elflein, Sven, et al.
Published: (2025)

Attention-Based Variational Framework for Joint and Individual Components Learning with Applications in Brain Network Analysis
by: Zhang, Yifei, et al.
Published: (2026)

R3D2: Realistic 3D Asset Insertion via Diffusion for Autonomous Driving Simulation
by: Ljungbergh, William, et al.
Published: (2025)

Learning to Learn without Forgetting using Attention
by: Vettoruzzo, Anna, et al.
Published: (2024)

Direct Motion Models for Assessing Generated Videos
by: Allen, Kelsey, et al.
Published: (2025)

Structured Spectral Graph Learning for Anomaly Classification in 3D Chest CT Scans
by: Di Piazza, Theo, et al.
Published: (2025)

Predicting Traffic Flow with Federated Learning and Graph Neural with Asynchronous Computations Network
by: Yaqub, Muhammad, et al.
Published: (2024)

Multi-Source Temporal Attention Network for Precipitation Nowcasting
by: Sarabia, Rafael Pablos, et al.
Published: (2024)

EMA: Effort Metric Attention for Anatomical Effort-Guided Human Motion Diffusion
by: Siy, Joshua, et al.
Published: (2026)